Abstract
Learning collaborative behaviors is an essential part of multi agent systems. One of the suitable techniques for learning collaborative behaviors is observational learning. This paper describes a hybrid method for learning teamwork behaviors from an expert team by observation. More specifically, this paper describes a technique based on implicit knowledge acquired from observational learning and some domain expertise knowledge. In our method an expert team is observed by a team of learners to learn plans and save them in a plan base. Learners then use case-based planning to effectively act based on learned plans in order to imitate the expert team. To evaluate our method a simulated soccer team is developed. We argue that this approach provides a powerful complement to existing teamwork learning methods, specifically in learning complex goal oriented behaviors.
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Rekabdar, B., Shadgar, B., Osareh, A. (2012). Learning Teamwork Behaviors Approach: Learning by Observation Meets Case-Based Planning. In: Ramsay, A., Agre, G. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2012. Lecture Notes in Computer Science(), vol 7557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33185-5_22
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DOI: https://doi.org/10.1007/978-3-642-33185-5_22
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