This paper focuses on the Noisy Iterated Prisoner's Dilemma, a version of the Iterated Prisoner's Dilemma (IPD) in which there is a nonzero probability that a "coop...
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
We present an axiomatisation for an extension of a temporal epistemic logic with an epistemic “reset” operator defined on the intersection between epistemic and temporal rela...
Presently, there is no satisfactory model for dealing with political autonomy of agents in policy based management. A theory of atomic policy units called ‘promises’ is therefo...
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...