By Eyke Hüllermeier, Mirjam Minor
Read Online or Download Case-Based Reasoning Research and Development: 23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28–30, 2015, Proceedings PDF
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Additional resources for Case-Based Reasoning Research and Development: 23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28–30, 2015, Proceedings
ICCBR 2014. LNCS, vol. 8765, pp. 495–510. Springer, Heidelberg (2014) 8. : Case-based prediction of teen driver behavior and skill. , Plaza, E. ) ICCBR 2014. LNCS, vol. 8765, pp. 375–389. Springer, Heidelberg (2014) 9. : Dealing with ambiguity in plan recognition under time constraints. In: Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems, pp. 389–396. ACM Press (2014) 10. : Active behavior recognition in beyond visual range combat. In: Proceedings of the Third Conference on Advances in Cognitive Systems, Cognitive Systems Foundation (2015) 11.
Sim(q, c) = wo × simo (q, c) + wg × simg (q, c), (3) where wo + wg = 1. Using this equation for case similarity, PaGR retrieves a set of cases Cq , where each case in the set has a similarity greater than a given threshold parameter τr . If no cases were retrieved over the threshold, the policy is marked as unknown and system continues until the next timestep to repeat the retrieval process with more information. After it retrieves Cq , PaGR returns a normalized ratio of the policies in the cases of Cq that represents their relative frequencies with respect to their case weights generated during pruning.
Their system implements symbolic plan recognition via feature decision trees to determine if an agent should interact with other agents in multiagent scenarios. Unlike the BVR domain, they assume full observability of other agents. , we have shown previously that acting intelligently via automated planning signiﬁcantly reduces the time it takes to classify agent behaviors in single-agent scenarios . Although we do not perform active recognition in this paper, we extend its recognition system by adding an agent goal to the case.