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CONTEXT
2001
Springer
15 years 1 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
ATAL
2011
Springer
13 years 9 months ago
The effect of expression of anger and happiness in computer agents on negotiations with humans
There is now considerable evidence in social psychology, economics, and related disciplines that emotion plays an important role in negotiation. For example, humans make greater c...
Celso M. de Melo, Peter Carnevale, Jonathan Gratch
AAAI
2007
14 years 11 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
UIST
2010
ACM
14 years 7 months ago
Gestalt: integrated support for implementation and analysis in machine learning
We present Gestalt, a development environment designed to support the process of applying machine learning. While traditional programming environments focus on source code, we exp...
Kayur Patel, Naomi Bancroft, Steven M. Drucker, Ja...
WECWIS
2005
IEEE
141views ECommerce» more  WECWIS 2005»
15 years 3 months ago
An Adaptive Bilateral Negotiation Model for E-Commerce Settings
This paper studies adaptive bilateral negotiation between software agents in e-commerce environments. Specifically, we assume that the agents are self-interested, the environment...
Vidya Narayanan, Nicholas R. Jennings