This paper proposes an efficient agent for competing in Cliff Edge (CE) environments, such as sealed-bid auctions, dynamic pricing and the ultimatum game. The agent competes in on...
This paper extends earlier work in the use of ‘Agent-based Computational Economics’ (ACE) for modelling the development of co-operation between firms. Inter-firm relations hav...
We present mechanisms, architectures, and an implementation addressing challenges with mobile opportunistic commerce centering on markets and mechanisms that support the procureme...
We present a novel algorithm for computing the optimal winning bids in a combinatorial auction (CA), that is, an auction in which bidders bid for bundles of goods. All previously ...
Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz
Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have ...