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» Building Explainable Artificial Intelligence Systems
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AI
2006
Springer
14 years 10 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
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ISI
2007
Springer
15 years 4 months ago
Making Sense of VAST Data
: We view the task of sensemaking in intelligence as that of abducing a story whose plot explains the current data and makes verifiable predictions about the future and the past. W...
Summer Adams, Ashok K. Goel
AUSAI
2004
Springer
15 years 3 months ago
A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem
Abstract. The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a l...
Haipeng Guo, William H. Hsu
JELIA
2004
Springer
15 years 3 months ago
Modelling Communicating Agents in Timed Reasoning Logics
Practical reasoners are resource-bounded—in particular they require time to derive consequences of their knowledge. Building on the Timed Reasoning Logics (TRL) framework introdu...
Natasha Alechina, Brian Logan, Mark Whitsey
ICTAI
2000
IEEE
15 years 2 months ago
Self-optimising CBR retrieval
One reason why Case-Based Reasoning (CBR) has become popular is because it reduces development cost compared to rule-based expert systems. Still, the knowledge engineering effort ...
Jacek Jarmulak, Susan Craw, Ray Rowe