Artificial Intelligence: Machine Learning: Research Groups: Page 3

Focuses on theory of logic and learning, and applied intelligent systems. Methodolgies range from traditional knowledge-based systems and neural networks to machine learning, agents, and evolutionary computation.

Knowledge-based concepts, tools, and methods, and their applications, including: fuzzy systems, neural networks, genetic algorithms, machine learning, and natural language processing.

Research on decision theory, neural networks, computational biology, computational geometry, theoretical computer science, on-line learning algorithms, computational learning theory, reinforcement learning.

Uses partially observable Markov decision processes (POMDPs) as a basic framework for multi-agent planning

ESPRIT working group on Neural and Computational Learning Theory. Partners, projects, publications archive.