A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Towards Reasoning with Partial Goal Satisfaction in Intelligent Agents
[chapter]
2012
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 representation
doi:10.1007/978-3-642-28939-2_3
fatcat:lllpjvxxiratnduc4nfivdunsa