We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...
Intelligent systems are often called upon to form plans that direct their own or other agents' activities. For these systems, the ability to describe plans to people in natur...
Yeap [42] argued that an important basis for computing a cognitive map is the ability to compute and recognise local environments. Although he has demonstrated how such local envi...
While terminology and some concepts of behavior-based robotics have become widespread, the central ideas are often lost as researchers try to scale behavior to higher levels of co...
Multi-agent domains consisting of teams of agents that need to collaborate in an adversarial environment offer challengingresearch opportunities. In this article, we introduce per...
Cooperation among autonomous agents has been discussed in the DAI community for several years. Papers about cooperation 6,45 , negotiation 33 , distributed planning 5 , and coalit...
Coalition formation is a key topic in multiagent systems. One may prefer a coalition structure that maximizes the sum of the values of the coalitions, but often the number of coal...
Tuomas Sandholm, Kate Larson, Martin Andersson, On...
Sage is a robot that has been installed at the Carnegie Museum of Natural History as a full-time autonomous member of the staff. Its goal is to provide educational content to muse...