Attempt 1:
... the rough area is "distributed artificial intelligence". The concept of "artificial intelligence" (AI) is to make smart computer programs. Within AI is the concept of "agents" - autonomous, proactive, reactive computer programs - that, given a goal or task, should be able to go off, work out how best to achieve it and achieve it. I look at a specific problem (can explain upon request) making use of "multi-agent systems", where multiple "agents" have to collaborate/cooperate/dialogue (can elaborate upon request) to achieve their individual goals, and as a result the "society" of agents also benefits...
Attempt 2:
... the rough area is "distributed artificial intelligence", or, more specifically "multi-agent systems". An "agent" is an "autonomous", "proactive", "reactive" computer program - that, given a "goal" or "task", should be able to go off, work out how best to achieve it and achieve it. I model my agents, their internal reasoning/decision-making mechanisms, using a form of logic based on "argumentation", and the interactions between the agents by means of communication protocols termed "dialogues". Concretely, I am trying to apply my framework to a specific problem (the "resource reallocation problem" - can explain upon request) where multiple agents have to collaborate/cooperate/dialogue to achieve their individual goals, and as a result the "society" of agents also benefits...
I thought I was getting better at explaining my PhD topic. From the responses I received, apparently not!
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