An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
In this paper, we describe a novel bidding strategy that autonomous trading agents can use to participate in Continuous Double Auctions (CDAs). Our strategy is based on both short...
Perukrishnen Vytelingum, Dave Cliff, Nicholas R. J...
This paper proposes a multiagent based virtual community as a new means to support pervasive computing services. We give a conceptual definition of the concept of Place-Based Virt...
Tuan Nguyen, Seng Wai Loke, Torab Torabi, Hongen L...
In presence of reconfigurable environments, such as AmI systems, the orchestration and coordination of more devices involved in the execution of services requested by users is of...