Recent work in multi-agent intention scheduling has shown that enabling agents to predict
the actions of other agents when choosing their own actions may be beneficial. However …

We propose a new approach to intention progression in multi-agent settings where other
agents are effectively black boxes. That is, while their goals are known, the precise …

Agents have been applied to a wide variety of fields, including power systems and
spacecraft. Belief-Desire-Intention (BDI) agents, as one of the most widely used and …

Abstract The Belief-Desire-Intention (BDI) approach to agent development has formed the
basis for much of the research on architectures for autonomous agents. A key advantage of …

Multi-agent systems is an evolving discipline that encompasses many different branches of
research. The long-standing Agents at Aberdeen (A 3) group undertakes research across …

In Belief-Desire-Intention-based (BDI) agents [14] the behaviour of an agent is specified in
terms of beliefs, goals, and plans. Beliefs represent the agent's information about the …

For an agent in a multi-agent environment, it is often beneficial to be able to predict what
other agents will do next when deciding how to act. Previous work in multi-agent intention …

In recent work, a generalised form of characteristic function games has been introduced,
where certain sequences of coalition structures (and not a single one) are considered as …

Expressing attack-defence trees in a multiagent setting allows for studying a new aspect of
security scenarios, namely, how the number of agents and their task assignment impact the …

Expressing attack-defence trees in a multi-agent setting allows for studying a new aspect of
security scenarios, namely how the number of agents and their task assignment impact the …