We are designing a computational architecture for a "learning economy" based on personal software agents who represent users in a virtual society and assist them in find...
In this paper we propose a model for human learning and decision making in environments of repeated Cliff-Edge (CE) interactions. In CE environments, which include common daily in...
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...
Table 1 shows the payoff to player one. The same matrix also holds for player two. Player one can gain the maximum 5 points (T = 5) by defection if player two cooperates. However,...