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Lecture Notes in Computer Science
A model of agency that supposes goals are either achieved fully or not achieved at all can be a poor approximation of scenarios arising from the real world. In real domains of application, goals are achieved over time. At any point, a goal has reached a certain level of satisfaction, from nothing to full (completely achieved). This paper presents an abstract framework that can be taken as a basis for representing partial goal satisfaction in an intelligent agent. The richer representationdoi:10.1007/978-3-642-28939-2_3 fatcat:lllpjvxxiratnduc4nfivdunsa