caa a22 4500 605514755 CHVBK 20210128100706.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s10458-015-9293-5 doi (NATIONALLICENCE)springer-10.1007/s10458-015-9293-5 Improving domain-independent intention selection in BDI systems [Elektronische Daten] [Max Waters, Lin Padgham, Sebastian Sardina] The Belief Desire Intention (BDI) agent paradigm provides a powerful basis for developing complex systems based on autonomous intelligent agents. These agents have, at any point in time, a set of intentions encoding the various tasks the agent is working on. Despite its importance, the problem of selecting which intention to progress at any point in time has received almost no attention and has been mostly left to the programmer to resolve in an application-dependent manner. In this paper, we implement and evaluate two domain-independent intention selection mechanisms based on the ideas of enablement checking and low coverage prioritisation. Through a battery of automatically generated synthetic tests and one real program, we compare these with the commonly used intention selection mechanisms of First-In-First-Out (FIFO) and Round Robin (RR). We found that enablement checking, which is incorporated into low coverage prioritisation, is never detrimental and provides substantial benefits when running vulnerable programs in dynamic environments. This is a significant finding as such a check can be readily applied to FIFO and RR, giving an extremely simple and effective mechanism to be added to existing BDI frameworks. In turn, low coverage prioritisation provides a significant further benefit. The Author(s), 2015 BDI Agent Programming nationallicence Intention selection nationallicence Waters Max School of Computer Science & Information Technology, RMIT University, Melbourne, Australia aut Padgham Lin School of Computer Science & Information Technology, RMIT University, Melbourne, Australia aut Sardina Sebastian School of Computer Science & Information Technology, RMIT University, Melbourne, Australia aut Autonomous Agents and Multi-Agent Systems Springer US; http://www.springer-ny.com 29/4(2015-07-01), 683-717 1387-2532 29:4<683 2015 29 10458 https://doi.org/10.1007/s10458-015-9293-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10458-015-9293-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Waters Max School of Computer Science & Information Technology, RMIT University, Melbourne, Australia aut NATIONALLICENCE 700 1- Padgham Lin School of Computer Science & Information Technology, RMIT University, Melbourne, Australia aut NATIONALLICENCE 700 1- Sardina Sebastian School of Computer Science & Information Technology, RMIT University, Melbourne, Australia aut NATIONALLICENCE 773 0- Autonomous Agents and Multi-Agent Systems Springer US; http://www.springer-ny.com 29/4(2015-07-01), 683-717 1387-2532 29:4<683 2015 29 10458