LNAI 2903 A Defeasible Logic of Policy Based Intention 1st Edition by Guido Governatori, Vineet Padmanabhan – Ebook PDF Instant Download/Delivery. 9783540200574 ,354020057X
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Product details:
ISBN 10: 354020057X
ISBN 13: 9783540200574
Author: Guido Governatori, Vineet Padmanabha
Most of the theories on formalising intention interpret it as a unary modal operator in Kripkean semantics, which gives it a monotonic look. We argue that policy-based intentions exhibit non-monotonic behaviour which could be captured through a non-monotonic system like defeasible logic. To this end we outline a defeasible logic of intention. The proposed technique alleviates most of the problems related to logical omniscience. The proof theory given shows how our approach helps in the maintenance of intention-consistency in agent systems like BDI.
LNAI 2903 A Defeasible Logic of Policy Based Intention 1st Edition Table of contents:
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Fundamentals of Defeasible Logic
- Introduction to Defeasible Logic
- Classical Logic vs. Defeasible Logic
- Rules of Inference and Exceptions
- Applications of Defeasible Logic in AI and Decision Theory
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Policy-Based Reasoning
- Defining Policies and Policy Enforcement
- The Structure of Policy-Based Systems
- Formal Models of Policy and Intentions
- The Interaction Between Policies and Decision-Making
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Intention in Defeasible Logic
- Understanding Intention in Logic and AI
- Models of Intention in Rational Agents
- Defeasible Logic as a Framework for Intentional Reasoning
- The Role of Intention in Policy Adaptation and Enforcement
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A Defeasible Logic of Policy-Based Intention
- Introducing the Defeasible Logic of Intention
- Formalizing the Interaction Between Policy and Intention
- Handling Conflicts and Exceptions in Policy-Based Systems
- Algorithms for Managing Policy-Based Intentions
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Applications of Defeasible Logic in Policy-Based Systems
- Case Studies in Autonomous Systems and AI
- Legal Reasoning and Policy Enforcement
- Applications in Security, Privacy, and Compliance
- Defeasible Logic in Autonomous Vehicles and Robotics
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Advanced Topics
- Non-Monotonic Reasoning in Policy-Based Systems
- Combining Defeasible Logic with Other Logical Systems
- Complexities of Real-Time Policy Adaptation
- Future Directions in Policy-Based Intention Models
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Conclusion
- Summary of Key Concepts and Theories
- Contributions of Defeasible Logic to AI and Policy-Based Systems
- Challenges and Opportunities in the Field
- Closing Remarks and Future Research Directions
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Appendices
- Mathematical Foundations and Proofs
- Example Applications and Case Studies
- Glossary of Terms and Definitions
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