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TIME, ACTION‐TYPES, AND CAUSATION: AN INTEGRATED ANALYSIS
Author(s) -
Terenziani Paolo,
Torasso Pietro
Publication year - 1995
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.1467-8640.1995.tb00047.x
Subject(s) - causation , computer science , action (physics) , formalism (music) , cognitive psychology , artificial intelligence , psychology , epistemology , art , musical , visual arts , philosophy , physics , quantum mechanics
In this paper we focus on the temporal constraints between causes and effects of causal relations, and, to deal correctly with such relations, we stress the importance of analyzing the action‐types (aspectual category) of causes and effects. In particular, we propose a domain‐independent ontology in which the distinctions between action‐types (e.g., the distinction between durative and punctual situations) are dealt with, and different types of causal relations are distinguished, on the basis of (i) the temporal constraints they impose between causes and effects (these constraints are expressed in a temporal formalism that extends Vilain's point interval algebra) and (ii) the action‐types of their causes and effects. Our ontology allows one to capture precisely the temporal constraints imposed by causation and the action‐types of the related situations. Moreover, in case the user has no accurate knowledge about the action‐types of some situations and/or the types of some causal connections to be dealt with, our formalism allows the user to leave the descriptions underspecified, and more specific pieces of information may be inferred. Inferences provide a flow of information about action‐types to information about temporal constraints in causation and vice versa, and demonstrate that a deep integration of time and causation is provided also at the inferential level.

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