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  • 101
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    Foundations of science 4 (1999), S. 1-2 
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  • 102
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    Foundations of science 4 (1999), S. 83-93 
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  • 103
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    Foundations of science 4 (1999), S. 25-56 
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    Notes: Abstract Testing the validity of knowledge requires formal expression of that knowledge. Formality of an expression is defined as the invariance, under changes of context, of the expression's meaning, i.e. the distinction which the expression represents. This encompasses both mathematical formalism and operational determination. The main advantages of formal expression are storability, universal communicability, and testability. They provide a selective edge in the Darwinian competition between ideas. However, formality can never be complete, as the context cannot be eliminated. Primitive terms, observation set-ups, and background conditions are inescapable parts of formal or operational definitions, that all refer to a context beyond the formal system. Heisenberg's Uncertainty Principle and Gödel's Theorem provide special cases of this more universal limitation principle. Context-dependent expressions, on the other hand, have the benefit of being more flexible, intuitive and direct, and putting less strain on memory. It is concluded that formality is not an absolute property, but a context-dependent one: different people will apply different amounts of formality in different situations or for different purposes. Some recent computational and empirical studies of formality and contexts illustrate the emerging scientific investigation of this dependence.
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  • 104
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    Foundations of science 4 (1999), S. 57-82 
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    Keywords: pragmatism ; holism ; reductionism ; modelling ; proof ; heuristics ; learning ; reduction ; philosophy ; science
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    Topics: Natural Sciences in General
    Notes: Abstract The reductionist/holist debate is highly polarised. I propose an intermediate position of pragmatic holism. It derives from two claims: firstly, that irrespective of whether all natural systems are theoretically reducible, for many systems it is utterly impractical to attempt such a reduction, and secondly, that regardless of whether irreducible 'wholes’ exist, it is vain to try and prove this. This position illuminates the debate along new pragmatic lines by refocussing attention on the underlying heuristics of learning about the natural world.
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  • 105
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    Keywords: teleology ; purpose ; function ; cause-effect ; natural selection ; biology
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    Topics: Natural Sciences in General
    Notes: Abstract For many years, biology was largely descriptive (“natural history”), but with its emergence as a scientific discipline in its own right, a reductionist approach began, which has failed to be matched by adequate understanding of function of cells, organisms and species as whole entities. Every effort was made to “explain” biological phenomena in physico-chemical terms. It is argued that there is and always has been a clear distinction between life sciences and physical sciences, explicit in the use of the word biology. If this distinction is real, it implies that biological phenomena can never be entirely satisfactorily explained in terms of extant physicochemical laws. One notable manifestation of this is that living organisms appear to -- actually do -- behave in purposeful ways, and the inanimate universe does not. While this fundamental difference continues to be suppressed, the “purposiveness” (or teleology) which pervades biology remains anathema to almost all scientists (including most biologists) even to the present day. We argue here that it can, however, become a perfectly tenable position when the Theory of Natural Selection is accepted as the main foundation, the essential tenet, of biology that distinguishes it from the realm of physical sciences. In accepting this position, it remains quite legitimate to expect that in many but not all circumstances, extant physical laws (and presumably others still to be discovered) are in no way breached by biological systems, which cannot be otherwise since all organisms are composed of physical material.
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  • 106
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    Foundations of science 4 (1999), S. 95-105 
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  • 107
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    Foundations of science 4 (1999), S. 107-108 
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  • 108
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    Foundations of science 4 (1999), S. 227-229 
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  • 109
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    Foundations of science 4 (1999), S. 113-114 
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  • 110
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    Foundations of science 4 (1999), S. 111-112 
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  • 111
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    Foundations of science 4 (1999), S. 115-132 
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    Keywords: liar paradox ; quantum mechanics ; cognition ; logic
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    Topics: Natural Sciences in General
    Notes: Abstract In this paper we concentrate on the nature of the liar paradox asa cognitive entity; a consistently testable configuration of properties. We elaborate further on a quantum mechanical model (Aerts, Broekaert and Smets, 1999) that has been proposed to analyze the dynamics involved, and we focus on the interpretation and concomitant philosophical picture. Some conclusions we draw from our model favor an effective realistic interpretation of cognitive reality.
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  • 112
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    Foundations of science 4 (1999), S. 205-223 
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  • 113
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    Foundations of science 4 (1999), S. 225-225 
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  • 114
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    Foundations of science 4 (1999), S. 133-153 
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    Keywords: conceptual change ; negation ; falsification ; conventionalism ; diagnostic reasoning
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    Topics: Natural Sciences in General
    Notes: Abstract There has been little research into the weak kindsof negating hypotheses. Hypotheses may be unfalsifiable. In this case it is impossible tofind a contradiction in some area of the conceptualsystems in which they are incorporated.Notwithstanding this fact, it is sometimes necessaryto construct ways of rejecting the unfalsifiablehypothesis at hand by resorting to some external forms of negation, external because wewant to avoid any arbitrary and subjectiveelimination, which would be rationally orepistemologically unjustified. I will consider akind of ``weak'' (unfalsifiable) hypotheses that arehard to negate and the ways for making it easy. Inthese cases the subject can ``rationally'' decide towithdraw his hypotheses even in contexts where it is``impossible'' to find ``explicit'' contradictions: theuse of negation as failure (an interestingtechnique for negating hypotheses and accessing newones suggested by artificial intelligence) isilluminating. I plan to explore whether this kind ofnegation can be employed to model hypothesiswithdrawal in Poincaré's conventionalism of theprinciples of physics and in Freudian analyticreasoning.
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  • 115
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    Foundations of science 4 (1999), S. 231-235 
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  • 116
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    Foundations of science 4 (1999), S. 155-204 
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    Keywords: communicative rationality ; Einstein ; scientific revolution
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    Topics: Natural Sciences in General
    Notes: Abstract The aim of the paper is to demonstratethat Special Relativity and the Early Quantum Theory were created within the same programme of statisticalmechanics, thermodynamics and maxwellianelectrodynamics reconciliation. I shall try to explainwhy classical mechanics and classicalelectrodynamics were ``refuted'' almost simultaneouslyor, in more suitable terms for the present congress,why did the quantum revolution and the relativisticone both took place at the beginning of the 20-thcentury. I shall argue that the quantum andrelativistic revolutions were simultaneous since theyhad a common origin -- the clash between thefundamental theories of the second half of the 19-thcentury that constituted the ``body'' of ClassicalPhysics. The revolution's most dramatic pointwas Einstein's 1905 photon paper that laid thefoundations of both Special Relativity and OldQuantum Theory. Hence the dialectic of the oldtheories is crucial for theory change. Modern physicsbegan with Einstein's reconciliation ofelectrodynamics, mechanics and thermodynamics in 1905and his unification of Special Relativity andNewtonian Theory of Gravity. Or, in a more generalsocial context: progressive scientific change can bedescribed not in Weberian terms of zweckrationalaction forcing out all the other forms of action onlybut in terms of Habermas's communicative rationalityencouraging the establishment of mutual understandingbetween the various scientific communities also.Einstein's programme constituted a progressive stepwith respect to its rivals not because it couldexplain more ``facts'' or was more ``mathematical''. Itwas better than its rivals because it constituted abasis of communication and interpenetration betweenthree main paradigms of 19-th century physics. Ofcourse in the long run it resulted in empiricalsuccesses.
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  • 117
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    Foundations of science 4 (1999), S. 237-270 
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    Keywords: analogical reasoning ; scientific modeling ; scientific discovery ; heuristics
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    Notes: Abstract This paper aims at integrating the work onanalogical reasoning in Cognitive Science into thelong trend of philosophical interest, in this century,in analogical reasoning as a basis for scientificmodeling. In the first part of the paper, threesimulations of analogical reasoning, proposed incognitive science, are presented: Gentner's StructureMatching Engine, Mitchel's and Hofstadter's COPYCATand the Analogical Constraint Mapping Engine, proposedby Holyoak and Thagard. The differences andcontroversial points in these simulations arehighlighted in order to make explicit theirpresuppositions concerning the nature of analogicalreasoning. In the last part, this debate in cognitivescience is applied to some traditional philosophicalaccounts of formal and material analogies as a basisfor scientific modeling, like Mary Hesse`s, and tomore recent ones, that already draw from the work inArtificial Intelligence, like that proposed byAronson, Harré and Way.
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  • 118
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    Foundations of science 4 (1999), S. 325-336 
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    Keywords: discovery ; creativity ; methodology ; adaptive logics
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    Topics: Natural Sciences in General
    Notes: Abstract In this paper, I argue that logic hasan important role to play in the methodological studyof creativity. I also argue, however, that onlyspecial kinds of logic enable one to understand thereasoning involved in creative processes. I show thatdeductive and ampliative adaptive logics areappropriate tools in this respect.
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  • 119
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    Foundations of science 4 (1999), S. 271-305 
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    Keywords: abduction ; instincts ; Peirce ; perception ; theorematic reasoning
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    Topics: Natural Sciences in General
    Notes: Abstract Abductive reasoning takes place in forming``hypotheses'' in order to explain ``facts.'' Thus, theconcept of abduction promises an understanding ofcreativity in science and learning. It raises,however, also a lot of problems. Some of them will bediscussed in this paper. After analyzing thedifference between induction and abduction (1), Ishall discuss Peirce's claim that there is a ``logic''of abduction (2). The thesis is that this claim can beunderstood, if we make a clear distinction betweeninferential elements and perceptive elements ofabductive reasoning. For Peirce, the creative act offorming explanatory hypotheses and the emergence of``new ideas'' belongs exclusively to the perceptive sideof abduction. Thus, it is necessary to study the roleof perception in abductive reasoning (3). A furtherproblem is the question whether there is arelationship between abduction and Peirce's concept of``theorematic reasoning'' in mathematics (4). Both formsof reasoning could be connected, because both arebased on perception. The last problem concerns therole of instincts in explaining the success ofabductive reasoning in science, and the questionwhether the concept of instinct might be replaced bymethods of inquiry (5).
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  • 120
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    Foundations of science 4 (1999), S. 373-374 
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    Foundations of science 4 (1999), S. 307-323 
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    Keywords: abduction ; empirical progress ; truth approximation ; truthlikeness
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    Notes: Abstract This paper primarily deals with theconceptual prospects for generalizing the aim ofabduction from the standard one of explainingsurprising or anomalous observations to that ofempirical progress or even truth approximation. Itturns out that the main abduction task then becomesthe instrumentalist task of theory revision aiming atan empirically more successful theory, relative to theavailable data, but not necessarily compatible withthem. The rest, that is, genuine empirical progress aswell as observational, referential and theoreticaltruth approximation, is a matter of evaluation andselection, and possibly new generation tasks forfurther improvement. The paper concludes with a surveyof possible points of departure, in AI and logic, forcomputational treatment of the instrumentalist taskguided by the `comparative evaluation matrix'.
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  • 122
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    Foundations of science 4 (1999), S. 357-370 
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    Keywords: discovery ; Feyerabend ; Kepler ; rationality
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    Notes: Abstract In this paper I argue against the traditional viewthat in discovery processes there is no place forrational decisions. First I argue that some historicalprocesses in which an empirical law was developed,were rational. Second, I identify some of themethodological rules that we can follow in order to berational when constructing an empirical law. Finally,I argue that people who deny that scientific discoverycan be rational do not understand the nature ofmethodological rules.
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  • 123
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    Foundations of science 4 (1999), S. 337-355 
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    Keywords: Feynman ; Richard ; hermeneutics ; methodology of discovery ; quantum electrodynamics ; scientific change
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    Notes: Abstract Discoveries in physics imply two elements. The firstone is the belief that formal tools, already foundedin the framework of existing mathematical theories,may offer the solution to a puzzling anomaly. Thesecond one is the ability to assign a physical meaningto the adopted formalism, and to consider all itstheoretical implications. Discussing an historical case where the adoption of aparticular formalism represents the real motor of thecreative intuition, we mean to delineate scientificdiscovery both as a discontinuous change with respectto previous achievements and as a linear process ofknowledge enrichment. On March 1948, during the Pocono conference thatfollowed the one held in Shelter Island, Feynmananalysed the electron-photon interaction formulatingit in terms of the Lagrangian formalism. Thedevelopment of Feynman's idea draws attention to thepoint that novel theoretical discoveries may be theresult of applying existing formal tools. They may bethe result of giving different interpretations toprevious scientific thinking (according to thehermeneutical point that not even scientific textshave a single, absolute meaning but are given amultiplicity of possible readings by different peoplein different contexts).
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  • 124
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    Foundations of science 4 (1999), S. 405-426 
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    Keywords: discovery ; Heisenberg ; heuristics ; Pauli ; quantum theory
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    Topics: Natural Sciences in General
    Notes: Abstract This article analyses an episode in the earlyhistory of quantum theory: the controversy betweenPauli and Heisenberg about the anomalous Zeemaneffect, which was a main stumbling block for the oldquantum theory of Bohr. It is argued that theindividual philosophical views of both Pauli andHeisenberg directed their attempts to solve theanomaly and decisively influenced the solutions theyproposed. The results of this case study arecompared with the assertions of four theories ofscientific change, namely those of Kuhn, Lakatos,Laudan and Giere.
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  • 125
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    Foundations of science 4 (1999), S. 375-388 
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    Keywords: creativity ; scientific models ; radio sources
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    Topics: Natural Sciences in General
    Notes: Abstract This paper examines creative strategies employed inscientific modelling. It is argued that being creativepresents not a discrete event, but rather an ongoingeffort consisting of many individual `creative acts'.These take place over extended periods of time andcan be carried out by different people, working ondifferent aspects of the same project. The example ofextended extragalactic radio sources shows that, inorder to model a complicated phenomenon in itsentirety, the modelling task is split up into smallerproblems that result in several sub-models. This is away of using cognitive resources efficiently and in away which overcomes their limitations. Another aspectof modelling that requires creativity is theemployment of visualisation in order to reassemble,i.e. recreate the unity of, the various sub-models bymeans of visualisation. This illustrates how thecreative effort required to deal with the complexityof the complicated phenomenon of radio sources ischannelled in order to use cognitive resourcesefficiently and to stay within their capacity.
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  • 126
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    Foundations of science 4 (1999), S. 389-403 
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    Keywords: metaphor ; creativity ; heuristics ; C.S. Peirce ; oceanography
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    Topics: Natural Sciences in General
    Notes: Abstract Within Charles Sanders Peirce's semiotical theory, twodifferent kinds of creative metaphorical reasoning inscience can be identified. One of these, the buildingof remainder metaphors, is especially important forcreating new scientific models. We show that theconveyor belt metaphor provides an excellent examplefor Peirce's theory. The conveyor belt metaphor hasrecently been invented in order to describe theoceanic transport system. The paradigm of the oceanicconveyor belt strongly influenced the geosciencecommunity and the climate change discussion. Afteridentifying structures of metaphorical reasoning inscience (section 2), these structures are examined insection 3 for the conveyor belt metaphor in the fieldof oceanography. Finally, concluding remarks are givenin section 4.
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  • 127
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    Foundations of science 4 (1999), S. 427-461 
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    Keywords: conflict resolution ; computer-supported discovery ; measurement analysis ; model-based reasoning ; computer regimes
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    Topics: Natural Sciences in General
    Notes: Abstract Resolving conflicts between different measurements ofa property of a physical system may be a key step in a discoveryprocess. With the emergence of large-scale databases and knowledgebases with property measurements, computer support for the task ofconflict resolution has become highly desirable. We will describe amethod for model-based conflict resolution and the accompanyingcomputer tool KIMA, which have been applied in a case-study inmaterials science. In order to be a useful aid to scientists, the toolneeds to be integrated with other tools in a computer-supporteddiscovery environment. We will give an outline of such acomputer-supported discovery environment and argue that its use mightlead to new ways of doing science, so-called computer regimes.
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  • 128
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    Foundations of science 4 (1999), S. 507-510 
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  • 129
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    Foundations of science 4 (1999), S. 463-482 
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    Keywords: linguistic machine discovery ; scientific discovery ; prospects for computational discovery
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    Topics: Natural Sciences in General
    Notes: Abstract The article reports the results from the developmentof four data-driven discovery systems, operating inlinguistics. The first mimics the induction methods ofJohn Stuart Mill, the second performs componentialanalysis of kinship vocabularies, the third is ageneral multi-class discrimination program, and thefourth finds logical patterns in data. These systemsare briefly described and some arguments are offeredin favour of machine linguistic discovery. Thearguments refer to the strength of machines incomputationally complex tasks, the guaranteedconsistency of machine results, the portability ofmachine methods to new tasks and domains, and thepotential machines provide for our gaining newinsights.
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  • 130
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    Foundations of science 4 (1999), S. 483-495 
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    Keywords: discovery ; drug lead ; pharmacy ; philosophy of medicine ; qualitative reasoning
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    Topics: Natural Sciences in General
    Notes: Abstract How can new drug lead suggestions beinferred from neurophysiological models? This paperaddresses this question based on a case study ofresearch into Parkinson's disease at the GroningenUniversity Department of Pharmacy. It is argued thatneurophysiological box-and-arrow models can beunderstood as qualitative differential equationmodels. An inference task is defined to helpunderstand and possibly aid the discovery andexplanation of new drug lead suggestions.
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    Foundations of science 5 (2000), S. 119-120 
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    Foundations of science 5 (2000), S. 103-118 
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    Foundations of science 5 (2000), S. 61-102 
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    Keywords: cultural anthropology ; aesthetics ; literary criticism ; art history ; philosophy ; art criticism
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    Topics: Natural Sciences in General
    Notes: Abstract The representation of reality is a fundamental concept in the perception of theworld. Its historical consideration leads to an understanding of historical andcontemporary culture. In this paper we specifically investigate theanthropometric stage of cultural development as a historical world view. Wedefine this stage on the basis of René Girard's hypotheses on the origin ofculture, and we isolate its principles. Next, we consider the function of art asthe representation of cultural values. We investigate the three major motivesof artistic representation in the anthropometric stage, i.e. beauty, dramatizationand mimesis. We show how and why these motives play an essential partin the obfuscation and explanation of the origin of culture. Finally, we showhow these developments are dealt with in the aesthetics of Plato and Aristotle.
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    Foundations of science 5 (2000), S. 1-2 
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    Foundations of science 5 (2000), S. 3-45 
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    Keywords: Bohr ; Einstein ; nonlocality ; quantum theory ; realism
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    Topics: Natural Sciences in General
    Notes: Abstract In this essay I examine various aspects of the nearcentury-long debate concerning the conceptualfoundations of quantum mechanics and the problems ithas posed for physicists and philosophers fromEinstein to the present. Most crucial here is theissue of realism and the question whether quantumtheory is compatible with any kind of realist orcausal-explanatory account which goes beyond theempirical-predictive data. This was Einstein's chiefconcern in the famous series of exchanges with NielsBohr when he refused to accept the truth orcompleteness of a doctrine (orthodox QM) which ruledsuch questions to be strictly inadmissible. I discussthe later history of quantum-theoretical debate withparticular reference to the issue of nonlocality,i.e., the phenomenon of superluminal(faster-than-light) interaction betweenwidely-separated particles. Then I show how thestandard `Copenhagen' interpretation of QM hasinfluenced current anti-realist orontological-relativist approaches to philosophy ofscience. Indeed, there are clear signs that somephilosophers have retreated from a realist positionvery largely in response to just these problems. So itis important to ask exactly why – on what scientificor philosophical grounds – any preferred alternative(causal-realist) construal should have been ruled outas a matter of orthodox QM wisdom. Moreconstructively, my paper presents various arguments infavour of one such alternative, the `hidden-variables'theory developed since the early 1950s by David Bohmand consistently marginalised by proponents of theCopenhagen doctrine.
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    Foundations of science 5 (2000), S. 121-127 
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    Foundations of science 5 (2000), S. 47-60 
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    Notes: Abstract Quantum mechanics is usually presented as a challenge to scientific realism, but I will argue that the details of quantum mechanics actually support realism. I will first present some basic quantum mechanical concepts and results, including the Einstein-Podolsky-Rosen (EPR) experiment and Bell's theorem, and do it in a way that everyone can understand. I will then use the physics to inform the philosophy, showing that quantum mechanics provides evidence to support epistemological realism.
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    Foundations of science 5 (2000), S. 157-184 
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    Keywords: creative agent ; creative dynamic agency ; field of phenomena ; mosaic of models ; multilevel insertion of models
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    Topics: Natural Sciences in General
    Notes: Abstract There are two classical and opposite positions about scientific discovery: the one that conceives scientific discovery activity as fully rational and the one that conceives scientific discovery activity as fully irrational. In the first case, machines are regarded as able to perform the scientific discovery process whereas, in the second case, machines are considered unable to perform any part of the scientific discovery process.We adopt a third intermediate approach that envisages a new role for machines, which are conceived as descriptions of the results of scientific discovery activity. More precisely, the purpose of the paper is to illustrate the multilevel structure of a machine, called creative dynamic agency, that represents the articulated and incremental description of the product of scientific discovery process. The multilevel architecture reflects the composition relation that holds among phenomena described by creative agents that compose creative dynamic agency.
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    Keywords: analogy ; conceptual learning ; reasoning ; scientific discovery ; teaching of physics ; transfer mechanism
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    Topics: Natural Sciences in General
    Notes: Abstract Confronted with problems or situations that do not yield toknown theories and world views, scientists and students are alike. Theyare rarely able to directly build a model or a theory thereof. Rather,they must find ways to make sense of the circumstances using theircurrent knowledge and adjusting what is recognized in the process. Thisway of thinking, using past ways of perceiving the physical world tobuild new ones does not follow a logical path and cannot be described astheory revision. Likewise, in many situations it is awkward, indeedoften impossible, to resort to analogical reasoning to account for it.This paper presents a new mechanism, called `tunnel effect', that mayexplain, in part, how scientists and students reason while constructinga new conceptual domain. `Tunnel effect' is also contrasted withanalogical reasoning.
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    Foundations of science 5 (2000), S. 185-207 
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    Keywords: creativity ; explanatory induction ; informativeness ; intensional complexity ; machine learning ; MDL principle ; model evaluation ; Occam's Razor ; scientific and knowledge discovery
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    Topics: Natural Sciences in General
    Notes: Abstract The Minimum Description Length (MDL) principle is the modernformalisation of Occam's razor. It has been extensively and successfullyused in machine learning (ML), especially for noisy and long sources ofdata. However, the MDL principle presents some paradoxes andinconveniences. After discussing all these, we address two of the mostrelevant: lack of explanation and lack of creativity. We present newalternatives to address these problems. The first one, intensionalcomplexity, avoids extensional parts in a description, so distributingcompression ratio in a more even way than the MDL principle. The secondone, information gain, forces that the hypothesis is informative (orcomputationally hard to discover) wrt. the evidence, so giving a formaldefinition of what is to discover.
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    Foundations of science 5 (2000), S. 209-224 
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    Keywords: conceptual revolution ; culture in science ; heuristic reasoning ; relativity theory ; relativism ; scientific discovery ; scientific method
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    Topics: Natural Sciences in General
    Notes: Abstract Relativity Theory by Albert Einstein has been so far littleconsidered by cognitive scientists, notwithstanding its undisputedscientific and philosophical moment. Unfortunately, we don't have adiary or notebook as cognitively useful as Faraday's. But physicshistorians and philosophers have done a great job that is relevant bothfor the study of the scientist's reasoning and the philosophy ofscience. I will try here to highlight the fertility of a `triangulation'using cognitive psychology, history of science and philosophy of sciencein starting answering a clearly very complex question:why did Einstein discover Relativity Theory? Here we arenot much concerned with the unending question of precisely whatEinstein discovered, that still remains unanswered, for we have noconsensus over the exact nature of the theory's foundations(Norton 1993). We are mainly interested in starting to answer the`how question', and especially the following sub-question: what(presumably) were his goals and strategies in hissearch? I will base my argument on fundamental publications ofEinstein, aiming at pointing out a theory-specific heuristic, settingboth a goal and a strategy: covariance/invariance.The result has significance in theory formation in science, especiallyin concept and model building. It also raises other questions that gobeyond the aim of this paper: why was he so confident in suchheuristic? Why didn't many other scientists use it? Where did he keep ? such a heuristic? Do we have any other examples ofsimilar heuristic search in other scientific problemsolving?
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    Foundations of science 5 (2000), S. 255-259 
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    Foundations of science 5 (2000), S. 225-238 
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    Keywords: connectionism ; evolutionary epistemology ; genetic algorithms ; neural networks ; scientific discovery
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    Topics: Natural Sciences in General
    Notes: Abstract Some philosophers suggest that the development of scientificknowledge is a kind of Darwinian process. The process of discovery,however, is one problematic element of this analogy. I compare HerbertSimon's attempt to simulate scientific discovery in a computer programto recent connectionist models that were not designed for that purpose,but which provide useful cases to help evaluate this aspect of theanalogy. In contrast to the classic A.I. approach Simon used, ``neuralnetworks'' contain no explicit protocols, but are generic learningsystems built on the model of the interconnections of neurons in thebrain. I describe two cases that take the connectionist approach a stepfurther by using genetic algorithms, a form of evolutionary computationthat explicitly models Darwinian mechanisms. These cases show thatDarwinian mechanisms can make novel discoveries of complex, previouslyunknown patterns. With some caveats, they lend support to evolutionaryepistemology.
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    Foundations of science 5 (2000), S. 239-253 
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    Keywords: Bayesianism ; confirmation ; evidence ; psychology
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    Topics: Natural Sciences in General
    Notes: Abstract The remarkable transition from helpless infant to sophisticatedfive-year-old has long captured the attention of scholars interested inthe discovery of knowledge. To explain these achievements, developmentalpsychologists often compare children's discovery procedures to those ofprofessional scientists. For the child to be qualified as a ``littlescientist'', however, intellectual development must be shown to derivefrom rational hypothesis selection in the face of evidence. In thepresent paper we focus on one dimension of rational theory-choice,namely, the relation between hypothesis confirmation and evidencediversity. Psychological research suggests cultural variability inappreciating evidence diversity and lack of such appreciation by youngchildren. Before reaching conclusions about the ``little scientist''thesis, however, it is essential to normatively analyze the diversityissue. We undertake such an analysis within a Bayesianperspective.
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    Keywords: development ; geosystems ; human ecology ; sustainability
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    Topics: Natural Sciences in General
    Notes: Abstract The concept of sustainable development is here revised in the light of a brief historical analysis, followed by a semantic analysis of the expressions development and sustainability. The authors criticize the common use of this concept in a loose way or in wide generalizations, to conclude, based on the principles of human ecology, that it is only possible to make it operational in limited spans of time and in limited spatial units.
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    Foundations of science 5 (2000), S. 269-297 
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    Keywords: additivity ; aggregativity ; emergence ; functional localization fallacies ; heuristics ; near-decomposeability ; reduction ; whole-parts relations
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    Topics: Natural Sciences in General
    Notes: Abstract Most philosophical accounts of emergence are incompatible with reduction. Most scientists regard a system property as emergent relative to properties of its parts if it depends upon their mode of organization-a view consistent with reduction. Emergence is a failure of aggregativity, in which ``the whole is nothing more than the sum of its parts''. Aggregativity requires four conditions, giving powerful tools for analyzing modes of organization. Differently met for different decompositions of the system, and in different degrees, the structural conditions can provide evaluation criteria for choosing decompositions, ``natural kinds'', and detecting functional localization fallacies, approximations, and various biases of vulgar reductionisms. This analysis of emergence and use of these conditions as heuristics is consistent with a broader reductionistic methodology.
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    Foundations of science 5 (2000), S. 299-321 
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    Keywords: first-order languages ; higher-order languages ; observation ; quantitative measurement ; realism ; representation ; theorem ; theory of measurement
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    Topics: Natural Sciences in General
    Notes: Abstract Putnam's ``model-theoretic'' argument against metaphysical realism presupposes that an ideal scientific theory is expressible in a first order language. The central aim of this paper is to show that Putnam's ``first orderization'' of science, although unchallenged by numerous critics, makes his argument unsound even for adequate theories, never mind an ideal one. To this end, I will argue that quantitative theories, which dominate the natural sciences, can be adequately interpreted and evaluated only with the help of so-called theories of measurement whose epistemological and methodological purpose is to justify systematic assignments of quantitative values to objects in the world. And, in order to fulfill this purpose, theories of measurement must have an essentially higher order logical structure. As a result, Putnam's argument fails because much of science turns out to rest on essentially higher order theoretical assumptions about the world.
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    Foundations of science 5 (2000), S. 323-338 
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    Keywords: epistemology ; evolution of animal cognition abilities ; problem of human logic origin
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    Topics: Natural Sciences in General
    Notes: Abstract The main problem discussed in this paper is: “Why and how did animal cognition abilities arise?” It is argued that investigations of the evolution of animal cognition abilities are very important from an epistemological point of view. A new direction for interdisciplinary researches – the creation and development of the theory of human logic origin – is proposed. The approaches to the origination of such a theory (mathematical models of ``intelligent invention'' of biological evolution, the cybernetic schemes of evolutionary progress and purposeful adaptive behavior) as well as potential interdisciplinary links of the theory are described and analyzed.
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    Foundations of science 5 (2000), S. 391-393 
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    Foundations of science 5 (2000), S. 339-378 
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    Keywords: conventionalism ; history of science ; hierarchical differentiation ; human equality ; human inequality ; philosophy, universality
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    Topics: Natural Sciences in General
    Notes: Abstract We argue that the concepts of `human equality' and `inequality' play an important role in the structure of science and philosophy. When the value of `human inequality' predominates, scientific categories are formed in accordance with the principle of `hierarchical differentiation' and concepts remain closely tied to the objects they are referring to. Following Mirowski we define this as the `anthropometric stage' of human thought and development. Contrary, Mirowski's `syndetic stage' refers to societies where the value of `human equality' prevails. Here concepts appear that are universally applicable. However, because of their conventional nature these concepts cannot be `grasped' any longer by human intuition. Between the `anthropometric' and `syndetic' stages, a `lineamentric stage' appears, a period of transition from `human equality' to `human inequality'. Being both a bridge and gap between the two other stages, the `lineamentric' stage contains many contradictions between an `abstract attitude' and `concrete categories'. In this paper we examine the anthropometric, lineamentric and syndetic stages and discuss several examples taken from philosophy, logic, mathematics and physics.
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    Foundations of science 5 (2000), S. 379-390 
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    Keywords: complexity ; learning ; modelling ; noise ; simplicity
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    Notes: Abstract It is argued that complexity is not attributable directly to systems or processes but rather to the descriptions of their `best' models, to reflect their difficulty. Thus it is relative to the modelling language and type of difficulty. This approach to complexity is situated in a model of modelling. Such an approach makes sense of a number of aspects of scientific modelling: complexity is not situated between order and disorder; noise can be explicated by approaches to excess modelling error; and simplicity is not truth indicative but a useful heuristic when models are produced by a being with a tendency to elaborate in the face of error.
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    Foundations of science 5 (2000), S. 395-398 
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    Foundations of science 5 (2000), S. 545-546 
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    Foundations of science 5 (2000), S. 533-534 
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    Foundations of science 5 (2000), S. 457-490 
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    Notes: Abstract The Principia Cybernetica Project was created to develop an integrated philosophy or world view, based on the theories of evolution, self-organization, systems and cybernetics. Its conceptual network has been implemented as an extensive website. The present paper reviews the assumptions behind the project, focusing on its rationale, its philosophical presuppositions, and its concrete methodology for computer-supported collaborative development. Principia Cybernetica starts from a process ontology, where a sequence of elementary actions produces ever more complex forms of organization through the mechanism of variation and selection, and metasystem transition. Its epistemology is constructivist and evolutionary: models are constructed by subjects for their own purposes, but undergo selection by the environment. Its ethics takes fitness and the continuation of evolution as the basic value, and derives more concrete guidelines from this implicit purpose. Together, these postulates and their implications provide answers to a range of age-old philosophical questions.
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    Foundations of science 5 (2000), S. 491-531 
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    Keywords: atom models ; scientific constraints ; enumerative inductivism ; three versions of eliminative inductivism ; models and theories ; falsificationism
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    Topics: Natural Sciences in General
    Notes: Abstract Falsificationism has dominated 20th century philosophy of science. It seemed to have eclipsed all forms of inductivism. Yet recent debates have revived a specific form of eliminative inductivism, the basic ideas of which go back to F. Bacon and J.S. Mill. These modern endorsements of eliminative inductivism claim to show that progressive problem solving is possible using induction, rather than falsification as a method of justification. But this common ground between falsificationism and eliminative inductivism has not led to a detailed investigation into the relationship, if any, which may exist between these two methodologies. This paper reviews several versions of eliminative inductivism, establishes a natural relation between eliminative inductivism and falsificationism, which derives from the distinction between models and theories, and carries out this investigation against a case study of the construction of atom models. The result of the investigation is that falsificationism is a form of eliminative inductivism in the limit of certain constraints.
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    Foundations of science 5 (2000), S. 399-428 
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    Keywords: realism ; nominalism ; theory of self ; complementarity ; introspection ; mental structure ; mental function ; universals ; cogito
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    Topics: Natural Sciences in General
    Notes: Abstract This paper deals with some formal properties of objects that are supposed to be internal to persons, that is, mental structures and mental functions. Depending on the ways of talking about these internal objects, they will appear different. Two types of discourse will be presented, to be called the realist and the nominalist discourses, and for eachdiscourse I will focus upon the construction of `self'.The realist discourse assumes an identity between the person and his construction of himself. I will illustrate this discourse in terms of Descartes' ideas on himself as a `thinking substance'. The nominalist discourse assumes an impossibility to attain this identity, and instead to imply a complementarity between the person and his self-construction. I will illustrate this discourse in terms of the problems both William James and Sartre discerned when a conscious person chases after his own consciousness (termed `judging thought' and `pour-soi' respectively).
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    Foundations of science 5 (2000), S. 429-456 
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    Keywords: awareness ; reflexive awareness and consciousness ; evolution ; experience and pattern matching ; symbolic language
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    Topics: Natural Sciences in General
    Notes: Abstract An evolutionary point of view is proposed to make more appropriate distinctions between experience, awareness and consciousness. Experience can be defined as a characteristic linked closely to specific pattern matching, a characteristic already apparent at the molecular level at least. Awareness can be regarded as the special experience of one or more central, final modules in the animal neuronal brain. Awareness is what experience is to animals. Finally, consciousness could be defined as reflexive awareness. The ability for reflexive awareness is distinctly different from animal and human awareness and depends upon the availability of a separate frame of reference, as provided by symbolic language. As such, words have made reflexive awareness – a specific and infrequent form of awareness – possible. Conciousness might be defined as the experience evoked by considering, i.e. thinking about experiences themselves. If there is a hard problem of explaining consciousness, than this actually must be considered as the hard problem already met when trying to explain basic experience, since its nature remains elusive.
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    Foundations of science 5 (2000), S. 535-544 
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    Naturwissenschaften 80 (1993), S. 41-43 
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    Naturwissenschaften 80 (1993), S. 38-41 
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    Naturwissenschaften 80 (1993), S. 36-38 
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    Naturwissenschaften 80 (1993), S. 43-46 
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    Naturwissenschaften 80 (1993), S. 439-453 
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    Naturwissenschaften 80 (1993), S. 46-47 
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    Naturwissenschaften 80 (1993), S. 48-50 
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    Naturwissenschaften 80 (1993), S. 454-460 
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    Naturwissenschaften 80 (1993), S. A7 
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    Naturwissenschaften 80 (1993), S. 461-462 
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    Naturwissenschaften 80 (1993), S. 472-473 
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    Naturwissenschaften 80 (1993), S. 470-472 
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    Naturwissenschaften 80 (1993), S. 468-469 
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    Naturwissenschaften 80 (1993), S. 476-478 
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    Naturwissenschaften 80 (1993), S. 478-481 
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    Naturwissenschaften 80 (1993), S. 484-486 
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    Naturwissenschaften 80 (1993), S. 487-500 
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    Naturwissenschaften 80 (1993), S. 474-475 
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    Naturwissenschaften 80 (1993), S. 481-483 
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    Naturwissenschaften 80 (1993), S. 511-513 
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    Naturwissenschaften 80 (1993), S. 521-524 
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    Naturwissenschaften 80 (1993), S. 516-518 
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    Naturwissenschaften 80 (1993), S. 513-516 
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    Naturwissenschaften 80 (1993), S. 524-526 
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    Naturwissenschaften 80 (1993), S. 527-528 
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    Naturwissenschaften 80 (1993), S. 530-533 
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    Naturwissenschaften 80 (1993), S. 534-536 
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    Naturwissenschaften 80 (1993), S. 537-546 
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    Naturwissenschaften 80 (1993), S. 547-555 
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    Naturwissenschaften 80 (1993), S. 558-560 
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    Naturwissenschaften 80 (1993), S. 564-566 
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    Naturwissenschaften 80 (1993), S. 566-568 
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