Abstract
In this paper, we develop a formal model of planning for an agent that is operating in a dynamic and incompletely known environment. We assume that both the agent's task and the behavior of the agents in the environment are expressed as high-level nondeterministic concurrent programs in some agent programming language (APL). In this context, planning must produce a deterministic conditional plan for the agent that can be successfully executed against all possible executions of the environment program. We handle actions with nondeterministic effects, as well as sensing actions, by treating them as actions that trigger an environmental reaction that is not under the planning agent's control. Our model of contingent planning is specified for a generic APL with a transition semantics. Within this model, we devise a general procedure for computing the contingent plans. We also show how the model can be instantiated in the situation calculus with programs for the agent and the environment expressed in ConGolog, and we describe an implementation of the planning mechanism in this case.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.