REPLANNING MECHANISM FOR DELIBERATIVE AGENTS IN DYNAMIC CHANGING ENVIRONMENTS

This paper proposes a replanning mechanism for deliberative agents as a new approach to tackling the frame problem. We propose a beliefs desires and intentions (BDI) agent architecture using a case‐based planning (CBP) mechanism for reasoning. We discuss the characteristics of the problems faced with planning where constraint satisfaction problems (CSP) resources are limited and formulate, through variation techniques, a reasoning model agent to resolve them. The design of the agent proposed, named MRP‐Ag (most‐replanable agent), will be evaluated in different environments using a series of simulation experiments, comparing it with others such as E‐Ag (Efficient Agent) and O‐Ag (Optimum Agent). Last, the most important results will be summarized, and the notion of an adaptable agent will be introduced.