This paper introduces a new design method for multi-agent systems (MAS) that incorporate logic programming. The DigitalFriend is an example of a MAS with a built-in logic language...
Steve Goschnick, Sandrine Balbo, Leon Sterling, Ch...
This paper proposes to use cognitive multi-agent based simulation to facilitate human team formation decision processes. The models of organizational actors are acquired by a data...
In this paper we explore whether an auctioneer/buyer may benefit from introducing his transformability relationships (some goods can be transformed into others at a transformation...
Deciding what to branch on at each node is a key element of search algorithms. We present four families of methods for selecting what question to branch on. They are all informati...
We address the problem of navigating from an initial node to a goal node by a group of agents in an unknown physical environment. In such environments mobile agents must physicall...
We describe an agent-based commentary system for computer games which produces real-time and post-game commentary for spectators. Our system adopts an embodied approach in which r...
We contribute Policy Reuse as a technique to improve a reinforcement learning agent with guidance from past learned similar policies. Our method relies on using the past policies ...
In this paper, we consider competition between sellers offering similar items in concurrent online auctions, where each seller must set its individual auction parameters (such as ...
Enrico H. Gerding, Alex Rogers, Rajdeep K. Dash, N...
Team decision making under stress involving multiple contexts is an extremely challenging issue faced by various real world application domains. This research is targeted at coupl...
Xiaocong Fan, Bingjun Sun, Shuang Sun, Michael D. ...