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 /
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 All of the articles cover unpublished research work.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 b...
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| Format: | Elektronisch Tagungsbericht E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hackensack, N.J. :
World Scientific,
©2008.
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| Schriftenreihe: | Progress in neural processing ;
17. |
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| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 All of the articles cover unpublished research work.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. |
| Beschreibung: | 1 online resource (ix, 225 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9789812797322 9812797327 1281948136 9781281948137 9786611948139 6611948139 |
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| 245 | 1 | 0 | |a From associations to rules : |b connectionist models of behavior and cognition : proceedings of the tenth Neural Computation and Psychology Workshop, Dijon, France, 12-14 April 2007 / |c editors, Robert M. French, Elizabeth Thomas. |
| 260 | |a Hackensack, N.J. : |b World Scientific, |c ©2008. | ||
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| 504 | |a Includes bibliographical references and index. | ||
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| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 520 | |a 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. | ||
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| 650 | 6 | |a Connexionnisme |v Congrès. | |
| 650 | 6 | |a Cognition |v Congrès. | |
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| 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. |
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| indexdate | 2024-11-27T13:16:42Z |
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| series | Progress in neural processing ; |
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| spelling | Neural Computation and Psychology Workshop (10th : 2007 : Dijon, France) 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. Hackensack, N.J. : World Scientific, ©2008. 1 online resource (ix, 225 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier polychrome. rdacc http://rdaregistry.info/termList/RDAColourContent/1003 data file Progress in neural processing ; 17 Includes bibliographical references and index. Print version record. 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. 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. English. Connectionism Congresses. Cognition Congresses. Psychology, Experimental Congresses. Behavioral assessment Congresses. Connexionnisme Congrès. Cognition Congrès. Psychologie expérimentale Congrès. Analyse comportementale Congrès. SCIENCE Cognitive Science. bisacsh PSYCHOLOGY Cognitive Psychology. bisacsh Behavioral assessment fast Cognition fast Connectionism fast Psychology, Experimental fast proceedings (reports) aat Conference papers and proceedings fast Conference papers and proceedings. lcgft http://id.loc.gov/authorities/genreForms/gf2014026068 Actes de congrès. rvmgf French, Robert M. (Robert Matthew), 1951- https://id.oclc.org/worldcat/entity/E39PBJB48kyCy649Yxb3vMCRKd http://id.loc.gov/authorities/names/n95033790 Thomas, Elizabeth. has work: From associations to rules (Text) https://id.oclc.org/worldcat/entity/E39PCGhYBF4bXtddVr7v4J447b https://id.oclc.org/worldcat/ontology/hasWork Print version: 9812797319 9789812797315 (DLC) 2008299314 (OCoLC)233592015 Progress in neural processing ; 17. http://id.loc.gov/authorities/names/no95053043 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=236066 Volltext |
| spellingShingle | 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 / Progress in neural processing ; 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. Connectionism Congresses. Cognition Congresses. Psychology, Experimental Congresses. Behavioral assessment Congresses. Connexionnisme Congrès. Cognition Congrès. Psychologie expérimentale Congrès. Analyse comportementale Congrès. SCIENCE Cognitive Science. bisacsh PSYCHOLOGY Cognitive Psychology. bisacsh Behavioral assessment fast Cognition fast Connectionism fast Psychology, Experimental fast |
| subject_GND | http://id.loc.gov/authorities/genreForms/gf2014026068 |
| title | 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 / |
| title_auth | 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 / |
| title_exact_search | 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 / |
| title_full | 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. |
| title_fullStr | 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. |
| title_full_unstemmed | 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. |
| title_short | From associations to rules : |
| title_sort | 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 |
| title_sub | connectionist models of behavior and cognition : proceedings of the tenth Neural Computation and Psychology Workshop, Dijon, France, 12-14 April 2007 / |
| topic | Connectionism Congresses. Cognition Congresses. Psychology, Experimental Congresses. Behavioral assessment Congresses. Connexionnisme Congrès. Cognition Congrès. Psychologie expérimentale Congrès. Analyse comportementale Congrès. SCIENCE Cognitive Science. bisacsh PSYCHOLOGY Cognitive Psychology. bisacsh Behavioral assessment fast Cognition fast Connectionism fast Psychology, Experimental fast |
| topic_facet | Connectionism Congresses. Cognition Congresses. Psychology, Experimental Congresses. Behavioral assessment Congresses. Connexionnisme Congrès. Cognition Congrès. Psychologie expérimentale Congrès. Analyse comportementale Congrès. SCIENCE Cognitive Science. PSYCHOLOGY Cognitive Psychology. Behavioral assessment Cognition Connectionism Psychology, Experimental proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. |
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