Allocating scarce resources among agents to maximize global utility is, in general, computationally challenging. We focus on problems where resources enable agents to execute acti...
This paper introduces “micro-scalability” as a novel design objective for social reasoning architectures operating in open multiagent systems. Microscalability is based on the ...
Abstract. Recent advances in peer to peer (P2P) search algorithms have presented viable structured and unstructured approaches for full-text search. We posit that these existing ap...
Avi Rosenfeld, Claudia V. Goldman, Gal A. Kaminka,...
Graph processes are used in order to formalize the relation between global requirement specifications of multi-agent systems by means of message sequence charts, and implementatio...
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...