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Human-Agent Collaboration: A Goal-Based BDI Approach

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Agents and Multi-Agent Systems: Technologies and Applications 2018 (KES-AMSTA-18 2018)

Abstract

The Belief-Desire-Intention (BDI) model of agency has been a popular choice for the modelling of goal-based behaviour for both individual agents and more recently, teams of agents. Numerous frameworks have been developed since the model was first proposed in the early 1980s. However, while the more recent frameworks support a delegative model of agent/agent and human/agent collaboration, no frameworks support a general model of collaboration. Given the importance of collaboration in the development of practical semi-autonomous agent applications, we consider this to constitute a major limitation of traditional BDI frameworks. In this paper, we present GORITE, a novel BDI framework that by employing explicit goal representations, overcomes many of the limitations of traditional frameworks. In terms of human/agent collaboration, key requirements are identified and through the use of a representative but simple example, the ability of GORITE to address those requirements is demonstrated.

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Correspondence to Dennis Jarvis .

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Noorunnisa, S., Jarvis, D., Jarvis, J., Watson, M. (2019). Human-Agent Collaboration: A Goal-Based BDI Approach. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L., Vlacic, L., Šperka, R. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2018. KES-AMSTA-18 2018. Smart Innovation, Systems and Technologies, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-319-92031-3_1

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