It is difficult to reach optimal outcomes in bilateral negotiations with multiple issues when the agents' preferences and priorities of the issues are not common knowledge. S...
Conventional information fusion architectures are challenged by developments in sensor networks that allow individually-owned (and thereby selfish) sensors to interact and share d...
Alex Rogers, Rajdeep K. Dash, Nicholas R. Jennings...
As users interact with an increasing array of personal computing devices, maintaining consistency of data across those devices becomes significantly more difficult. Typical soluti...
David L. Roberts, Sooraj Bhat, Charles Lee Isbell ...
Modularization is widely recognized as a central issue in software engineering. In this paper we address the issue of modularization in cognitive agent programming languages. We d...
M. Birna van Riemsdijk, Mehdi Dastani, John-Jules ...
Abstract. This paper presents an implementation of (a simplified version of) the cognitive agent programming language 3APL in the Maude term rewriting language. Maude is based on t...
M. Birna van Riemsdijk, Frank S. de Boer, Mehdi Da...
We present a method for transforming the infinite interactive state space of interactive POMDPs (I-POMDPs) into a finite one, thereby enabling the computation of exact solutions. ...
A novel control mechanism was recently introduced based on Extended Markov Tracking (EMT) [9, 10]. In this paper, we present a study of its response to multiple interacting contro...
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
We consider PAC learning of simple cooperative games, in which the coalitions are partitioned into "winning" and "losing" coalitions. We analyze the complexity...