Recent research has shown that virtual agents expressing empathic emotions toward users have the potentiality to enhance human-machine interaction. To identify under which circums...
While talking, people may move heavily their arms around, remain expressionless, or even display subtle facial movements... These differences may arise from personality, cultural,...
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
We explore the problem of specification and verification of compliance in agent based Web service compositions. We use the formalism of temporal-epistemic logic suitably extended ...
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...
Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Wh...
We present ERIC, an affective embodied agent for realtime commentary in many domains. The underlying architecture is rulebased, generic, and lightweight
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
Language alignment is something that happens automatically in dialogues between human speakers. The ability to align is expected to increase the believability of virtual dialogue ...