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  • 1
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    Journal for general philosophy of science 28 (1997), S. 83-117 
    ISSN: 1572-8587
    Keywords: emergence ; levels ; explanation ; determinism ; ontology ; reduction ; materialism ; vitalism
    Source: Springer Online Journal Archives 1860-2000
    Topics: Philosophy , Nature of Science, Research, Systems of Higher Education, Museum Science
    Notes: Abstract The vitalism/reductionism debate in the life sciences shows that the idea of emergence as something principally unexplainable will often be falsified by the development of science. Nevertheless, the concept of emergence keeps reappearing in various sciences, and cannot easily be dispensed with in an evolutionary world-view. We argue that what is needed is an ontological non reductionist theory of levels of reality which includes a concept of emergence, and which can support an evolutionary account of the origin of levels. Classical explication of emergence as “the creation of new properties” is discussed critically, and specific distinctions between various kinds of emergence is introduced for the purpose of developing an ontology of levels, framed in a materialistic and evolutionary perspective. A concept of the relation between levels as being inclusive is suggested, permitting the “local” existence of different ontologies. We identify, as a working hypothesis, four primary levels and explicate their nonhomomorphic interlevel relations. Explainability of emergence in relation to determinism and predictability is considered. Recent research in self-organizing non-linear dynamical systems represents a revival of the scientific study of emergence, and we argue that these recent developments can be seen as a step toward a final “devitalisation” of emergence.
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  • 2
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    Minds and machines 8 (1998), S. 39-60 
    ISSN: 1572-8641
    Keywords: cause ; causation ; directed graphs ; explanation ; judgment ; under certainty
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Philosophy
    Notes: Abstract I argue that psychologists interested in human causal judgment should understand and adopt a representation of causal mechanisms by directed graphs that encode conditional independence (screening off) relations. I illustrate the benefits of that representation, now widely used in computer science and increasingly in statistics, by (i) showing that a dispute in psychology between ‘mechanist’ and ‘associationist’ psychological theories of causation rests on a false and confused dichotomy; (ii) showing that a recent, much-cited experiment, purporting to show that human subjects, incorrectly let large causes ‘overshadow’ small causes, misrepresents the most likely, and warranted, causal explanation available to the subjects, in the light of which their responses were normative; (iii) showing how a recent psychological theory (due to P. Cheng) of human judgment of causal power can be considerably generalized: and (iv) suggesting a range of possible experiments comparing human and computer abilities to extract causal information from associations.
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  • 3
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    Minds and machines 8 (1998), S. 137-159 
    ISSN: 1572-8641
    Keywords: explanation ; theories ; concepts ; division of cognitive labor ; cognitive development
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Philosophy
    Notes: Abstract We introduce two notions–the shadows and the shallows of explanation–in opening up explanation to broader, interdisciplinary investigation. The “shadows of explanation” refer to past philosophical efforts to provide either a conceptual analysis of explanation or in some other way to pinpoint the essence of explanation. The “shallows of explanation” refer to the phenomenon of having surprisingly limited everyday, individual cognitive abilities when it comes to explanation. Explanations are ubiquitous, but they typically are not accompanied by the depth that we might, prima facie, expect. We explain the existence of the shadows and shallows of explanation in terms of there being a theoretical abyss between explanation and richer, theoretical structures that are often attributed to people. We offer an account of the shallows, in particular, both in terms of shorn-down, internal, mental machinery, and in terms of an enriched, public symbolic environment, relative to the currently dominant ways of thinking about cognition and the world.
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  • 4
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    Minds and machines 8 (1998), S. 101-118 
    ISSN: 1572-8641
    Keywords: cognitive development ; explanation ; phenomenology ; science ; theories
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Philosophy
    Notes: Abstract I argue that explanation should be thought of as the phenomenological mark of the operation of a particular kind of cognitive system, the theory-formation system. The theory-formation system operates most clearly in children and scientists but is also part of our everyday cognition. The system is devoted to uncovering the underlying causal structure of the world. Since this process often involves active intervention in the world, in the case of systematic experiment in scientists, and play in children, the cognitive system is accompanied by a ‘theory drive’, a motivational system that impels us to interpret new evidence in terms of existing theories and change our theories in the light of new evidence. What we usually think of as explanation is the phenomenological state that accompanies the satisfaction of this drive. However, the relation between the phenomenology and the cognitive system is contingent, as in similar cases of sexual and visual phenomenology. Distinctive explanatory phenomenology may also help us to identify when the theory-formation system is operating.
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  • 5
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    Minds and machines 8 (1998), S. 119-136 
    ISSN: 1572-8641
    Keywords: explanation ; models ; theories ; children's explanations ; philosophy ofscience
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Philosophy
    Notes: Abstract In this paper we provide a psychological account of the nature and development of explanation. We propose that an explanation is an account that provides a conceptual framework for a phenomenon that leads to a feeling of understanding in the reader/hearer. The explanatory conceptual framework goes beyond the original phenomenon, integrates diverse aspects of the world, and shows how the original phenomenon follows from the framework. We propose that explanations in everyday life are judged on the criteria of empirical accuracy, scope, consistency, simplicity, and plausibility. We conclude that explanations in science are evaluated by the same criteria, plus those of precision, formalisms, and fruitfulness. We discuss several types of explanation that are used in everyday life – causal/mechanical, functional, and intentional. We present evidence to show that young children produce explanations (often with different content from those of adults) that have the same essential form as those used by adults. We also provide evidence that children use the same evaluation criteria as adults, but may not apply those additional criteria for the evaluation of explanations that are used by scientists.
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  • 6
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    Journal for general philosophy of science 22 (1991), S. 245-261 
    ISSN: 1572-8587
    Keywords: realism ; interpretation ; meaning ; object of knowledge ; explanation ; indeterminacy
    Source: Springer Online Journal Archives 1860-2000
    Topics: Philosophy , Nature of Science, Research, Systems of Higher Education, Museum Science
    Notes: Summary This paper tries to show how the irreducible indeterminacy of textual meanings can be reconciled with epistemological realism which normally presupposes independently existing but determinate objects of knowledge. E.D. Hirsch's project of objective interpretation, including his most recent attempts to show that meanings, in spite of their openness to future modifications, are historically determined objects of knowledge, is being criticized. The paper argues that his use of the semantics and the reference theories of Kripke, Putnam, and others forces him to give up, against his own intention, his methodologically important distinction between meaning and significance. Within such theories a strict separation of linguistic knowledge of meaning and world knowledge can no longer be upheld. Since the application of individually and historically variable world knowledge is unavoidable in the process of understanding texts, the textual meanings reconstructed by readers will always remain indeterminate. However, this state of affairs does not force us to abandon epistemological realism as it can be shown that the meanings of words and texts are not objects of knowledge in the usual sense. Meanings are cognitive capacities which make our knowledge of external objects possible. They are thus not themselves objects of knowledge. Systematic interpretation of texts in the sense of obtaining objective knowledge is therefore impossible. Nonetheless, suitably developed psycholinguistic theories of text comprehension allow us, at least in principle, to explain systematically how interpretations come about.
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  • 7
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    Minds and machines 1 (1991), S. 43-54 
    ISSN: 1572-8641
    Keywords: Artificial intelligence ; causality ; cognition ; computation ; explanation ; mind/body problem ; other-minds problem ; robotics ; Searle ; symbol grounding ; Turing Test
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Philosophy
    Notes: Abstract Any attempt to explain the mind by building machines with minds must confront the other-minds problem: How can we tell whether any body other than our own has a mind when the only way to know is by being the other body? In practice we all use some form of Turing Test: If it can do everything a body with a mind can do such that we can't tell them apart, we have no basis for doubting it has a mind. But what is “everything” a body with a mind can do? Turing's original “pen-pal” version of the Turing Test (the TT) only tested linguistic capacity, but Searle has shown that a mindless symbol-manipulator could pass the TT undetected. The Total Turing Test (TTT) calls instead for all of our linguistic and robotic capacities; immune to Searle's argument, it suggests how to ground a symbol manipulating system in the capacity to pick out the objects its symbols refer to. No Turing Test, however, can guarantee that a body has a mind. Worse, nothing in the explanation of its successful performance requires a model to have a mind at all. Minds are hence very different from the unobservables of physics (e.g., superstrings); and Turing Testing, though essential for machine-modeling the mind, can really only yield an explanation of the body.
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  • 8
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    Minds and machines 1 (1991), S. 185-196 
    ISSN: 1572-8641
    Keywords: Levels ; decomposition ; explanation ; function
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Philosophy
    Notes: Abstract Marr's account of the analysis of complex information-processing tasks as having three levels — the levels of computational theory, representation and algorithm, and hardware implementation — is reconsidered. I argue that the notion of “level” here runs together two distinctive sort of explanatory shifts — that of grain and that of contextual function. I then offer a revision of the account which avoids this problem, and suggest how this might play a role in the practice of theory evaluation.
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  • 9
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    Minds and machines 7 (1997), S. 571-579 
    ISSN: 1572-8641
    Keywords: systematicity ; connectionism ; cognitive architecture ; explanation ; structure-sensitivity
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Philosophy
    Notes: Abstract In his discussion of results which I (with Michael Hayward) recently reported in this journal, Kenneth Aizawa takes issue with two of our conclusions, which are: (a) that our connectionist model provides a basis for explaining systematicity “within the realm of sentence comprehension, and subject to a limited range of syntax” (b) that the model does not employ structure-sensitive processing, and that this is clearly true in the early stages of the network's training. Ultimately, Aizawa rejects both (a) and (b) for reasons which I think are ill-founded. In what follows, I offer a defense of our position. In particular, I argue (1) that Aizawa adopts a standard of explanation that many accepted scientific explanations could not meet, and (2) that Aizawa misconstrues the relevant meaning of ‘structure-sensitive process’.
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  • 10
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    Minds and machines 4 (1994), S. 27-37 
    ISSN: 1572-8641
    Keywords: Epistemic authority ; explanation ; hierarchy ; homuncular functionalism ; intentionality ; levels ; measurement ; mechanistic explanation ; models ; reduction ; theories
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Philosophy
    Notes: Abstract I begin by tracing some of the confusions regarding levels and “reduction” to a failure to distinguish two different principles according to which theories can be viewed as hierarchically arranged — epistemic authority and ontological constitution. I then argue that the notion of levels relevant to the debate between symbolic and connectionist paradigms of mental activity answers to neither of these models, but is rather correlative to the hierarchy of functional decompositions of cognitive tasks characteristic of “homuncular functionalism”. Finally, I suggest that the incommensurability of the intentional and extensional vocabularies constitutes a strongprima facie reason to conclude that there is little likelihood of filling in the story of Bechtel's “missing level” in such a way as to bridge the gap between such “homuncular functionalism” and his own model of mechanistic explanation.
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  • 11
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    Minds and machines 8 (1998), S. 61-78 
    ISSN: 1572-8641
    Keywords: explanation ; disease ; medicine ; causality ; mechanism ; causal network
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Philosophy
    Notes: Abstract Why do people get sick? I argue that a disease explanation is best thought of as causal network instantiation, where a causal network describes the interrelations among multiple factors, and instantiation consists of observational or hypothetical assignment of factors to the patient whose disease is being explained. This paper first discusses inference from correlation to causation, integrating recent psychological discussions of causal reasoning with epidemiological approaches to understanding disease causation, particularly concerning ulcers and lung cancer. It then shows how causal mechanisms represented by causal networks can contribute to reasoning involving correlation and causation. The understanding of causation and causal mechanisms provides the basis for a presentation of the causal network instantiation model of medical explanation.
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  • 12
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    Biology and philosophy 15 (2000), S. 211-238 
    ISSN: 1572-8404
    Keywords: bottom-up pluralism ; competitive hierarchies ; contingency ; explanation ; generalization ; life-history ; many-to-one ; mating behavior ; multiple causation ; nested hierarchy ; one-to-many ; scale ; sex ; sex ratio ; triadic system ; truth
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract We argue that broad, simplegeneralizations, not specifically linked tocontingencies, will rarely approach truth in ecologyand evolutionary biology. This is because mostinteresting phenomena have multiple, interactingcauses. Instead of looking for single universaltheories to explain the great diversity of naturalsystems, we suggest that it would be profitable todevelop general explanatory ‘frameworks’. A frameworkshould clearly specify focal levels. The process orpattern that we wish to study defines our level offocus. The set of potential and actual states at thefocal level interacts with conditions at thecontiguous lower and upper levels of organization,through sets of many-to-one and one-to-manyconnections. The number of initiating conditions andtheir permutations at the lower level define thepotential states at the focal level, whereas theactual state is constrained by the upper-levelboundary conditions. The most useful generalizationsare explanatory frameworks, which are road maps tosolutions, rather than solutions themselves. Suchframeworks outline what is understood about boundaryconditions and initiating conditions so that aninvestigator can pick and choose what is required toeffectively understand a specific event or situation. We discuss these relationships in terms of examplesinvolving sex ratio and mating behavior, competitivehierarchies, insect life-histories and the evolutionof sex.
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  • 13
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    Biology and philosophy 15 (2000), S. 475-491 
    ISSN: 1572-8404
    Keywords: explanation ; evolutionary progress ; natural selection ; styles of reasoning
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract Natural selection explains how living forms are fitted to theirconditions of life. Darwin argued that selection also explains what hecalled “the gradual advancement of the organisation,” i.e.evolutionary progress. Present-day selectionists disagree. In theirview, it is happenstance that sustains conditions favorable to progress,and therefore happenstance, not selection, that explains progress. Iargue that the disagreement here turns not on whether there exists aselection-based condition bias – a belief now attributed to Darwin – but on whether there needs to be such a bias for selection to count as explaining progress. In Darwin's own view, selection explained progressso far as more complex organisms have the selective advantage whenselection operates unimpeded. I show that these two explanations ofevolutionary progress, selection and happenstance, answer for theirobjectivity to different standards, and for their truth or falsehood todifferent features of the world.
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  • 14
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    Biology and philosophy 3 (1988), S. 67-96 
    ISSN: 1572-8404
    Keywords: Models ; explanation ; group selection ; experiment ; laboratory science
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract We develop an account of laboratory models, which have been central to the group selection controversy. We compare arguments for group selection in nature with Darwin's arguments for natural selection to argue that laboratory models provide important grounds for causal claims about selection. Biologists get information about causes and cause-effect relationships in the laboratory because of the special role their own causal agency plays there. They can also get information about patterns of effects and antecedent conditions in nature. But to argue that some cause is actually responsible in nature, they require an inference from knowledge of causes in the laboratory context and of effects in the natural context. This process, cause detection, forms the core of an analogical argument for group selection. We discuss the differing roles of mathematical and laboratory models in constructing selective explanations at the group level and apply our discussion to the units of selection controversy to distinguish between the related problems of cause determination and evaluation of evidence. Because laboratory models are at the intersection of the two problems, their study is crucial for framing a coherent theory of explanation for evolutionary biology.
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    Biology and philosophy 3 (1988), S. 349-362 
    ISSN: 1572-8404
    Keywords: fitness ; propensity ; untestable ; explanation ; semantic view of theories
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract In a recent issue of Biology and Philosophy, Kenneth Waters argues that the principle of ”survival of the fittest” should be eliminated from the theory of natural selection, because it is an untestable law of probability, and as such, has no place in evolutionary theory. His argument is impressive, but it does not do justice to the practice of biology. The principle of “survival of the fittest” should not be eliminated from the theory of natural selection because it is important to biological practice: it plays an essential role in explanation and discovery, and in unffying the theory of natural selection.
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    Biology and philosophy 8 (1993), S. 319-347 
    ISSN: 1572-8404
    Keywords: Theory structure ; reduction ; integration ; neuroscience ; Aplysia ; parallel processing ; explanation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract This paper examines the nature of theory structure in biology and considers the implications of those theoretical structures for theory reduction. An account of biological “theories” as interlevel prototypes embodying causal sequences, and related to each other by strong analogies, is presented, and examples from the neurosciences are provided to illustrate these “middle-range” theories. I then go on to discuss several modifications of Nagel's classical model of theory reduction, and indicate at what stages in the development of reductions these models might best apply. Finally I consider several implications of these analyses of theory structure and reduction for disciplinary integration in biology.
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    Biology and philosophy 10 (1995), S. 39-54 
    ISSN: 1572-8404
    Keywords: Function ; fitness ; dispositions ; explanation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract In this paper I discuss recent debates concerning etiological theories of functions. I defend an etiological theory against two criticisms, namely the ability to account for malfunction, and the problem of structural “doubles”. I then consider the arguments provided by Bigelow and Pargetter (1987) for a more “forward looking” account of functions as propensities or dispositions. I argue that their approach fails to address the explanatory problematic for which etiological theories were developed.
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    Biology and philosophy 10 (1995), S. 129-180 
    ISSN: 1572-8404
    Keywords: Evolution ; explanation ; morality ; rationality ; normative communication ; fact/value distinction ; utilitarianism
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract Gibbard's theory of rationality is “evolutionary” in terms of its result as well as its underpinning argument. The result is that judgments about what is “rational” are analyzed as being similar to judgments of morality — in view of what Darwin suggests concerning the latter. According to the Darwinian theory, moral judgments are based on sentiments which evolve to promote the survival and welfare of human societies. On Gibbard's theory, rationality judgments should be similarly regarded as expressing emotional attachments to behavioral norms which originate and function to coordinate social interaction. Consequently, Gibbard's theory of rationality might be used to illuminate Darwin's theory of morality, and vice versa. Additionally, as argued in the present essay, both can be further elaborated, and defended, by developing related themes in philosophical ethics: viz., connected with Hume and 20th-century emotivists. The main problem is that this general Darwinian approach faces widespread opposition nowadays, not only in ethics but in philosophy of science. The purpose of this essay is to analyze Gibbard's theory, critically and constructively, with emphasis on the pertinent commonalities in Darwin, Hume and the emotivists, while also critically addressing their common enemies. The pervasive methodological orientation is to relate this analysis to (philosophy of) science in general, and biological science in particular.
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  • 19
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    Biology and philosophy 11 (1996), S. 89-116 
    ISSN: 1572-8404
    Keywords: Innateness ; explanation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract Although many of the issues surrounding innateness have received a good deal of attention lately, the basic concept of token innateness has been largely ignored. In the present paper, I try to correct this imbalance by offering an account of the innateness of token traits. I begin by explaining Stephen Stich's account of token innateness and offering a counterexample to that account. I then clarify why the contemporary biological approaches to innateness will not be able to resolve the problems that beset Stich's account. From there, I develop an alternative understanding of the innateness of token traits, what I call a ‘causal/explanatory’ account. The argument to be made is that token innateness is both a causal, and an explanatory, concept. After clarifying this understanding of innateness, and showing how it handles several counterexamples to other accounts, I end with some comments on what the causal/explanatory account suggests for our understanding of innateness in general.
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    Biology and philosophy 11 (1996), S. 193-214 
    ISSN: 1572-8404
    Keywords: Adaptationism ; avatars ; competition ; explanation ; evolution ; macroevolution ; optimality ; reductionism ; species selection ; species sorting
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract The ontological dependence of one domain on another is compatible with the explanatory autonomy of the less basic domain. That autonomy results from the fact that the relationship between two domains can be very complex. In this paper I distinguish two different types of complexity, two ways the relationship between domains can fail to be transparent, both of which are relevant to evolutionary biology. Sometimes high level explanations preserve a certain type of causal or counterfactual information which would be lost at the lower level; I argue that this is central to the proper understanding of the adaptationist program. Sometimes high level kinds are multiply realised by lower level kinds: I argue that this is central to the understanding of macroevolution.
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    Biology and philosophy 12 (1997), S. 445-470 
    ISSN: 1572-8404
    Keywords: molecular development biology ; physicalist antireductionism ; homeo boxes ; explanation ; causation ; ontology
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract This paper argues that the consensus physicalist antireductionism in the philosophy of biology cannot accommodate the research strategy or indeed the recent findings of molecular developmental biology. After describing Wolpert‘s programmatic claims on its behalf, and recent work by Gehring and others to identify the molecular determinants of development, the paper attempts to identify the relationship between evolutionary and developmental biology by reconciling two apparently conflicting accounts of bio-function – Wright‘s and Nagel‘s (as elaborated by Cummins). Finally, the paper seeks a way of defending the two central theses of physicalist antireductionism in the light of the research program of molecular developmental biology, by sharply reducing their metaphysical force.
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    Biology and philosophy 13 (1998), S. 5-36 
    ISSN: 1572-8404
    Keywords: causal ; contingent ; distribution ; essentialism ; explanation ; generalization ; kind ; law ; regularity ; ultimate and proximate explanation ; universal
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract Former discussions of biological generalizations have focused on the question of whether there are universal laws’ of biology. These discussions typically analyzed generalizations out of their investigative and explanatory contexts and concluded that whatever biological generalizations are, they are not universal laws. The aim of this paper is to explain what biological generalizations are by shifting attention towards the contexts in which they are drawn. I argue that within the context of any particular biological explanation or investigation, biologists employ two types of generations. One type identifies causal regularities exhibited by particular kinds of biological entities. The other type identifies how these entities are distributed in the biological world.
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    Biology and philosophy 14 (1999), S. 65-82 
    ISSN: 1572-8404
    Keywords: adaptation ; explanation ; evolution ; preadaptation ; specialization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract The concept of preadaptation, though useful, continues to trouble evolutionary scientists. Usually, it is treated as if it were really adaptation, prompting such diverse theorists as Gould and Vrba, and Dennett to suggest its removal from evolutionary theory altogether. In this paper, I argue that the as-if sense is ill-founded, and that the sense of preadaptation as a process may be defended as unequivocal and generally useful in evolutionary explanations, even in such problem areas as human evolution.
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    Biology and philosophy 14 (1999), S. 321-330 
    ISSN: 1572-8404
    Keywords: computability ; development ; explanation ; reductionism
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    Topics: Biology , Philosophy
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