Theoretical and experimental results on the goal-plan tree problem

Agents programmed in BDI-inspired languages have goals to achieve and a library of plans that can be used to achieve them, typically requiring further goals to be adopted. This is most naturally represented by a structure that has been called a Goal-Plan Tree. One of the uses of such structure is in agent deliberation (in particular, deciding whether to commit to achieving a certain goal or not). This paper presents new experimental results combining various types of goal-plan tree reasoning from the literature. Categories and Subject Descriptors I.2 [Artificial Intelligence]: Intelligent Agents; D.2.2 [Design Tools and Techniques]: Petri nets General Terms Experimentation Keywords Autonomous Agents, Reasoning, Petri nets

• Type: Conference
• Year: 2008
• Where: ATAL
• Authors: Patricia H. Shaw, Berndt Farwer, Rafael H. Bordini
• Keywords: ATAL 2008, Goal-plan Tree, Goal-plan Tree Reasoning, Intelligent Agents, Petri Nets