Marca: Editorial URSS

Tienda: Agapea.com

Disponibilidad: En almacén, envío inmediato.

Artificial Minds: Paths and Prospects. The book presents a general view of a large number of issues that touch upon the problems of behavior, perception and thinking modeling. Along with general questions, it considers the models of goal directed behavior, perception with understanding and active neural brain mechanisms. These models are based on the Stable disequilibrium principle, maxT principle and systems principles of integrity, purposefulness and activity. It also describes the application of the principles of integrity, purposefulness and activity in the practical systems of written text recognition, such as Grafit, FineReader and FormReader. Preface Introduction. Artificial Intelligence: Myth or Reality? 1 Stable Nonequilibrium and a Model of Goal-Directed Behavior 1.1. Behavior 1.2. The maxT Principle 1.3. A Formal Model 1.4. Motivations and Needs 1.5. An Actual Problem 1.6. Emotions 2 The Integral Perception Model and \"Recognition with Understanding\". Perceptual Thinking 2.1. Recognition 2.2. The Psychology of Computer Vision 2.3. Principles of Handprint Recognition and Their Implementation in the ABBYY Programs FineReader Handprint and FormReader 2.4. Perceptual Thinking 3 Wholeness and Organization 3.1. Wholeness and the Theory of Systems 3.2. Representation of a Holistic Object (System) 3.3. Organization 3.4. Occurrence and Change in Organization 3.5. Stable Nonequilibrium 3.6. The maxT Principle in the Behavior of Living Organisms and in Man-Made Active Dynamic Systems 3.7. Freedom of Behavior of Active Dynamic Systems 4 Information 4.1. Approaches to Determining and Measuring Information 4.2. The Value of Information 4.3. Cognition and the Informational Representation of the World 4.4. Information and Needs 5 A Model of the Problem Environment 5.1. Some Physiological Premises 5.2. Special Features of the Task of Behavior 5.3. Special Features of the Task of Perception 5.4. Representation of Integral Objects and Situations in the Model of the Problem Environment 5.5. Structural and Logical Features of the Model of the Problem Environment of a Human 5.6. Necessary Properties of the Model of the Problem Environment 6 Passive Neural Models: the Neurocomputer 6.1. Properties and Functions of Neural Models of the Brain that are Necessary to Solve the Basic Problem of Thinking 6.2. Review of the Components of the Brain 6.3. Logical Neural Networks of McCullough and Pitts 6.4. F.Rosenblatt's Perceptron 6.5. Formal Feature-Recognition Neural Networks 7 Active Neural Models 7.1. Activity 7.2. Yemelyanov-Yaroslavsky's Hypothesis 7.3. A Model of the Three-Layer Active Network with Backward Inhibition 7.3.1. Properties of Neurons of the Experimental Model 7.3.2. Structure and Operation of a Network 7.3.3. Remembering External Informational Effects on a Three-Layer Neural Network 7.4. The A-Network: a Model Satisfying the Principle of Stable Nonequilibrium 7.5. An Automaton for Recognition and Reproduction of Time Sequences 7.5.1. The Problem 7.5.2. Scheme of the Automaton 7.5.3. Training and Reproduction of Experience 7.5.4. Version with Support Codes 7.5.5. Experiment 7.5.6. The Probabilistic Scheme 7.5.7. The Prospects for Implementation of an Automaton in an Active Neural Model 8 Basic Problems Related to Neural Mechanisms of the Brain 8.1. The General Evaluation of the Existing Neural Models Revisited 8.2. Consciousness 8.3. Imaginative Modeling and Free Will 8.4. Appearance and Inhibition of Excitation Focuses 8.5. Obtaining Features, Relations, and Metrical Characteristics 8.6. Process Management in the Model from the Conceptual Level 8.7. Construction of Integral Multilevel Hierarchical Structural-Metrical Descriptions 8.8. The Problem of Modeling Memory 8.9. Transition from a Neuron to a Neural Ensemble 8.10. The Problem of Modeling Language and Abstract Thinking 8.11. Secondary Problems 9 Thinking and Creativity 9.1. General Remarks 9.2. Cognitive Thinking 9.3. Practical (Behavioral) Thinking 9.4. Mechanisms of Simple Reproductive Practical (Behavioral) Thinking 9.5. Creativity 9.5.1. Creative Search 9.5.2. Creative Thinking 9.5.3. Operation of the Brain and Some Functions of Creativity 10 Artificial Mind: Myth or Reality? Conclusion Bibliography