Sciweavers

ATAL
2008
Springer
13 years 6 months ago
The identification of users by relational agents
Virtual agents designed to establish relationships with more than one user must be able to identify and distinguish among those users with high reliability. We descr...
Daniel Schulman, Mayur Sharma, Timothy W. Bickmore
ATAL
2008
Springer
13 years 6 months ago
Cost-based BDI plan selection for change propagation
Software maintenance is responsible for as much as two thirds of the cost of any software, and is consequently an important research area. In this paper we focus on the change pro...
Khanh Hoa Dam, Michael Winikoff
ATAL
2008
Springer
13 years 6 months ago
Does the contingency of agents' nonverbal feedback affect users' social anxiety?
We explored the association between users' social anxiety and the interactional fidelity of an agent (also referred to as a virtual human), specifically addressing whether th...
Sin-Hwa Kang, Jonathan Gratch, Ning Wang, James H....
ATAL
2008
Springer
13 years 6 months ago
SmartBody: behavior realization for embodied conversational agents
Researchers demand much from their embodied conversational agents (ECAs), requiring them to be both life-like, as well as responsive to events in an interactive setting. We find t...
Marcus Thiébaux, Stacy Marsella, Andrew N. ...
ATAL
2008
Springer
13 years 6 months ago
Towards background emotion modeling for embodied virtual agents
For the realistic simulation of embodied agents we need a model of emotion that represents both structural and dynamic aspects of emotional phenomena to serve as background suppor...
Luís Morgado, Graça Gaspar
ATAL
2008
Springer
13 years 6 months ago
Modeling how humans reason about others with partial information
Computer agents participate in many collaborative and competitive multiagent domains in which humans make decisions. For computer agents to interact successfully with people in su...
Sevan G. Ficici, Avi Pfeffer
ATAL
2008
Springer
13 years 6 months ago
Analysis of an evolutionary reinforcement learning method in a multiagent domain
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassa...
ATAL
2008
Springer
13 years 6 months ago
Flexible service provisioning with advance agreements
In this paper, we develop a novel algorithm that allows service consumer agents to automatically select and provision service provider agents for their workflows in highly dynamic...
Sebastian Stein, Nicholas R. Jennings, Terry R. Pa...
ATAL
2008
Springer
13 years 6 months ago
Sigma point policy iteration
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
Michael H. Bowling, Alborz Geramifard, David Winga...
ATAL
2008
Springer
13 years 6 months ago
An agent-oriented approach to support change propagation in software evolution
Software maintenance and evolution is arguably a lengthy and expensive phase in the life cycle of a software system. A critical issue at this phase is change propagation: given a ...
Khanh Hoa Dam