Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Abstract— We present an approach for the dynamic assignment and reassignment of a large team of homogeneous robotic agents to multiple locations with applications to search and r...
In this paper we will examine two main aspects of trust dynamics: a) How direct experiences involving trust, with their successes or failures, influence the future trust of an age...
Abstract--The capacity for realtime synchronization and coordination is a common ability among trained musicians performing a music score that presents an interesting challenge for...
Decision-support requires the gathering and presentation of information, but is subject to many kinds of resource restrictions (e.g. cost, length, time). Individual users differ n...