Case-based reasoning
A hybrid architecture for autonomous navigation using a CBR reactive layer
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
A Case-Based Approach to Intelligent Virtual Agent's Interaction Experience Representation
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
A Virtual Agent's Behavior Selection by Using Actions for Focusing of Attention
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Dynamic Adaptive Case Library for Continuous Domains
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
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A case-based reasoning (CBR) system that continuously interacts with an environment must be able to autonomously create new situation cases based on its perception of the local environment in order to select the appropriate steps to achieve the current mission goal. Although many continuous problem domains seem appropriate for case-based reasoning, a general formal framework is still missing. This paper presents a step in the direction of developing such a formal model of autonomous creation of new situation cases. The model is based on the notion of the step for attentional shift. This notion allows us to define the representation scheme for situation cases. We have introduced two types of situation cases: contextual cases and action cases. The solution component of contextual cases, also called a contextual behavior routine, is used as a resource to direct the attention of the CBR system to the relevant aspects of the local environment. The solution component of action cases, also called an action behavior routine, is used to guide selection of manipulative steps. There are two key roles of steps for attentional shift in our model. The first one is that steps for attentional shift represent a description structure of situation cases. The second role is that steps for attentional shift represent an abstract representation of actions by which the CBR system moves the attention to the relevant aspects of a local environment.