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AgentSpeak is a logic-based programming language, based on the Belief-Desire-Intention (BDI) paradigm, suitable for building complex agent-based systems. To limit the computational complexity, agents in AgentSpeak rely on a plan library to reduce the planning problem to the much simpler problem of plan selection. However, such a plan library is often inadequate when an agent is situated in an uncertain environment. In this paper, we propose the AgentSpeak+ framework, which extends AgentSpeak with a mechanism for probabilistic planning. The beliefs of an AgentSpeak+ agent are represented using epistemic states to allow an agent to reason about its uncertain observations and the uncertain effects of its actions. Each epistemic state consists of a POMDP, used to encode the agent’s knowledge of the environment, and its associated probability distribution (or belief state). In addition, the POMDP is used to select the optimal actions for achieving a given goal, even when facing uncertainty.
|Number of pages||6|
|Publication status||Published - Nov 2014|
|Event||The 4th International Workshop on Combinations of Intelligent Methods and Applications - Limassol, Cyprus|
Duration: 11 Nov 2014 → …
|Workshop||The 4th International Workshop on Combinations of Intelligent Methods and Applications|
|Period||11/11/2014 → …|
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