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» Cognitive Primitives for Automated Learning
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IEEEICCI
2003
IEEE
14 years 19 days ago
Conceptual Framework for Interactive Ontology Building
Abstract— An ontology is a formal language adequately representing the knowledge used for reasoning in a specific environment. When contradictions arise and make ontologies inad...
Jean Sallantin, Jacques Divol, Patrice Duroux
AGENTS
2001
Springer
13 years 12 months ago
Hierarchical multi-agent reinforcement learning
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
PODC
2003
ACM
14 years 18 days ago
Oblivious signature-based envelope
We propose a new cryptographic primitive called oblivious signaturebased envelope (OSBE). Informally, an OSBE scheme enables a sender to send an envelope (encrypted message) to a ...
Ninghui Li, Wenliang Du, Dan Boneh
AIED
2005
Springer
14 years 27 days ago
Tradeoff analysis between knowledge assessment approaches
Abstract: The problem of modeling and assessing an individual’s ability level is central to learning environments. Numerous approaches exists to this end. Computer Adaptive Testi...
Michel Desmarais, Shunkai Fu, Xiaoming Pu
EWCBR
2004
Springer
14 years 22 days ago
Explanations and Case-Based Reasoning: Foundational Issues
By design, Case-Based Reasoning (CBR) systems do not need deep general knowledge. In contrast to (rule-based) expert systems, CBR systems can already be used with just some initial...
Thomas Roth-Berghofer