Computer Science – Artificial Intelligence
Scientific paper
2011-07-17
Expert Systems with Applications 38, 5 (2011) 5145-5153
Computer Science
Artificial Intelligence
Scientific paper
10.1016/j.eswa.2010.10.048
The aim of this paper is to present the principles and results about case-based reasoning adapted to real- time interactive simulations, more precisely concerning retrieval mechanisms. The article begins by introducing the constraints involved in interactive multiagent-based simulations. The second section pre- sents a framework stemming from case-based reasoning by autonomous agents. Each agent uses a case base of local situations and, from this base, it can choose an action in order to interact with other auton- omous agents or users' avatars. We illustrate this framework with an example dedicated to the study of dynamic situations in football. We then go on to address the difficulties of conducting such simulations in real-time and propose a model for case and for case base. Using generic agents and adequate case base structure associated with a dedicated recall algorithm, we improve retrieval performance under time pressure compared to classic CBR techniques. We present some results relating to the performance of this solution. The article concludes by outlining future development of our project.
Benard Romain
Loor Pierre de
Pierre Chevaillier
No associations
LandOfFree
Real-time retrieval for case-based reasoning in interactive multiagent-based simulations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Real-time retrieval for case-based reasoning in interactive multiagent-based simulations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Real-time retrieval for case-based reasoning in interactive multiagent-based simulations will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-479372