Dr John Levine is an Informatics Research Fellow working on evolutionary computation and AI planning systems. His current research program consists of applying evolutionary search and learning techniques to AI planning problems, applying evolutionary and adaptive computation techniques to real-world problems, and mixed-initiative systems for planning and optimisation. He has an MA in Computer Science, an MPhil in Computer Speech and Language Processing, and a PhD in Computer Science, all from the University of Cambridge. He is a member of the EPSRC Review College 2003-05, a member of the review board of Applied Intelligence Journal and was the chair of the PLANSIG 2001 conference on AI Planning and Scheduling systems. He has taught a wide range of undergraduate, postgraduate and commercial courses in Artificial Intelligence, including Genetic Algorithms and Genetic Programming, Common Lisp, Planning and Search, Knowledge Representation, Fuzzy Logic and Practical Reasoning Methodologies. |
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Learning Action Strategies for Planning
Domains using Genetic Programming
Inferring Gene Networks from Microarray Data
using a Hybrid GA
Ant Colony Optimization and Aggressive Local
Search applied to Bin Packing and Cutting Stock Problems
Modern Planning Techniques PLANET: European Network of Excellence in AI Planning
EvoNet: European Network of Excellence in Evolutionary Computing The Coalition Agents Experiment (CoAX) The O-Plan Project The GhostWriter Project The CORECT Project The IDAS Project
Some useful links:
Artificial Intelligence Applications Institute |