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» Explanations and Case-Based Reasoning in Ambient Intelligent...
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FLAIRS
2004
15 years 1 months ago
Identifying Critical Factors in Case-Based Prediction
A reversible outcome is one that can be changed. For example, the failure of an ongoing project may be avoided if certain actions are taken, while an outcome such as the path of a...
Rosina Weber, William M. Evanco, Michael Waller, J...
EWCBR
2004
Springer
15 years 5 months ago
Explanation Oriented Retrieval
This paper is based on the observation that the nearest neighbour in a case-based prediction system may not be the best case to explain a prediction. This observation is based on t...
Dónal Doyle, Padraig Cunningham, Derek G. B...
98
Voted
MM
2005
ACM
169views Multimedia» more  MM 2005»
15 years 6 months ago
An ambient intelligence platform for physical play
This paper describes an ambient intelligent prototype known as socio-ec(h)o. socio-ec(h)o explores the design and implementation of a system for sensing and display, user modeling...
Ron Wakkary, Marek Hatala, Robb Lovell, Milena Dro...
94
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AAAI
2010
15 years 1 months ago
An Integrated Systems Approach to Explanation-Based Conceptual Change
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...
Scott Friedman, Kenneth D. Forbus
111
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ICCBR
2009
Springer
15 years 7 months ago
S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Brandon Rohrer