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» Building Explainable Artificial Intelligence Systems
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AI
2006
Springer
15 years 6 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...
ISI
2007
Springer
16 years 3 days 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 11 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 11 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 10 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