Abstract
This paper presents a new approach called stepwise case-based reasoning (SCBR) for intention selection. In this paper an agent that autonomously selects its intentions by using this approach is called an SCBR agent. An SCBR agent is an entity that selects the next intention based on previous interaction experience. An SCBR agent’s interaction experience is represented in the form of two different types of cases: plan cases and contextual cases.
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© 2007 Springer-Verlag London Limited
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Supic, H. (2007). Case-based Intention Selection for Autonomous Agent that Acts in Structured Synthetic Worlds. In: Bramer, M., Coenen, F., Tuson, A. (eds) Research and Development in Intelligent Systems XXIII. SGAI 2006. Springer, London. https://doi.org/10.1007/978-1-84628-663-6_31
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DOI: https://doi.org/10.1007/978-1-84628-663-6_31
Publisher Name: Springer, London
Print ISBN: 978-1-84628-662-9
Online ISBN: 978-1-84628-663-6
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