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ATAL
2008
Springer

Theoretical and experimental results on the goal-plan tree problem

8 years 4 months ago
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
Patricia H. Shaw, Berndt Farwer, Rafael H. Bordini
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where ATAL
Authors Patricia H. Shaw, Berndt Farwer, Rafael H. Bordini
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