Case-based planning: viewing planning as a memory task
Case-based planning: viewing planning as a memory task
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Planning for Conjunctive Goals
Planning for Conjunctive Goals
Organization of the basic agent
ACM SIGART Bulletin
Opportunity recognition in complex environments
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Integrating planning and acting in a case-based framework
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Stabilizing environments to facilitate planning and activity: an engineering argument
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
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In this paper, we present a model of opportunistic planning that uses planning-time rear soning about the opportunities that might arise during plan execution. The model is composed of three parts: a planning-time mechanism that places blocked goals into memory for later activation, an understanding system that activates suspended goals as a byproduct of parsing the world, and an executiontime process for evaluating opportunities and merging newly activated goals into the planning/ execution agenda. We discuss this model in terms of examples from TRUCKER, a routescheduling system, and RUNNER, an errand planner.