Cognitive Design for Artificial Minds
Cognitive Design for Artificial Minds
Taylor & Francis Ltd
04/2021
120
Mole
Inglês
9781138207950
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1 Cognitive science and artificial intelligence: death and rebirth of a collaboration When Cognitive Science was AI From the general problem-solver to the society of mind: cognitivist insights from the early AI era Heuristics and AI eras Modelling paradigms and AI eras: cognitivist and emergentist perspectives Death and rebirth of a collaboration 2 Cognitive and machine-oriented approaches to intelligence in artificial systems Nature- vs. machine-inspired approaches to artificial systems Functionalist vs. structuralist design approaches Levels of analysis of computational systems The space of cognitive systems Functional and structural neural systems Functional and structural symbolic systems 3 Principles of the cognitive design approach Classical, bounded, and bounded-rational models of cognition Resource-rationality models Kinds of explanations Levels of plausibility and the minimal cognitive grid (MCG) 4 Examples of cognitively inspired systems and application of the Minimal Cognitive Grid Modern AI systems: cognitive computing? Cognitive architectures SOAR ACT-R Two problems for the knowledge level in cognitive architectures Knowledge size and knowledge heterogeneity in SOAR and ACT-R DUAL PECCS 5 Evaluating the performances of artificial systems "Thinking" machines and Turing Test(s) The Chinese Room The Newell test for a theory of cognition The Winograd Schema Challenge DARPA challenges, RoboCup, and RoboCup@Home Comparison 6 The next steps The road travelled The way forward Towards a standard model of mind/common model of cognition Community
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1 Cognitive science and artificial intelligence: death and rebirth of a collaboration When Cognitive Science was AI From the general problem-solver to the society of mind: cognitivist insights from the early AI era Heuristics and AI eras Modelling paradigms and AI eras: cognitivist and emergentist perspectives Death and rebirth of a collaboration 2 Cognitive and machine-oriented approaches to intelligence in artificial systems Nature- vs. machine-inspired approaches to artificial systems Functionalist vs. structuralist design approaches Levels of analysis of computational systems The space of cognitive systems Functional and structural neural systems Functional and structural symbolic systems 3 Principles of the cognitive design approach Classical, bounded, and bounded-rational models of cognition Resource-rationality models Kinds of explanations Levels of plausibility and the minimal cognitive grid (MCG) 4 Examples of cognitively inspired systems and application of the Minimal Cognitive Grid Modern AI systems: cognitive computing? Cognitive architectures SOAR ACT-R Two problems for the knowledge level in cognitive architectures Knowledge size and knowledge heterogeneity in SOAR and ACT-R DUAL PECCS 5 Evaluating the performances of artificial systems "Thinking" machines and Turing Test(s) The Chinese Room The Newell test for a theory of cognition The Winograd Schema Challenge DARPA challenges, RoboCup, and RoboCup@Home Comparison 6 The next steps The road travelled The way forward Towards a standard model of mind/common model of cognition Community
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.