Advances in logic artificial intelligence and robotics 1st Edition by Jair Abe, Joao Ida Silva Filho ISBN 1586032925

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ISBN 10: 1586032925
ISBN 13: 
Author: Jair Abe, Joao Ida Silva Filho

explores the intersection of logic, AI, and robotics, addressing cutting-edge advancements in these fields. The book provides a comprehensive overview of how formal logic can be applied to enhance the capabilities of intelligent systems, particularly in robotics. It covers topics such as logic-based AI algorithms, decision-making frameworks for autonomous robots, and the integration of reasoning and perception. The authors also delve into the challenges and potential future directions of using logical structures to improve robotic autonomy, learning, and human-robot interaction, making this a valuable resource for researchers and practitioners interested in the synergies between these domains.

Advances in logic artificial intelligence and robotics 1st Edition Table of contents:

Part I: Introduction to Logic, AI, and Robotics

1. Introduction to the Intersection of Logic, AI, and Robotics

   • Defining the Relationship Between Logic, AI, and Robotics
   • Historical Overview and Current Trends
   • The Role of Formal Logic in AI and Robotics

2. Basic Concepts in Logic and Reasoning

   • Propositional and First-Order Logic
   • Logical Inference and Deduction Systems
   • Non-Classical Logics: Modal, Temporal, and Description Logics

3. Foundations of Artificial Intelligence

   • Classical AI Approaches: Search and Optimization
   • Machine Learning and Data-Driven AI
   • Reasoning under Uncertainty in AI Systems

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Part II: Logic-Based AI Algorithms and Techniques

4. Logical Frameworks for AI

   • Logic Programming and Answer Set Programming (ASP)
   • Knowledge Representation and Ontologies
   • Logic-Based Approaches to Decision Making

5. Automated Reasoning and Problem Solving

   • The Role of Automated Theorem Proving in AI
   • Algorithms for Logical Reasoning
   • Heuristic and Constraint Satisfaction Methods

6. AI in Robotics: Logical Approaches to Perception and Action

   • Reasoning About Actions and Change
   • Logic for Robot Perception and Sensor Fusion
   • Decision Making in Autonomous Robots

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Part III: Robotics and Intelligent Systems

7. Robot Planning and Control

   • Logical Approaches to Path Planning
   • Control Algorithms for Autonomous Systems
   • Task Scheduling and Resource Allocation in Robotics

8. Robotic Perception and Cognition

   • Using Logic for Object Recognition and Scene Understanding
   • Cognitive Architectures for Robotics
   • Perception-Action Loops in Robotic Systems

9. Human-Robot Interaction and Social Robotics

   • Logical Frameworks for Interaction and Communication
   • Robots in Social and Collaborative Environments
   • Cognitive Models for Human-Robot Collaboration

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Part IV: Advanced Topics in Logic, AI, and Robotics

10. Multi-Agent Systems and Distributed Robotics

    • Logic-Based Approaches to Multi-Agent Coordination
    • Cooperative Robotics and Teamwork
    • Negotiation and Conflict Resolution in Distributed Systems

11. Learning in Logic and Robotics

    • Learning from Experience: Reinforcement Learning and Logic
    • Logical Models for Robot Learning
    • The Role of Machine Learning in Enhancing Robot Intelligence

12. Ethical and Philosophical Issues in AI and Robotics

    • The Ethics of Autonomous Robots and AI Systems
    • Formalizing Ethical Decision Making in Robotics
    • The Future of Human-Robot Interaction

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Part V: Conclusion and Future Directions

13. Future Directions in Logic, AI, and Robotics
    • Emerging Trends and Innovations in Robotics
    • Advances in Cognitive Robotics and AI Integration
    • The Role of Logic in Future AI and Robotic Systems

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