Artificial Intelligence: Foundations of Computational Agents (3版)
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【簡介】
Introduces concepts at the right level of detail, using straightforward language and minimum mathematics
Examines the social and ethical impacts of AI, connecting techniques to real-world benefits and harms
Explains state-of-the-art algorithms and examples underlying the theory, demonstrating how concepts are applied
Provides two complementary software systems – AIPython and AILog - for experimentation and extension
Pedagogical features include examples, end-of-chapter reviews, further reading lists, and exercises
【目錄】
Part I - Agents in the World
Chapter 1 - Artificial Intelligence and Agents
Chapter 2 - Agent Architectures and Hierarchical Control
Part II - Reasoning and Planning with Certainty
Chapter 3 - Searching for Solutions
Chapter 4 - Reasoning with Constraints
Chapter 5 - Propositions and Inference
Chapter 6 - Deterministic Planning
Part III - Learning and Reasoning with Uncertainty
Chapter 7 - Supervised Machine Learning
Chapter 8 - Neural Networks and Deep Learning
Chapter 9 - Reasoning with Uncertainty
Chapter 10 - Learning with Uncertainty
Chapter 11 - Causality
Part IV - Planning and Acting with Uncertainty
Chapter 12 - Planning with Uncertainty
Chapter 13 - Reinforcement Learning
Chapter 14 - Multiagent Systems
Part V - Representing Individuals and Relations
Chapter 15 - Individuals and Relations
Chapter 16 - Knowledge Graphs and Ontologies
Chapter 17 - Relational Learning and Probabilistic Reasoning
Part VI - The Big Picture
Chapter 18 - The Social Impact of Artificial Intelligence
Chapter 19 - Retrospect and Prospect
Appendix A - Mathematical Preliminaries and Notation
Appendix B - Mapping to Open-Source Packages
原價:
1480
售價:
1376
現省:
104元
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