Abstract
We study the benefits of teaming and selflessness when using multiagent search to solve task-oriented problems. We introduce a formal framework for multiagent search and study a specific instantiation of it: task-oriented domains. Our experiments show that better allocations are found when the dynamics of the multiagent system lie between order and chaos, that neither absolute selfishness nor absolute selflessness result in better allocations, and that the formation of small teams usually leads to better allocations, among other results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
