Summary
- Real-time intelligent agents: solutions and applications
- Choosing and integrating the best planning techniques
- Reaction decision frameworks and language frameworks
- Includes a complete case study
The act of planning for and responding to real-time events has been an area of intense investigation in the past few years. Planning for Real Time Event Response Management offers this state-of-the-art technology in depth and demonstrates how it can be employed for maximum effect. The techniques presented here are applicable to an exceptionally broad range of problems, from web-based shopping assistants to robots, medicine to financial analysis. Coverage includes: - Conventional and reactive planning: when to use each, and when to avoid planning
- A flight planning example used throughout the book to bring together the concepts
- Key reactive planning techniques such as Brooks' subsumption architecture and Rosenschein/Kaelbling's situated automata—and their limitations
- Contingencies: building intelligent agents that can handle unanticipated events
- Applying planning paradigms to real-world domains
- Building Reaction Decision Frameworks that integrate conventional and reactive planning
- Solving problems at execution time: anytime algorithms and real-time architectures
- Real-time planning: integrating artificial intelligence and real-time computing
Planning for Real Time Event Response Management introduces a framework for describing reactive behavior that can be used in many knowledge domains, concluding with a preview of the next steps to be taken in intelligent agent development, including integration of real-time problem solving languages with existing Internet infrastructures.
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Table of Contents
1. Evolution of Planning.
A Brief History of Planning. Types of Domains Used In AI. Conventional Planners. Pure (Hard-Wired) Reaction. Classical Real-time Planners. Book Synopsis.
2. Subsuming Planning to Reaction.
Minton's Utility Function. Insect Intelligence and Robotics: The Work of Rodney Brooks. Procedural Reasoning Systems. Situated Automata and Situated Agents. Disadvantages and Next Step.
3. Integration of Planning and Reaction.
The Planning to Reaction Spectrum. The Contingency Space. The Need for Deciding Between Planning and Reaction.
4. Deciding at Planning Time.
Alternative Approaches. Empirical Approach. Analytical Approach. The Need for Good Real-time Components.
5. Execution Time: Reacting, (Re)Planning and Deciding.
Anytime Algorithms. Action-based Decision Trees.
6. Real-time Planning.
Guaranteeing Temporal Adequacy. Building Guaranteed And Unguaranteed Plans.
7. Applications.
A Language Framework for Describing Reactive Behaviors. Formalizing Reaction Decisions in Critical Domains for Pedagogical Purposes.
8. Conclusion.
Integration of the Ideas. Language Development. Integration with Existing Technologies. Development of Hardware.
Index.
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