* 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 automataand 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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