Robert Bisson

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Agents in a multi-agent system do not act in a vacuum. The outcome of their efforts depends on the environment in which they seek to act, and in particular on the efforts of other agents with whom they share the environment. We review previous efforts to address this problem, including active environments, concurrency modeling, recursive reasoning, and(More)
In stressful situations such as combat, emotion is at least as important as rational analysis in determining behavior. DETT (Disposition, Emotion, Trigger, Tendency) is a model of emotion for situated agents that captures the essential features of the OCC (Ortony, Clore, Collins) model in a computationally efficient framework. We motivate and describe this(More)
Stigmergy is usually used to model semantically simple problems such as routing. It can be applied to more complex problems by encoding them in the stigmergic environment. We demonstrate this approach by showing how stigmergic agents can plan over a hierarchical task network, specifically a resource-oriented dialect of the TAEMS language. 1 Introduction 1(More)
Swarming agents often operate in benign geographic topologies that let them explore alternative trajectories with minor variations that the agent dynamics then amplify for improved performance. In this paper we demonstrate the deployment of swarming agents in the non-metric and discontinuous topology of a process graph. We align our research with(More)
Stigmergy is usually associated with semantically simple problems such as routing. It can be applied to more complex problems by encoding them in the environment through which stigmergic agents interact. We demonstrate this approach by showing how stigmergic agents can plan over a hierarchical task network, specifically a resource-oriented dialect of the(More)
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