Complex Systems and Cognitive Processes
Autor Roberto Serra, Gianni Zanarinien Limba Engleză Paperback – 10 mar 2012
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Specificații
ISBN-13: 9783642466809
ISBN-10: 364246680X
Pagini: 216
Ilustrații: X, 205 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.31 kg
Ediția:Softcover reprint of the original 1st ed. 1990
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 364246680X
Pagini: 216
Ilustrații: X, 205 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.31 kg
Ediția:Softcover reprint of the original 1st ed. 1990
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
1 Introductory Concepts.- 1.1 Complex Systems and Self-organization.- 1.2 Self-organization in Artificial Systems.- 1.3 Cognitive Processes in Artificial Systems.- 1.4 Metaphors of the Cognitive Sciences.- 2 The Dynamical Systems Approach to Artificial Intelligence.- 2.1 Introduction.- 2.2 Dynamical Systems, Attractors and Meaning.- 2.3 Neural Networks.- 2.4 The Relationship with Classical AI.- 3 Dynamical Behaviour of Complex Systems.- 3.1 Introduction.- 3.2 One-Dimensional Dynamical Systems.- 3.3 Two-Dimensional Dynamical Systems.- 3.4 Cellular Automata.- 3.5 The Life Game.- 3.6 Random Boolean Networks.- 3.7 Computation in Reaction-Diffusion Systems.- 4 Homogeneous Neural Networks.- 4.1 Introduction.- 4.2 The Hopfield Model.- 4.3 Modifications of the Hopfield Model.- A4.1 Non-Deterministic Dynamics of the Model.- A4.2 Memorization and Recognition of Two States.- 5 Network Structure and Network Learning.- 5.1 Introduction.- 5.2 Layered Networks.- 5.3 Back-Propagation Algorithms.- 5.4 Self-organization and Feature Extraction.- 5.5 Learning in Probabilistic Networks.- 5.6 Unsupervised Learning.- A5.1 The Learning Algorithm for the Boltzmann Machine.- 6 Dynamical Rule Based Systems.- 6.1 Introduction.- 6.2 Classifier Systems and Genetic Algorithms.- 6.3 The Equations of Classifier Systems.- 6.4 The Dynamics of Classifier Systems.- 6.5 Classifier Systems and Neural Networks.- A6.1 Implicit Parallelism.- 7 Problems and Prospects.- 7.1 Introduction.- 7.2 Knowledge Representation.- 7.3 The Role of Dynamics.- 7.4 On the Limits of the Dynamical Approach.- References.