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» An Argumentation Based Approach to Multi-Agent Learning
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CORR
2004
Springer
140views Education» more  CORR 2004»
14 years 9 months ago
Integrating Defeasible Argumentation and Machine Learning Techniques
The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...
Sergio Alejandro Gómez, Carlos Iván ...
GECCO
2005
Springer
166views Optimization» more  GECCO 2005»
15 years 3 months ago
The emulation of social institutions as a method of coevolution
This paper offers a novel approach to coevolution based on the sociological theory of symbolic interactionism. It provides a multi-agent computational model along with experimenta...
Deborah Vakas Duong, John J. Grefenstette
ICALT
2005
IEEE
15 years 3 months ago
Designing Web-Based Interactive Learning Environments for Problem-Based Learning
Problem-based learning is a pedagogical strategy that centers learning activities around the investigation and development of solutions to complex and ill-structured authentic pro...
Lin Qiu, Christopher Riesbeck
ACL
2012
12 years 12 months ago
Automatic Event Extraction with Structured Preference Modeling
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...
Wei Lu, Dan Roth
ICALP
1998
Springer
15 years 1 months ago
A Neuroidal Architecture for Cognitive Computation
An architecture is described for designing systems that acquire and manipulate large amounts of unsystematized, or so-called commonsense, knowledge. Its aim is to exploit to the fu...
Leslie G. Valiant