Towards a general theory of action and time
Artificial Intelligence
A first-order conditional logic for prototypical properties
Artificial Intelligence
Nonmonotonic logic and temporal projection
Artificial Intelligence
Reasoning about change: time and causation from the standpoint of artificial intelligence
Reasoning about change: time and causation from the standpoint of artificial intelligence
A simple solution to the Yale shooting problem
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Annals of Mathematics and Artificial Intelligence
Ramification in the Normative Method of Causality
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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In this paper we present a causal theory based on aninterventionist conception of causality, i.e., a preference toselect causes among a set of actions which an agent has the abilityto perform or not to perform (free will). The most interestingproposals encountered in the literature, in nonmonotonic reasoning,all revolve around the ordered notion of similarity, abnormality,preference etc\ldots but do not provide a full-fledgedsolution to the problem of the concrete definition of this order. Inour approach we relate the notion of action to norms (what isnormally the case when an action is undertaken, what is normally theoutcome of that action) and considering reasonable assumptions, weshow the existence and uniqueness of the set of voluntary causes foran observed effect (explanation problem). Moreover, the approach advocated in this paper handles ramifications correctly.