From associations to rules : connectionist models of behavior and cognition : proceedings of the tenth Neural Computation and Psychology Workshop, Dijon, France, 12-14 April 2007 / editors, Robert M. French, Elizabeth Thomas.

Format:

• Book
• Conference/Event

Contributor:

• French, Robert M. (Robert Matthew), 1951-
• Thomas, Elizabeth.

Conference Name:

• Neural Computation and Psychology Workshop (10th : 2007 : Dijon, France)
• Neural Computation and Psychology Workshop

Series:

• Progress in neural processing ; 17.
• Progress in neural processing ; 17

Language:

English

Subjects (All):

• Connectionism--Congresses.
• Cognition--Congresses.
• Psychology, Experimental--Congresses.
• Behavioral assessment--Congresses.

Physical Description:

1 online resource (236 p.)

Edition:

1st ed.

Place of Publication:

Hackensack, N.J. : World Scientific, c2008.

Language Note:

English

Summary:

This book introduces a host of connectionist models of cognition and behavior. The major areas covered are high-level cognition, language, categorization and visual perception, and sensory and attentional processing. All of the articles cover unpublished research work. The key contribution of this book is that it focuses exclusively on the advances in connectionist modeling in psychology. The papers are relatively short, and were explicitly written to be accessible to both connectionist modelers and experimental psychologists. Sample Chapter(s). Introduction (96 KB). Chapter 1: A Connectionist

Contents:

• Introduction; CONTENTS; Section I High-Level Cognition; A Connectionist Approach to Modelling the Flexible Control of Routine Activities Nicolas Ruh, Richard P. Cooper and Denis Mareschal; 1. Introduction; 2. Existing Models of Sequential Control; 3. The Goal Circuit Model; 3.1. Goal Units and Simulated Reinforcement Learning; 3.2. Progressive Routinisation; 3.3. Network Architecture and Parameters; 4. Results; 4.1. The Coffee or Tea Routine; 4.2. Redundancy and Goal Directed Behaviour; 4.3. Deliberate Control; 5. Discussion; References
• Associative and Connectionist Accounts of Biased Contingency Detection in Humans Serban C. Musca, Miguel A. Vadillo, Fernando Blanco and Helena Matute1. Introduction; 1.1. Studies of Contingency Judgment; 1.2. Illusory Correlation; 2. Outcome-density Effect; 2.1. An Associative Account: The Rescorla-Wagner Model; 2.2. Connectionist Simulations: What is the Minimal Model?; 2.2.1. Translating the Problem into "Neural Networks Language"; 2.2.2. Three-layer Hetero-associative Network; 2.2.3. Three-layer Auto-hetero-associative Network; 3. Conclusion; References
• On the Origin of False Memories: At Encoding or at Retrieval? - A Contextual Retrieval Analysis Eddy J. Davelaar1. Introduction; 2. The Deese/Roediger-McDermott paradigm; 2.1. Theoretical accounts of false memories; 2.2. DRM findings related to encoding/retrieval; 3. Contextual retrieval; 3.1. Context models; 3.2. Contextual retrieval analysis; 4. Experiments; 4.1. Experimental method; 4.2. Results; 4.3. Interpretation; 4.4. Methodological considerations; 5. Discussion; Acknowledgments; References; Another Reason Why We Should Look After Our Children John A. Bullinaria; 1. Introduction
• 2. Evolving Neural Network Systems3. Simulation Results for Different Protection Periods; 4. Allowing the Protection Period to Evolve; 5. Analysis of the Evolved Performance; 6. Discussion and Conclusions; References; Section II Language; A Multimodal Model of Early Child Language Acquisition Abel Nyamapfene; 1. Introduction; 2. Overview of Child Language at the One-Word and Two-Word Stages; 3. Simulating One-Word Child Language; 3.1. The Modified Counterpropagation Network; 3.2. One-Word Stage Model Simulation; 4. Simulating the Transition form One-Word to Two Word Language
• 4.1. Temporal Hypermap Model for Two-word Simulation4.2. A Gated Multi-net Architecture for One-Word to Two-Word Transition -; 4.3. Gated Multinet Model Simulation; 5. Conclusion and Future work; References; Constraints on Generalisation in a Self-Organising Model of Early Word Learning Julien Mayor and Kim Plunkett; 1. Introduction; 2. Method; 2.1. Training the Unimodal Maps; 2.2. Coding the inputs; 2.2.1. Image generation; 2.2.2. On the importance of real acoustic token; 2.3. Forming the cross-modal associations; 3. Results; 3.1. Generalisation as a function of number of pairings
• 3.2. Generalisation as a function of pre-pairing experience

Notes:

• Description based upon print version of record.
• Includes bibliographical references and index.

ISBN:

• 9786611948139
• 9781281948137
• 1281948136
• 9789812797322
• 9812797327

OCLC:

886107406