Reactive behaviour in Belief Desire Intention (BDI)-based models and architectures adopted in agent programming is typically specified in terms of reactive plans not bound to any specific goal. In this paper, we present and discuss an extension of the plan model used in BDI programming languages in which goal-based plans encapsulate both proactive and reactive behaviour. This brings important benefits both to the practice of agent programming and in supporting agent reasoning at runtime. The approach is evaluated through concrete implementations based on two existing agent programming platforms, namely Jason and ASTRA.
Bordini R.H., Collier R., Hubner J.F., Ricci A. (2020). Encapsulating reactive behaviour in goal-based plans for programming BDI agents. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
Encapsulating reactive behaviour in goal-based plans for programming BDI agents
Ricci A.
2020
Abstract
Reactive behaviour in Belief Desire Intention (BDI)-based models and architectures adopted in agent programming is typically specified in terms of reactive plans not bound to any specific goal. In this paper, we present and discuss an extension of the plan model used in BDI programming languages in which goal-based plans encapsulate both proactive and reactive behaviour. This brings important benefits both to the practice of agent programming and in supporting agent reasoning at runtime. The approach is evaluated through concrete implementations based on two existing agent programming platforms, namely Jason and ASTRA.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
