Rational agents: prioritized goals, goal dynamics, and agent programming languages with declarative goals

  • Authors:
  • Shakil M. Khan

  • Affiliations:
  • York University, Toronto, ON, Canada

  • Venue:
  • Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
  • Year:
  • 2010

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Abstract

Central to the agent concept is the notion of goals. In the past two decades, much research has been devoted to formalizing various motivational attitudes of agents, such as goals and intentions. Nevertheless, the existing formal models of goals and intentions suffer from a host of problems. For instance, most of them assume that all goals are equally important, and many only deal with achievement goals. Moreover, they do not guarantee that an agent's goals will properly evolve when an action/event occurs, when the agent's beliefs/knowledge changes, or when a goal is adopted or dropped. Also, most of these frameworks do not model the dependencies between goals and the subgoals and plans adopted to achieve these goals; subgoals adopted to bring about a goal should be dropped when the parent goal becomes impossible, is achieved, or is dropped. Dealing with these issues is important for developing effective models of rational agency and BDI agent programming languages.