Artificial Intelligence 2nd Edition by Margaret Boden ISBN 9780080527598 0080527590

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Product details:
ISBN 10: 0080527590
ISBN 13: 9780080527598
Author: Margaret Boden

Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do. This volume discusses the ways in which computational ideas and computer modeling can aid our understanding of human and animal minds. Major theoretical approaches are outlined, as well as some promising recent developments. Fundamental philosophical questions are discussed along with topics such as: the differences between symbolic and connectionist AI, planning and problem solving, knowledge representation, learning, expert systems, vision, natural language, creativity, and human-computer interaction. This volume is suitable for any psychologist, philosopher, or computer scientist wanting to know the current state of the art in this area of cognitive science.

Artificial Intelligence 2nd Edition Table of contents:

Part I: Foundations of Artificial Intelligence

2. The Philosophy of AI

   • The Nature of Intelligence and Cognition
   • Turing’s Test and Its Implications
   • Strong AI vs. Weak AI
   • The Mind-Body Problem in AI
   • Ethical Considerations in AI Development

3. Problem-Solving and Search

   • Search Strategies in AI
   • Uninformed and Informed Search Methods
   • Game Playing and Minimax Algorithm
   • Constraint Satisfaction Problems
   • Case Study: AI in Puzzle Solving

4. Knowledge Representation

   • Representing Knowledge in AI Systems
   • Logical Representations and Inference
   • Frames, Semantic Networks, and Ontologies
   • Rule-Based Systems
   • Case Study: Knowledge Representation in Expert Systems

5. Learning in Artificial Intelligence

   • Machine Learning: Basics and Techniques
   • Supervised vs. Unsupervised Learning
   • Neural Networks and Deep Learning
   • Reinforcement Learning and Evolutionary Algorithms
   • Case Study: AI in Speech Recognition

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Part II: Core Methods in Artificial Intelligence

6. Expert Systems

   • Foundations of Expert Systems
   • Knowledge Acquisition and Inference
   • Building and Evaluating Expert Systems
   • Case Study: Expert Systems in Medical Diagnosis

7. Natural Language Processing (NLP)

   • Challenges in Understanding Human Language
   • Syntax, Semantics, and Pragmatics
   • Speech Recognition and Synthesis
   • Machine Translation and Text Mining
   • Case Study: AI in Chatbots and Virtual Assistants

8. Computer Vision and Robotics

   • Principles of Computer Vision
   • Object Recognition and Image Processing
   • Robotics and Autonomous Systems
   • Motion Planning and Control
   • Case Study: AI in Autonomous Vehicles

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Part III: Advanced Topics in Artificial Intelligence

9. Cognitive Science and AI

   • Interdisciplinary Nature of AI
   • Cognitive Models and Simulations
   • Connectionism vs. Symbolism in AI
   • Case Study: Cognitive Architectures in AI

10. Artificial Life and Autonomous Agents

    • The Concept of Artificial Life (ALife)
    • Autonomous Agents and Multi-Agent Systems
    • Agent-Based Modeling and Simulation
    • Case Study: AI in Swarm Intelligence

11. AI and Creativity

    • AI in the Arts: Music, Literature, and Visual Arts
    • Computational Creativity
    • The Role of AI in Human Creativity
    • Case Study: AI as a Co-Creator

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Part IV: Applications of Artificial Intelligence

12. AI in Business and Industry

    • Applications of AI in Business Processes
    • Machine Learning for Data Analysis and Decision Making
    • AI in Customer Service and Personalization
    • Case Study: AI in E-Commerce and Retail

13. AI in Medicine and Healthcare

    • Diagnostic Systems and Predictive Analytics
    • AI in Drug Discovery and Personalized Medicine
    • Robotics in Surgery and Healthcare Assistance
    • Case Study: AI in Healthcare Applications

14. AI and Society

    • Social Implications of AI
    • AI in Education, Entertainment, and Governance
    • The Impact of AI on Jobs and the Workforce
    • Case Study: AI Ethics and Social Responsibility

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