Name
Abstract | ||
|---|---|---|
The Belief-Desire-Intention (BDI) paradigm is a flexible framework for representing intelligent agents. Practical BDI agent systems rely on a static plan library to reduce the planning problem to the simpler problem of plan selection. However, fixed pre-defined plan libraries are unable to adapt to fast-changing environments pervaded by uncertainty. In this paper, we advance the state-of-the-art in BDI agent systems by proposing a plan library evolution architecture with mechanisms to incorporate new plans (plan expansion) and drop old/unsuitable plans (plan contraction) to adapt to changes in a realistic environment. The proposal follows a principled approach to define plan library expansion and contraction operators, motivated by postulates that clearly highlight the underlying assumptions, and quantified by decision-support measures of temporal information. In particular, we demonstrate the feasibility of the proposed contraction operator by presenting a multi-criteria argumentation based decision making to remove plans exemplified in a planetary vehicle scenario. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICTAI.2018.00071 | 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) |
Keywords | Field | DocType |
BDI Agent Systems,Agent Reasoning,Plan Library Expansion/Contraction,Multi-criteria Decision Making | Architecture,Intelligent agent,Software engineering,Computer science,Argumentation theory,Artificial intelligence,Operator (computer programming),Cognition,Machine learning | Conference |
ISSN | ISBN | Citations |
1082-3409 | 978-1-5386-7450-5 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mengwei Xu | 1 | 0 | 2.03 |
| Kim Bauters | 2 | 38 | 7.91 |
| Kevin McAreavey | 3 | 23 | 8.16 |
| Weiru Liu | 4 | 0 | 2.37 |