Intention is choice with commitment
Artificial Intelligence
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Knowledge, action, and the frame problem
Artificial Intelligence
Goal Change in the Situation Calculus*
Journal of Logic and Computation
Dynamic interactions between goals and beliefs
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
The ARTS real-time agent architecture
LADS'09 Proceedings of the Second international conference on Languages, Methodologies, and Development Tools for Multi-Agent Systems
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Most existing formal models of goals [2, 3] 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, e.g. when the agent's beliefs/knowledge changes or 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.