Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | AAMAS '08 |
| Subtitle of host publication | Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3 |
| Publisher | International Foundation for Autonomous Agents and Multiagent Systems |
| Number of pages | 4 |
| ISBN (Print) | 978-0-9817381-2-3 |
| Publication status | Published - 12 May 2008 |
| Externally published | Yes |