Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
Abstract. Population of simulated agents controlled by dynamical neural networks are trained by artificial evolution to access linguistic instructions and to execute them by indic...
Before the powerful agent programming paradigm can be adopted in commercial or industrial settings, a complete environment, similar to that for other programming languages, must b...
John R. Graham, Daniel McHugh, Michael Mersic, Fos...
Many day-to-day tasks require negotiation, mostly under conditions of incomplete information. In particular, the opponent's exact tradeoff between different offers is usually ...
Raz Lin, Sarit Kraus, Jonathan Wilkenfeld, James B...
We present an argument-based qualitative decision-making framework in which the social values promoted or demoted by alternative action-options are explicitly represented. We show...
Trevor J. M. Bench-Capon, Katie Atkinson, Peter Mc...