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The architecture of cognition : rethinking Fodor and Pylyshyn's systematicity challenge / / edited by Paco Calvo and John Symons
| The architecture of cognition : rethinking Fodor and Pylyshyn's systematicity challenge / / edited by Paco Calvo and John Symons |
| Pubbl/distr/stampa | Cambridge, MA : , : MIT Press, , [2014] |
| Descrizione fisica | 1 online resource (483 p.) |
| Disciplina | 153 |
| Soggetto topico |
Cognition
Human information processing Connectionism |
| Soggetto non controllato |
PHILOSOPHY/Philosophy of Mind/General
COGNITIVE SCIENCES/General |
| ISBN | 0-262-02723-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910790926903321 |
| Cambridge, MA : , : MIT Press, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The architecture of cognition : rethinking Fodor and Pylyshyn's systematicity challenge / / edited by Paco Calvo and John Symons
| The architecture of cognition : rethinking Fodor and Pylyshyn's systematicity challenge / / edited by Paco Calvo and John Symons |
| Pubbl/distr/stampa | Cambridge, MA : , : MIT Press, , [2014] |
| Descrizione fisica | 1 online resource (483 p.) |
| Disciplina | 153 |
| Soggetto topico |
Cognition
Human information processing Connectionism |
| Soggetto non controllato |
PHILOSOPHY/Philosophy of Mind/General
COGNITIVE SCIENCES/General |
| ISBN | 0-262-02723-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910808415803321 |
| Cambridge, MA : , : MIT Press, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Connection science
| Connection science |
| Pubbl/distr/stampa | [Abingdon, Oxfordshire], : Carfax International Publishers |
| Descrizione fisica | 1 online resource |
| Disciplina | 006.3 |
| Soggetto topico |
Neural computers
Artificial intelligence Cognitive science Connectionism Cognition Computer systems Artificial Intelligence Computer Systems Models, Neurological Ordinateurs neuronaux Intelligence artificielle Sciences cognitives Connexionnisme Neurale netwerken Kunstmatige intelligentie Cognitiewetenschap |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1360-0494 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996213104103316 |
| [Abingdon, Oxfordshire], : Carfax International Publishers | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Connection science
| Connection science |
| Pubbl/distr/stampa | [Abingdon, Oxfordshire], : Carfax International Publishers |
| Descrizione fisica | 1 online resource |
| Disciplina | 006.3 |
| Soggetto topico |
Neural computers
Artificial intelligence Cognitive science Connectionism Cognition Computer systems Artificial Intelligence Computer Systems Models, Neurological Ordinateurs neuronaux Intelligence artificielle Sciences cognitives Connexionnisme Neurale netwerken Kunstmatige intelligentie Cognitiewetenschap artificial intelligence cognition |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1360-0494 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910137799403321 |
| [Abingdon, Oxfordshire], : Carfax International Publishers | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Connectionism [[electronic resource] ] : A Hands-on Approach
| Connectionism [[electronic resource] ] : A Hands-on Approach |
| Autore | Dawson Michael R. W |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2008 |
| Descrizione fisica | 1 online resource (210 p.) |
| Disciplina | 153 |
| Soggetto topico |
Connectionism
Social Sciences Psychology |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-4051-4387-8
1-280-19855-9 9786610198559 0-470-69407-6 1-4051-4389-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONNECTIONISM; Contents; Chapter 1:Hands-On Connectionism; 1.1 Connectionism in Principle and in Practice; 1.2 The Organization of This Book; Chapter 2:The Distributed Associative Memory; 2.1 The Paired Associate Task; 2.2 The Standard Pattern Associator; 2.3 Exploring the Distributed Associative Memory; Chapter 3:The James Program; 3.1 Introduction; 3.2 Installing the Program; 3.3 Teaching a Distributed Memory; 3.4 Testing What the Memory Has Learned; 3.5 Using the Program; Chapter 4:Introducing Hebb Learning; 4.1 Overview of the Exercises; 4.2 Hebb Learning of Basis Vectors
4.3 Hebb Learning of Orthonormal,Non-Basis VectorsAppendix - Creating mutually orthogonal vectors with Maple; Chapter 5:Limitations of Hebb Learning; 5.1 Introduction; 5.2 The Effect of Repetition; 5.3 The Effect of Correlation; Appendix - Creating the linearly independent set of vectors; Chapter 6:Introducing the Delta Rule; 6.1 Introduction; 6.2 The Delta Rule; 6.3 The Delta Rule and the Effect of Repetition; 6.4 The Delta Rule and the Effect of Correlation; Chapter 7:Distributed Networks and Human Memory; 7.1 Background on the Paired Associate Paradigm 7.2 The Effect of Similarity on the Distributed Associative MemoryChapter 8:Limitations of Delta Rule Learning; 8.1 Introduction; 8.2 The Delta Rule and Linear Dependency; Chapter 9:The Perceptron; 9.1 Introduction; 9.2 The Limits of Distributed Associative Memories,and Beyond; 9.3 Properties of the Perceptron; 9.4 What Comes Next; Chapter 10:The Rosenblatt Program; 10.1 Introduction; 10.2 Installing the Program; 10.3 Training a Perceptron; 10.4 Testing What the Memory Has Learned; Chapter 11:Perceptrons and Logic Gates; 11.1 Introduction; 11.2 Boolean Algebra 11.3 Perceptrons and Two-Valued AlgebraChapter 12:Performing More Logic With Perceptrons; 12.1 Two-Valued Algebra and Pattern Spaces; 12.2 Perceptrons and Linear Separability; Appendix - The DawsonJots Font; Chapter 13:Value Units and Linear Nonseparability; 13.1 Linear Separability and Its Implications; 13.2 Value Units and the Exclusive-Or Relation; 13.3 Value Units and Connectedness; Chapter 14:Network By Problem Type Interactions; 14.1 All Networks Were Not Created Equally; 14.2 Value Units and the Two-Valued Algebra; Chapter 15:Perceptrons and Generalization; 15.1 Background 15.2 Generalization and Savings for the 9-Majority ProblemChapter 16:Animal Learning Theory and Perceptrons; 16.1 Discrimination Learning; 16.2 Linearly Separable Versions of Patterning; Chapter 17:The Multilayer Perceptron; 17.1 Creating Sequences of Logical Operations; 17.2 Multilayer Perceptrons and the Credit Assignment Problem; 17.3 The Implications of the Generalized Delta Rule; Chapter 18:The Rumelhart Program; 18.1 Introduction; 18.2 Installing the Program; 18.3 Training a Multilayer Perceptron; 18.4 Testing What the Network Has Learned; Chapter 19:Beyond the Perceptron 's Limits 19.1 Introduction |
| Record Nr. | UNINA-9910145579003321 |
Dawson Michael R. W
|
||
| Hoboken, : Wiley, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Connectionism [[electronic resource] ] : A Hands-on Approach
| Connectionism [[electronic resource] ] : A Hands-on Approach |
| Autore | Dawson Michael R. W |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2008 |
| Descrizione fisica | 1 online resource (210 p.) |
| Disciplina | 153 |
| Soggetto topico |
Connectionism
Social Sciences Psychology |
| ISBN |
1-4051-4387-8
1-280-19855-9 9786610198559 0-470-69407-6 1-4051-4389-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONNECTIONISM; Contents; Chapter 1:Hands-On Connectionism; 1.1 Connectionism in Principle and in Practice; 1.2 The Organization of This Book; Chapter 2:The Distributed Associative Memory; 2.1 The Paired Associate Task; 2.2 The Standard Pattern Associator; 2.3 Exploring the Distributed Associative Memory; Chapter 3:The James Program; 3.1 Introduction; 3.2 Installing the Program; 3.3 Teaching a Distributed Memory; 3.4 Testing What the Memory Has Learned; 3.5 Using the Program; Chapter 4:Introducing Hebb Learning; 4.1 Overview of the Exercises; 4.2 Hebb Learning of Basis Vectors
4.3 Hebb Learning of Orthonormal,Non-Basis VectorsAppendix - Creating mutually orthogonal vectors with Maple; Chapter 5:Limitations of Hebb Learning; 5.1 Introduction; 5.2 The Effect of Repetition; 5.3 The Effect of Correlation; Appendix - Creating the linearly independent set of vectors; Chapter 6:Introducing the Delta Rule; 6.1 Introduction; 6.2 The Delta Rule; 6.3 The Delta Rule and the Effect of Repetition; 6.4 The Delta Rule and the Effect of Correlation; Chapter 7:Distributed Networks and Human Memory; 7.1 Background on the Paired Associate Paradigm 7.2 The Effect of Similarity on the Distributed Associative MemoryChapter 8:Limitations of Delta Rule Learning; 8.1 Introduction; 8.2 The Delta Rule and Linear Dependency; Chapter 9:The Perceptron; 9.1 Introduction; 9.2 The Limits of Distributed Associative Memories,and Beyond; 9.3 Properties of the Perceptron; 9.4 What Comes Next; Chapter 10:The Rosenblatt Program; 10.1 Introduction; 10.2 Installing the Program; 10.3 Training a Perceptron; 10.4 Testing What the Memory Has Learned; Chapter 11:Perceptrons and Logic Gates; 11.1 Introduction; 11.2 Boolean Algebra 11.3 Perceptrons and Two-Valued AlgebraChapter 12:Performing More Logic With Perceptrons; 12.1 Two-Valued Algebra and Pattern Spaces; 12.2 Perceptrons and Linear Separability; Appendix - The DawsonJots Font; Chapter 13:Value Units and Linear Nonseparability; 13.1 Linear Separability and Its Implications; 13.2 Value Units and the Exclusive-Or Relation; 13.3 Value Units and Connectedness; Chapter 14:Network By Problem Type Interactions; 14.1 All Networks Were Not Created Equally; 14.2 Value Units and the Two-Valued Algebra; Chapter 15:Perceptrons and Generalization; 15.1 Background 15.2 Generalization and Savings for the 9-Majority ProblemChapter 16:Animal Learning Theory and Perceptrons; 16.1 Discrimination Learning; 16.2 Linearly Separable Versions of Patterning; Chapter 17:The Multilayer Perceptron; 17.1 Creating Sequences of Logical Operations; 17.2 Multilayer Perceptrons and the Credit Assignment Problem; 17.3 The Implications of the Generalized Delta Rule; Chapter 18:The Rumelhart Program; 18.1 Introduction; 18.2 Installing the Program; 18.3 Training a Multilayer Perceptron; 18.4 Testing What the Network Has Learned; Chapter 19:Beyond the Perceptron 's Limits 19.1 Introduction |
| Record Nr. | UNINA-9910830778203321 |
|
Dawson Michael R. W
|
||
| Hoboken, : Wiley, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Connectionism : a hands-on approach / / Michael R.W. Dawson
| Connectionism : a hands-on approach / / Michael R.W. Dawson |
| Autore | Dawson Michael Robert William <1959-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Oxford, UK ; ; Malden, MA, : Blackwell Pub., 2005 |
| Descrizione fisica | 1 online resource (210 p.) |
| Disciplina | 153 |
| Soggetto topico | Connectionism |
| ISBN |
1-4051-4387-8
1-280-19855-9 9786610198559 0-470-69407-6 1-4051-4389-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONNECTIONISM; Contents; Chapter 1:Hands-On Connectionism; 1.1 Connectionism in Principle and in Practice; 1.2 The Organization of This Book; Chapter 2:The Distributed Associative Memory; 2.1 The Paired Associate Task; 2.2 The Standard Pattern Associator; 2.3 Exploring the Distributed Associative Memory; Chapter 3:The James Program; 3.1 Introduction; 3.2 Installing the Program; 3.3 Teaching a Distributed Memory; 3.4 Testing What the Memory Has Learned; 3.5 Using the Program; Chapter 4:Introducing Hebb Learning; 4.1 Overview of the Exercises; 4.2 Hebb Learning of Basis Vectors
4.3 Hebb Learning of Orthonormal,Non-Basis VectorsAppendix - Creating mutually orthogonal vectors with Maple; Chapter 5:Limitations of Hebb Learning; 5.1 Introduction; 5.2 The Effect of Repetition; 5.3 The Effect of Correlation; Appendix - Creating the linearly independent set of vectors; Chapter 6:Introducing the Delta Rule; 6.1 Introduction; 6.2 The Delta Rule; 6.3 The Delta Rule and the Effect of Repetition; 6.4 The Delta Rule and the Effect of Correlation; Chapter 7:Distributed Networks and Human Memory; 7.1 Background on the Paired Associate Paradigm 7.2 The Effect of Similarity on the Distributed Associative MemoryChapter 8:Limitations of Delta Rule Learning; 8.1 Introduction; 8.2 The Delta Rule and Linear Dependency; Chapter 9:The Perceptron; 9.1 Introduction; 9.2 The Limits of Distributed Associative Memories,and Beyond; 9.3 Properties of the Perceptron; 9.4 What Comes Next; Chapter 10:The Rosenblatt Program; 10.1 Introduction; 10.2 Installing the Program; 10.3 Training a Perceptron; 10.4 Testing What the Memory Has Learned; Chapter 11:Perceptrons and Logic Gates; 11.1 Introduction; 11.2 Boolean Algebra 11.3 Perceptrons and Two-Valued AlgebraChapter 12:Performing More Logic With Perceptrons; 12.1 Two-Valued Algebra and Pattern Spaces; 12.2 Perceptrons and Linear Separability; Appendix - The DawsonJots Font; Chapter 13:Value Units and Linear Nonseparability; 13.1 Linear Separability and Its Implications; 13.2 Value Units and the Exclusive-Or Relation; 13.3 Value Units and Connectedness; Chapter 14:Network By Problem Type Interactions; 14.1 All Networks Were Not Created Equally; 14.2 Value Units and the Two-Valued Algebra; Chapter 15:Perceptrons and Generalization; 15.1 Background 15.2 Generalization and Savings for the 9-Majority ProblemChapter 16:Animal Learning Theory and Perceptrons; 16.1 Discrimination Learning; 16.2 Linearly Separable Versions of Patterning; Chapter 17:The Multilayer Perceptron; 17.1 Creating Sequences of Logical Operations; 17.2 Multilayer Perceptrons and the Credit Assignment Problem; 17.3 The Implications of the Generalized Delta Rule; Chapter 18:The Rumelhart Program; 18.1 Introduction; 18.2 Installing the Program; 18.3 Training a Multilayer Perceptron; 18.4 Testing What the Network Has Learned; Chapter 19:Beyond the Perceptron 's Limits 19.1 Introduction |
| Record Nr. | UNINA-9910877572503321 |
|
Dawson Michael Robert William <1959->
|
||
| Oxford, UK ; ; Malden, MA, : Blackwell Pub., 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Connectionism [[electronic resource] ] : theory and practice / / edited by Steven Davis
| Connectionism [[electronic resource] ] : theory and practice / / edited by Steven Davis |
| Pubbl/distr/stampa | New York, : Oxford University Press, 1992 |
| Descrizione fisica | 322 p. : ill |
| Disciplina | 153 |
| Altri autori (Persone) | DavisSteven <1937-> |
| Collana | Vancouver studies in cognitive science |
| Soggetto topico |
Connectionism
Cognition |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-44253-0
0-19-536035-4 1-4237-6479-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910450618703321 |
| New York, : Oxford University Press, 1992 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Connectionism [[electronic resource] ] : theory and practice / / edited by Steven Davis
| Connectionism [[electronic resource] ] : theory and practice / / edited by Steven Davis |
| Pubbl/distr/stampa | New York, : Oxford University Press, 1992 |
| Descrizione fisica | 322 p. : ill |
| Disciplina | 153 |
| Altri autori (Persone) | DavisSteven <1937-> |
| Collana | Vancouver studies in cognitive science |
| Soggetto topico |
Connectionism
Cognition |
| ISBN |
0-19-773507-X
1-280-44253-0 0-19-536035-4 1-4237-6479-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910784749903321 |
| New York, : Oxford University Press, 1992 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Connectionism : theory and practice / / edited by Steven Davis
| Connectionism : theory and practice / / edited by Steven Davis |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York, : Oxford University Press, 1992 |
| Descrizione fisica | 322 p. : ill |
| Disciplina | 153 |
| Altri autori (Persone) | DavisSteven <1937-> |
| Collana | Vancouver studies in cognitive science |
| Soggetto topico |
Connectionism
Cognition |
| ISBN |
0-19-773507-X
1-280-44253-0 0-19-536035-4 1-4237-6479-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- Contents -- 1. Using Coherence Assumptions to Discover the Underlying Causes of the Sensory Input -- Comment -- 2. A Deeper Unity: Some Feyerabendian Themes in Neurocomputational Form -- Comment -- 3. Towards a Microstructural Account of Human Reasoning -- 4. Connectionism without Tears -- Comment -- 5. Grammatical Structure and Distributed Representations -- Comment -- 6. Structured Representations in Connectionist Systems? -- 7. Local Modelling in Phonology -- 8. Connectionism and the Philosophy of Mental Representation -- 9. Connectionism and the Computional Neurobiology of Curve Detection -- 10. PDP Learnability and Innate Knowledge of Language. |
| Record Nr. | UNINA-9910823135903321 |
| New York, : Oxford University Press, 1992 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
