A key problem when forming effective coalitions of autonomous agents is determining the best groupings, or the optimal coalition structure, to select to achieve some goal. To this...
Talal Rahwan, Sarvapali D. Ramchurn, Viet Dung Dan...
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
—We present a first effort to integrate NLP with ASP for autonomous agents, especially service robots, communicating with humans. We implemented a prototype system and tested it...
Xiaoping Chen, Jiehui Jiang, Jianmin Ji, Guoqiang ...
Applications of learning to autonomous agents (simulated or real) have often been restricted to learning a mapping from perceived state of the world to the next action to take. Of...
Conventional mechanisms for electronic commerce provide strong means for securing transfer of funds, and for ensuring such things as authenticity and non-repudiation. But they gene...
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
In this paper we propose the use of an interactive multi-agent system for the study of rhythm evolution. The aim of the model proposed here is to show to what extent new rhythms em...
The theoretical guarantees provided by voting have distinguished it as a prominent method of preference aggregation among autonomous agents. However, unlike humans, agents usually ...
Abstract. This paper proposes a novel method to characterize the performance of autonomous agents in the Trading Agent Competition for Supply Chain Management (TAC-SCM). We create ...
Brett Borghetti, Eric Sodomka, Maria L. Gini, John...
The conceptual architecture of the access control system described here is based on automatic distributed acquisition and processing of knowledge about users and devices in comput...