This paper takes the first steps towards designing incentive compatible mechanisms for hierarchical decision making problems involving selfish agents. We call these Stackelberg p...
SuperDuperWalker is a software-based framework for experiments on the evolution of locomotion. It simulates the behavior of evolving agents in a 3D physical simulation environment ...
Lee Spector, Jon Klein, Kyle Harrington, Raymond C...
We propose ontological blending as a new method for `creatively' combining ontologies. In contrast to other combination techniques that aim at integrating or assimilating cate...
Joana Hois, Oliver Kutz, Till Mossakowski, John A....
A vehicular ad hoc network (VANET) is a type of mobile network whose nodes are traveling cars which communicate with one another using short-range wireless communications. These ca...
Oscar Urra, Sergio Ilarri, Thierry Delot, Eduardo ...
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...