Abstract
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.
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References
Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundational Issues, Methodological Variations and System Approaches. AICOM 7(1), 39–59 (1994)
Kolodner, J.L.: Case–Based Reasoning. Morgan Kaufmann Publishers, Inc., San Mateo (1993)
Ram, A., Arkin, R.C.: Case-Based Reactive Navigation: A Case-Based Method for On-line Selection and Adaptation of Reactive Control Parameters in Autonomous Systems. Tech. Rep. GIT-CC-92/57, College of Computing, Georgia Institute of Technology, Atlanta, USA (1992)
Kruusmaa, M.: Global Navigation in Dynamic Environments Using Case-Based Reasoning. Autonomous Robots 14(1), 71–91 (2003)
Corchado, J.M., Laza, R.: Creation of Deliberative Agents Using a CBR Model. Computing and Information Systems Journal 8(2), 33–39 (2001) ISBN: 1352-9404
Urdiales, C., Perez, E.J., Vázquez-Salceda, J., Sandoval, F.: A Hybrid Architecture for Autonomous Navigation Using a CBR Reactive Layer. In: Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), Halifax, Canada, pp. 225–232. IEEE Computer Society, Los Alamitos (2003) ISBN 0-7695-1931-8
Olivia, C., Chang, C.F., Enguis, C.F., Ghose, A.K.: Case-Based BDI Agents: An Effective Approach for Intelligent Search on the World Wide Web. In: AAAI Spring Symposium on Intelligent Agents in Cyberspace, pp. 20–27. AAAI Press, Menlo Park (1999)
Martin, F.J., Plaza, E., Arcos, J.L.: Knowledge and Experience Reuse through Communications among Components (peer) Agents. International Journal of Software Engineering and Knowledge Engineering 9(3), 319–341 (1999)
Wendler, J., Lenz, M.: CBR for Dynamic Situation Assesment in an Agent-Oriented Setting. In: Proc. AAAI 1998 Workshop on CBR Integrations, Madison, USA (1998)
Balkenius, C., Hulth, N.: Attention as selection-for-action: a scheme for active perception. In: Schweitzer, G., Burgard, W., Nehmzow, U., Vestli, S.J. (eds.) Proceedings of EUROBOT 1999, pp. 113–119. IEEE, Los Alamitos (1999)
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Supic, H., Ribaric, S. (2005). Autonomous Creation of New Situation Cases in Structured Continuous Domains. In: Muñoz-Ávila, H., Ricci, F. (eds) Case-Based Reasoning Research and Development. ICCBR 2005. Lecture Notes in Computer Science(), vol 3620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11536406_41
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DOI: https://doi.org/10.1007/11536406_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28174-0
Online ISBN: 978-3-540-31855-2
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