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AAAI
2010
13 years 9 months ago
2010
Understanding conceptual change is an important problem in modeling human cognition and in making integrated AI systems that can learn autonomously. This paper describes a model o...
30
Voted
SCAI
2008
13 years 9 months ago
2008
The ability to give explanations for its reasoning and behaviour is a core capability of an intelligent system. There are a number of different goals a user can have towards such e...
RR
2007
Springer
14 years 1 months ago
2007
Springer
Trust is a vital feature for the Semantic Web: If users (humans and agents) are to use and integrate system answers, they must trust them. Thus, systems should be able to explain t...
LPNMR
2011
Springer
12 years 10 months ago
2011
Springer
Abstract. Multi-context systems are a formalism to interlink decentralized and heterogeneous knowledge based systems (contexts), which interact via (possibly nonmonotonic) bridge r...
KR
2010
Springer
14 years 9 days ago
2010
Springer
We provide two approaches for explaining inconsistency in multi-context systems, where decentralized and heterogeneous system parts interact via nonmonotonic bridge rules. Inconsi...