Hajo Greif
For a short bio, description of research interests and a more comprehensive list of publications, plus some additional downloads, please go to https://hajo-greif.net/
Supervisors: Wolfgang Detel and Alfred Nordmann
Address: Warsaw University of Technology
Faculty of Administration and Social Science
Plac Politechniki 1
00-661 Warsaw
Poland
Supervisors: Wolfgang Detel and Alfred Nordmann
Address: Warsaw University of Technology
Faculty of Administration and Social Science
Plac Politechniki 1
00-661 Warsaw
Poland
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According to the taxonomy proposed here, one can distinguish between four distinct general approaches that figured prominently in early and classical AI, and that have partly developed into distinct research programmes: first, phenomenal simulations (e.g., Turing’s “imitation game”); second, simulations that explore general-level formal isomorphisms in pursuit of a general theory of intelligence (e.g., logic-based AI); third, simulations as exploratory material models that serve to develop theoretical accounts of cognitive processes (e.g., Marr’s stages of visual processing and classical connectionism); and fourth, simulations as strictly formal models of a theory of computation that postulates cognitive processes to be isomorphic with computational processes (strong symbolic AI).
In continuation of pragmaticist views of the modes of modelling and simulating world affairs (Humphreys, Winsberg), this taxonomy of approaches to modelling in AI helps to elucidate how available computational concepts and simulational resources contribute to the modes of representation and theory development in AI research – and what made that research programme uniquely dependent on them.
[Full text manuscript available here: http://philsci-archive.pitt.edu/17449/]
Edited Books
According to the taxonomy proposed here, one can distinguish between four distinct general approaches that figured prominently in early and classical AI, and that have partly developed into distinct research programmes: first, phenomenal simulations (e.g., Turing’s “imitation game”); second, simulations that explore general-level formal isomorphisms in pursuit of a general theory of intelligence (e.g., logic-based AI); third, simulations as exploratory material models that serve to develop theoretical accounts of cognitive processes (e.g., Marr’s stages of visual processing and classical connectionism); and fourth, simulations as strictly formal models of a theory of computation that postulates cognitive processes to be isomorphic with computational processes (strong symbolic AI).
In continuation of pragmaticist views of the modes of modelling and simulating world affairs (Humphreys, Winsberg), this taxonomy of approaches to modelling in AI helps to elucidate how available computational concepts and simulational resources contribute to the modes of representation and theory development in AI research – and what made that research programme uniquely dependent on them.
[Full text manuscript available here: http://philsci-archive.pitt.edu/17449/]