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Artificial Intelligence
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ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
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BT Technology Journal
BT Technology Journal
An architecture of diversity for commonsense reasoning
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BT Technology Journal
A Multi-layered General Agent Model
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Method for extracting commonsense knowledge
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Information Fusion
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MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
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How can we build systems with ‘commonsense’, the thinking skills that every ordinary person takes for granted? In this paper, we describe a multi-agent architecture for enabling commonsense reasoning which is in development at the Media Lab. The system reasons about the kinds of fundamental entities that show up in nearly all situations — such as people, objects, events, goals, plans and mistakes. The architecture supports multiple layers of reflective reasoning, mechanisms for coherent reasoning across multiple representations, and large-scale control structures called ‘ways to think’. We first describe the main features of our architecture and then discuss its application and evaluation to an artificial life scenario.