Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Artificial Intelligence
Regularization theory and neural networks architectures
Neural Computation
A maximum entropy approach to natural language processing
Computational Linguistics
A tutorial on learning with Bayesian networks
Learning in graphical models
Being There: Putting Brain, Body, and World Together Again
Being There: Putting Brain, Body, and World Together Again
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Emotion and sociable humanoid robots
International Journal of Human-Computer Studies - Application of affective computing in humanComputer interaction
The Development of Gaze Following as a Bayesian Systems Identification Problem
ICDL '02 Proceedings of the 2nd International Conference on Development and Learning
Machine Learning: Discriminative and Generative (Kluwer International Series in Engineering and Computer Science)
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Paper: Modeling by shortest data description
Automatica (Journal of IFAC)
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A new trend in Cognitive Science is the use of artificial agents and systems to investigate learning and development of complex organisms in natural environments. This work, in contrast with traditional AI work, takes into account principles of neural development, problems of embodiment, and complexities of the environment. Current and future promises and challenges for this approach are defined and outlined.