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...
The current integrated developments in network and computing give rise to a technical infrastructure for the information society which one may variously circumscribe by terms such...
An ad-hoc network comprises mobile nodes that cooperate with each other using wireless connections to route both data and control packets within the network. As the low transmissi...
For successful coordination and cooperation in a multiagent system, participants need to establish a sufficiently accurate awareness of the current situation. Awareness is underst...
We present a conceptual framework for location-aware community systems and results from two studies of how sociallydefined places influence people's information sharing and c...
Quentin Jones, Sukeshini A. Grandhi, Steve Whittak...