Reactive Policies with Planning for Action Languages
Zeynep G. Saribatur, Thomas Eiter

TL;DR
This paper introduces a high-level transition system representation for reactive policies in agents, integrating online planning to determine actions and analyze policy execution flow.
Contribution
It presents a novel representation that combines reactive policies with planning, enabling analysis and flexible behavior design in decision-making agents.
Findings
Allows analysis of policy execution flow
Supports online planning for action determination
Enhances flexibility in behavior design
Abstract
We describe a representation in a high-level transition system for policies that express a reactive behavior for the agent. We consider a target decision component that figures out what to do next and an (online) planning capability to compute the plans needed to reach these targets. Our representation allows one to analyze the flow of executing the given reactive policy, and to determine whether it works as expected. Additionally, the flexibility of the representation opens a range of possibilities for designing behaviors.
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Multi-Agent Systems and Negotiation · AI-based Problem Solving and Planning
