Knowledge, timed precedence and clocks (preliminary report)
PODC '94 Proceedings of the thirteenth annual ACM symposium on Principles of distributed computing
Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Knowledge and the logic of local propositions
TARK '98 Proceedings of the 7th conference on Theoretical aspects of rationality and knowledge
Causes and explanations: a structural-model approach-part II: explanations
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
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IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
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One of our most resilient intuitions is that causality is a precondition for information flow: where there are no causal connections, we expect there to be no flow of information. In this paper, we study this idea as it arises in the computer science notion of systems architectures, which are high level designs that describe the coarse structure of a system in terms of its high-level components and their permitted causal interactions.