Abstract
We present a unifying perspective of the individual control layers of the agent architecture InteRRaP. InteRRaP aims at modeling autonomous resource-bounded agents that interact with each other in dynamic multiagent environments. InteRRaP implements a pragmatic Belief-Desire-Intention (BDI) architecture, where the agent's mental state is distributed over a set of layers. Based on the processes of situation recognition and planning and scheduling, a uniform description for each control layer — the behavior-based layer, the local planning layer, and the cooperative planning layer — is provided. We demonstrate various options for the design of interacting agents within this framework in an interacting robots application. The performance of different agent types in a multiagent environment is experimentally evaluated.
The work presented in this paper has been supported by the German Ministry of Research and Technology under grant ITW9104
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Fischer, K., Müller, J.P., Pischel, M. (1996). A pragmatic BDI architecture. In: Wooldridge, M., Müller, J.P., Tambe, M. (eds) Intelligent Agents II Agent Theories, Architectures, and Languages. ATAL 1995. Lecture Notes in Computer Science, vol 1037. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3540608052_68
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DOI: https://doi.org/10.1007/3540608052_68
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