عنوان

Connectionism in context ; with 16 figures

(Number (ISBN

0387197168

(Number (ISBN

3540197168

(Number (ISBN

9780387197166

(Number (ISBN

9783540197164

Number

b565358

Title Proper

Connectionism in context ; with 16 figures

General Material Designation

[Book]

First Statement of Responsibility

Andy Clark; Rudi Lutz (Ed.)

Place of Publication, Distribution, etc.

London Springer-Verl

Date of Publication, Distribution, etc.

1992

Specific Material Designation and Extent of Item

x, 181 Seiten Diagramme

Series Title

Artificial intelligence and society.

Text of Note

Literaturangaben

Text of Note

1. Introduction.- Architecture and Properties l.- A Copernican Revolution.- Distributed Representations and Context Dependence.- The Nature of Thought.- 2. Action, Connectionism and Enaction: A Developmental Perspective.- Background.- Symbols, Connectionism and Innate Knowledge.- System Scale and the Control of Action.- Development, Emergence and Enaction.- Conclusion.- 3. Connectionism and Why Fodor and Pylyshyn Are Wrong.- The Case Against Connectionism.- Fodor and Pylyshyn's Four Conditions.- Systems that Satisfy these Conditions.- Fodor and Pylyshyn's Argument.- What's Wrong with this Argument.- What's Wrong with Premise (T3)?.- What's Wrong with Premise (T2)?.- What's Wrong with Premise (T1).- What's Wrong with this Defence?.- The Turing Machine Paradigm.- Minds as Semiotic Systems.- Cognitive Architecture.- On Behalf of Neural Networks.- Dispositions and Predispositions.- The Proper Comparison.- 4. Connectionism, Classical Cognitive Science and Experimental Psychology.- Classicism Versus Connectionism.- The Psychological Data.- Memory.- Inference.- Theory.- Memory.- Inference.- Modelling.- Memory.- Inference.- Conclusions.- 5. Connecting Object to Symbol in Modelling Cognition.- Symbol Systems.- The Symbolic Theory of Mind.- The Symbol Grounding Problem.- Neural Nets.- Transducers and Analogue Transformations.- Robotic Capacities: Discrimination and Identification.- Philosophical Objections to Bottom-Up Grounding of Concrete and Abstract Categories.- Categorical Perception and Category-Learning.- Neural Net and CP.- Analogue Constraints on Symbols.- 6 Active Symbols and Internal Models: Towards a Cognitive Connectionism.- Criticisms of Connectionism.- Connectionism Equals Behaviourism.- Are FFPA Models Behaviourist?.- Connectionism Equals Associationism.- The Active Symbol.- Active Symbols and Control Mechanisms.- Symbol Formation and Properties.- Higher-Level Processes.- First-Order Knowledge Structures.- Second-Order Knowledge Structures.- Toward Structure-Sensitive Operations.- Summary and Concluding Remarks.- The Continuum of Cognitive Models.- Logic, Difficulty and Adaptation.- 7. Thinking Persons and Cognitive Science.- Extending Content.- The Credentials of Cognition.- Consciousness and What It Is Like.- Conceptualized Content and the Structure of Thinking.- Inference and Causal Systernaticity.- Reconstructing the Mind.- 8. A Brief History of Connectionism and Its Psychological Implications.- Connectionist Assumptions in Earlier Psychologies.- Spencer's Principles of Psychology (1855/1899).- William James' Principles of Psychology.- Thorndike's Connectionism.- Pavlov's Theory of the Cerebral Cortex.- Watsonian and Skinnerian Behaviourism.- Hullian Stimulus-Response Theory.- Comparisons of Old and New Connectionism.- Neural Plausibility.- Thought and the Thinking Self.- Empiricism.- Practical Implications of Connectionism.- Conclusions.- 9. Connectionism and Artificial Intelligence as Cognitive Models.- Artificial Intelligence.- Level of Explanation.- Processing Style.- Representational Structure.- Connectionism.- Classification of Neural Networks.- Level of Explanation.- Processing Style.- Representational Structure.- Classical AI and Connectionism.- Segregation.- Compilation.- Hybridization.- Subsumption.- 10. The Neural Dynamics of Conversational Coherence.- Previous Research.- Conversation Analysis: Sequencing Rules Approach.- Speech Acts.- Computational Models.- A Neurally Inspired Model of Coherence.- Some Experimental Results.- How Associative Is Conversation?.- Final on the Purpose of Conversation.

Artificial intelligence

Cognition

Connectionism

Andy Clark; Rudi Lutz (Ed.)

Andy Clark

Rudi Lutz

Electronic name

[Book]

Y