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1. |
Record Nr. |
UNINA9910830778203321 |
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Autore |
Dawson Michael R. W |
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Titolo |
Connectionism [[electronic resource] ] : A Hands-on Approach |
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Pubbl/distr/stampa |
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ISBN |
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1-4051-4387-8 |
1-280-19855-9 |
9786610198559 |
0-470-69407-6 |
1-4051-4389-4 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (210 p.) |
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Disciplina |
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Soggetti |
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Connectionism |
Social Sciences |
Psychology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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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 |
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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 |
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Sommario/riassunto |
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Connectionism is a "hands on" introduction to connectionist modeling through practical exercises in different types of connectionist architectures. explores three different types of connectionist architectures - distributed associative memory, perceptron, and multilayer perceptron provides a brief overview of each architecture, a detailed introduction on how to use a program to explore this network, and a series of practical exercises that are designed to highlight the advantages, and disadvantages, of each accompanied by a website at http://www.bcp.psych.ualbert |
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2. |
Record Nr. |
UNICAMPANIAVAN00020977 |
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Autore |
Norman, Donald A. |
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Titolo |
Lo sguardo delle macchine : per una tecnologia dal volto umano / Donald A. Norman ; presentazione di Giuseppe Mantovani |
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Pubbl/distr/stampa |
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Titolo uniforme |
Turn signals are the facial expressions of automobiles |
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ISBN |
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Descrizione fisica |
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IX, 212 p. : ill. ; 23 cm |
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Disciplina |
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Soggetti |
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Progresso tecnico - Effetti sociali |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Sommario/riassunto |
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Nel titolo del libro è riassunto l’augurio che le macchine si vestano finalmente di capacità sociali, così da indicarci chiaramente le loro intenzioni e i loro stati interni. Finché questo non avverrà dovremo stare in guardia, vigilare, perché le esigenze delle macchine non abbiano mai il diritto di precedenza sui bisogni umani. Intelligente, brillante, drastico nelle diagnosi, il saggio Lo sguardo delle macchine è un appello persuasivo per l’umanizzazione della tecnologia moderna, in cui il “guru della tecnologia maneggevole” ci introduce alla “psicoterapia” del design. |
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