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KCAP
2003
ACM
15 years 11 months ago
Learner: a system for acquiring commonsense knowledge by analogy
One of the long-term goals of Artificial Intelligence is construction of a machine that is capable of reasoning about the everyday world the way humans are. In this paper, I fir...
Timothy Chklovski
GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
16 years 13 days ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
ECAI
2006
Springer
15 years 10 months ago
Background Default Knowledge and Causality Ascriptions
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on background...
Jean-François Bonnefon, Rui Da Silva Neves,...
ICEIS
2000
IEEE
15 years 10 months ago
Syntax-Directed Translation Schemes for Multi-Agent Systems Conversation Modelling
: In modern organisations the monolithic information systems of the past are being gradually replaced by networked systems, enabling distributed computing often based on multi-agen...
Ana L. N. Fred, Joaquim Filipe
COOPIS
2003
IEEE
15 years 11 months ago
Flora-2: A Rule-Based Knowledge Representation and Inference Infrastructure for the Semantic Web
Abstract. Flora-2 is a rule-based object-oriented knowledge base system designed for a variety of automated tasks on the Semantic Web, ranging from meta-data management to informat...
Guizhen Yang, Michael Kifer, Chang Zhao