Goal-Oriented Coordination with Cumulative Goals
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Multi-actor coordination is in general a complex problem, with inefficient and brittle solutions. This paper addresses the problem of abstract coordination of multiple actors at the goal-level, which often enables us to avoid these problems. Goals in multi-actor settings often rely on the cumulative efforts of a group of distinct actors whose individual, measurable contributions accumulate to lead to the fulfillment of the goal. We formalize these as cumulative goals in a mathematical framework that permits us to measure individual actor contributions on a variety of scales (including qualitative ones). We view these as softgoals, a conception general enough to incorporate the more traditional hardgoals. Within this mathematical setting, we address the coordination problem as one of deciding which actor is allocated to fulfilling each goal of interest (and the associated problem of goal model maintenance). We also report some empirical evaluation results.
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