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 |
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Title of host publication | N/A |
Number of pages | 4 |
Publication status | Published - 1 Jan 2008 |
Event | 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), - Location unknown - please update Duration: 1 Jan 2008 → 1 Jan 2008 |
Conference
Conference | 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), |
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Period | 1/01/08 → 1/01/08 |
Keywords
- ai
- intelligent agents
- petri nets