Summary
This chapter introduces modeling an autonomous agent and a cooperative system which consists of autonomous agents of guide activities in a laboratory. In multi-agent environment, each agent can work at common goals with globally cooperative behaviors. In order to construct a model integrating agent’s behavior and cooperation among agents, we present two approaches for agent collaboration to resolve the above mentioned issues. For the first approach, we introduce social agency model for constructing a prototype system for guide activities in a laboratory. We,then, formalize the interaction between autonomous agents. For the second approach, we present an autonomous agent’s architecture in social agency aimed at communicating with other agents in knowledge-level. The main contribution of this chapter has been to propose the agent’s model to determine both agent’s behavior and cooperation among agents allowing to express (1) cooperation, (2) adaptability, (3) mobility, and (4) transparency, and verify its model by developing the prototype system. Future research will indicate the scaling problem in different knowledge representation schemes between people and robots with sensors in a dynamic, unpredictable environment.
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Etani, N. (2004). Modeling a Distributed Knowledge Management for Autonomous Cooperative Agents with Knowledge Migration. In: Abraham, A., Jain, L., van der Zwaag, B.J. (eds) Innovations in Intelligent Systems. Studies in Fuzziness and Soft Computing, vol 140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39615-4_10
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DOI: https://doi.org/10.1007/978-3-540-39615-4_10
Publisher Name: Springer, Berlin, Heidelberg
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