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  • Articles  (6)
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  • 2015-2019
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Minds and machines 3 (1993), S. 97-104 
    ISSN: 1572-8641
    Keywords: Asymmetric causal dependency ; Block ; Fodor ; content ; meaning ; pathologies ; semantics
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Philosophy
    Notes: Abstract In two recent books, Jerry Fodor has developed a set of sufficient conditions for an object “X” to non-naturally and non-derivatively mean X. In an earlier paper we presented three reasons for thinking Fodor's theory to be inadequate. One of these problems we have dubbed the “Pathologies Problem”. In response to queries concerning the relationship between the Pathologies Problem and what Fodor calls “Block's Problem”, we argue that, while Block's Problem does not threatenFodor's view, the Pathologies Problem does.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Minds and machines 2 (1992), S. 145-174 
    ISSN: 1572-8641
    Keywords: AI, pragmatics ; ontopragmatics ; sociopragmatics ; psychopragmatics ; Turing Test ; interpretation ; reasoning ; humor ; meaning ; context ; dream ; mind ; language
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Philosophy
    Notes: Abstract Artificial intelligence, conceived either as an attempt to provide models of human cognition or as the development of programs able to perform ‘intelligent’ tasks, is primarily interested in theuses of language. It should be concerned, therefore, withpragmatics. But its concern with pragmatics should not be restricted to the narrow, traditional conception of pragmatics as the theory of communication (or of the social uses of language). In addition to that, AI should take into account also the ‘mental’ uses of language (in reasoning, for example) and the ‘existential’ dimensions of language as a determiner of the world we (and our computers) live in. In this paper, the relevance of these three branches of pragmatics-sociopragmatics, psychopragmatics, and ontopragmatics-for AI are explored.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    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.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Minds and machines 1 (1991), S. 55-73 
    ISSN: 1572-8641
    Keywords: Belief ; syntax ; propositions ; meaning ; information ; tractability ; degrees of confidence ; dispositions
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Philosophy
    Notes: Abstract Within AI and the cognitively related disciplines, there exist a multiplicity of uses of ‘belief’. On the face of it, these differing uses reflect differing views about the nature of an objective phenomenon called ‘belief’. In this paper I distinguish six distinct ways in which ‘belief’ is used in AI. I shall argue that not all these uses reflect a difference of opinion about an objective feature of reality. Rather, in some cases, the differing uses reflect differing concerns with special AI applications. In other cases, however, genuine differences exist about the nature of what we pre-theoretically call belief. To an extent the multiplicity of opinions about, and uses of ‘belief’, echoes the discrepant motivations of AI researchers. The relevance of this discussion for cognitive scientists and philosophers arises from the fact that (a) many regard theoretical research within AI as a branch of cognitive science, and (b) even if theoretical AI is not cognitive science, trends within AI influence theories developed within cognitive science. It should be beneficial, therefore, to unravel the distinct uses and motivations surrounding ‘belief’, in order to discover which usages merely reflect differing pragmatic concerns, and which usages genuinely reflect divergent views about reality.
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Biology and philosophy 6 (1991), S. 401-412 
    ISSN: 1572-8404
    Keywords: Ants ; behavior ; culture ; Holism ; human ; meaning ; reduction ; sociobiology ; symbol
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract Most research in the natural sciences passes through repeated cycles of a analytic reduction to the next lower level of organization, then resynthesis to the original level, then new analyticareduction, and so on. A residue of unexplained phenomena at the original level appears at first to require a “holistic” description independent of the lower level, but the residue shrinks as knowledge increases. This principle is well illustrated by recent studies from the social organization of insects, several examples of which are cited here. In theory it should also apply to human social organization. Culture is biological: meaning in culture can be approached as the outcome of mechanism-based causation, because culture stems from individual cognition, which has a biological basis. It would seem to follow that the most effective way to study culture is across all levels of organization from gene to society, passing repetitively through a cycle of reduction and synthesis in the manner of the natural sciences. Reductionistic analysis is favored by the tendency of semantic memory and culture to occur in discrete units that are arranged hierarchically.
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Journal for general philosophy of science 21 (1990), S. 347-358 
    ISSN: 1572-8587
    Keywords: artificial intelligence ; understanding ; representation ; meaning ; intentionality ; teleology ; subjectivity ; semiotics ; philosophical anthropology
    Source: Springer Online Journal Archives 1860-2000
    Topics: Philosophy , Nature of Science, Research, Systems of Higher Education, Museum Science
    Notes: Summary Artificial Intelligence can be considered as the so far last attempt to decode the anthropological comparison between human beings and machines. Thereby it also represents in a prominent way what can be called “systemic thought”. Searle's conclusive argument against strong AI (that is the idea of computers having intention in a literal way) refers to his precise distinction between syntax and semantics. This difference obviously opposing some of Searle's other essential ideas will only convince if it also explains the genetic-pragmatic aspect. A theory explaining the “life of mind” and the possibility of understanding needs to combine representation and intention with the subjective causation of signs. At the same time they have to be contextualized within a model of teleologically interpreted life recognized with the help of self-experience and self-reflection. This suggests that AI is a simulation which wrongly believes to be a real duplication. Actually it is a semiotic reduction (syntax and semantic surface of signs only) and a psychological compensation (Turing test) connected with a genetic or abductive fallacy. The biological decontextualization, in fact the elimination of teleology and intention, the deconstruction of subjectivity, the loss of the genetic-pragmatic dimension and the abductive fallacy induce the strong AI to confuse its surface-illusion of simulated understanding with the real process itself.
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