Agent operates on the basis of knowledge (e.g., belief-desire-intention agent model [13 17]).
The Belief-Desire-Intention agent, originally developed by Bratman [14], is believed to model decision-making process humans use in everyday life [15].
In this article, we propose a mechanism, including automated tool support, for early phase defect detection by comparing the plan structures of a Belief-Desire-Intention agent design against the requirements models and interaction protocols.
Instead of positing that in order to form such an intention an agent has to be certain about their partner's intentions, Bratman contends that an agent is typically in a position to reliably predict whether the other will come to form a corresponding intention.
The Beliefs, Desires and Intention (BDI) agent architecture is probably the most mature model for many industrial applications in today's context.
To this end, this research focuses on creating innovative techniques for developing accurate crowd simulations, where Belief-Desire-Intention (BDI) agent framework is employed to build each person's individual actions and the interactions between them.
We present a formalism for representing the formation of intentions by agents engaged in cooperative activity.
Notice, however, that Bratman's mesh theory, unlike Frankfurt's, commits Bratman to an historical thesis, since for him, what is at the core of his theory of morally responsible agency is a planning theory of intentions in which an agent's intentions at a time are accounted for in terms of her trans-temporal relations to past activities and future commitments.
In particular, Bratman makes a case for the incorporation of the notion of intention for describing agent behavior.
Proponents of noncausal theories generally go for one or another of two alternatives, appealing either to the content of an intention that the agent is said to have concurrently with performing the action in question, or to the intentional content of the action itself.
