Artificial Intelligence Research Seminar
Com S 610 Fall 1995 (Focus: Evolutionary Robotics).
Vasant Honavar and the AI Research Group

Meeting Time: Wednesday 3:30pm to 5:00pm

Meeting Place: 217 Atanasoff

Seminar Description

The Artificial Intelligence Research Seminar will meet (once a week for 2 hours) this fall. There will be a brief organizational meeting during the first week of classes to decide on the time and place for the meetings. Please plan on attending the organizational meeting if you are interested in attending the seminar. The seminar will focus primarily on the following topics:

Evolutionary Robotics, Robot Learning and Control, and Autonomous Agent Architectures
Selected Topics in Evolutionary Computation (with emphasis on evolutionary design of neural architectures for robot perception and action)
Selected Topics in Neural Computation (with emphasis on recent work on constructive neural network learning algorithms)

Other topics of interest to the members of the AI research group, such as: automated diagnosis and advisory systems, grammar inference, machine learning, and neural architectures for memory and inference, utility-theoretic approaches to the design of adaptive self-managing communication networks may also be covered.

I will distribute during the organizational meeting, a partial list of research papers to be discussed in the seminar.

Interested students may register for 1-3 credits for ComS 610 (VH) depending on their anticipated level of involvement (sitting in and participating in discussion to reading and presenting selected papers).

For additional details, please contact:

Vasant Honavar
Department of Computer Science
226 Atanasoff Hall
Iowa State University
Ames, IA 50011-1040

voice: 515 294 1098
fax: 515 294 0258
email: honavar@cs.iastate.edu

PS: One or two robots will be joining the AI research group during the fall semester. :-)

Schedule of Talks: TBA

To get on the AI seminar email list, please contact: honavar@iastate.edu

Catalog Description

1-3 Credits. Generally offered every term.

Topics vary from term to term. Recent offerings have focused on current research in Genetic Algorithms, Genetic Programming, Artificial Life, Intelligent Agent Architectures, Neural Networks, Hybrid Intelligent Systems, Machine Learning, Computational Learning Theory, Inductive Logic Programming, Language Learning, Parallel Architectures and Algorithms for Artificial Intelligence, Applications in Communications Network Management, Scientific Discovery, VLSI design, Parallel and Distributed Computing, and Cognitive and Neural Modelling.