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Advanced Artificial Intelligence.
Artificial intelligence is a branch of computer science and a discipline in the study of machine intelligence, that is, developing intelligent machines or intelligent systems imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behavio...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
WSPC
2011.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Preface; Acknowledgement; Contents; Chapter 1 Introduction; 1.1 Brief History of AI; 1.2 Cognitive Issues of AI; 1.3 Hierarchical Model of Thought; 1.4 Symbolic Intelligence; 1.5 Research Approaches of Artificial Intelligence; 1.5.1 Cognitive School; 1.5.2 Logical School; 1.5.3 Behavioral School; 1.6 Automated Reasoning; 1.7 Machine Learning; 1.8 Distributed Artificial Intelligence; 1.9 Artificial Thought Model; 1.10 Knowledge Based Systems; Exercises; Chapter 2 Logic Foundation of Artificial Intelligence; 2.1 Introduction; 2.2 Logic Programming; 2.2.1 Definitions of logic programming.
- 2.11.2 Criteria for a solution to the frame problem2.11.3 Nonmonotonic solving approach of the frame problem; 2.12 Dynamic Description Logic; 2.12.1 Description Logic; 2.12.2 Syntax of dynamic description logic; 2.12.3 Semantics of dynamic description logic; Exercises; Chapter 3 Constraint Reasoning; 3.1 Introduction; 3.2 Backtracking; 3.3 Constraint Propagation; 3.4 Constraint Propagation in Tree Search; 3.5 Intelligent Backtracking and Truth Maintenance; 3.6 Variable Instantiation Ordering and Assignment Ordering; 3.7 Local Revision Search; 3.8 Graph-based Backjumping.
- 3.9 Influence-based Backjumping3.10 Constraint Relation Processing; 3.10.1 Unit Sharing Strategy for Identical Relation; 3.10.2 Interval Propagation; 3.10.3 Inequality Graph; 3.10.4 Inequality Reasoning; 3.11 Constraint Reasoning System COPS; 3.12 ILOG Solver; Exercise; Chapter 4 Qualitative Reasoning; 4.1 Introduction; 4.2 Basic approaches in qualitative reasoning; 4.3 Qualitative Model; 4.4 Qualitative Process; 4.5 Qualitative Simulation Reasoning; 4.5.1 Qualitative state transformation; 4.5.2 QSIM algorithm; 4.6 Algebra Approach; 4.7 Spatial Geometric Qualitative Reasoning.
- 4.7.1 Spatial logic4.7.2 Temporal spatial relation; 4.7.3. Applications of temporal and spatial logic; 4.7.4. Randell algorithm; Exercises; Chapter 5 Case-Based Reasoning; 5.1 Overview; 5.2 Basic Notations; 5.3 Process Model; 5.4 Case Representation; 5.4.1 Semantic Memory Unit; 5.4.2 Memory Network; 5.5 Case Indexing; 5.6 Case Retrieval; 5.7 Similarity Relations in CBR; 5.7.1 Semantic similarity; 5.7.2 Structural similarity; 5.7.3 Goal's features; 5.7.4 Individual similarity; 5.7.5 Similarity assessment; 5.8 Case Reuse; 5.9 Case Retainion; 5.10 Instance-Based Learning.