BIOLOGICALLY INSPIRED AUTONOMOUS SYSTEMS
Computation, Cognition and Control
Duke University -- March 4 and 5, 1996
Departments of Electrical and Computer Engineering, Psychology Experimental,
Biomedical Engineering, Neurobiology, and NSF-ERC
Preliminary Program
March 4 -- 8:00- 8:45 Registration
8:45- 9:00 Erol Gelenbe and Nestor Schmajuk -- Welcome
9:00- 9:30 Jean-Arcady Meyer (ENS, Paris)
>From Natural to Artificial Life
9:30- 10:00 Heinz Muehlenbein (GMD, Bonn)
Inspiration from Nature vs. Copying nature. Lessons Learned
from Genetic Algorithms
10:00- 10:50 Stephen Grossberg (Boston U)
Are there Universal Principles of Brain Computation?
10:50-11:30 Discussion and Coffee
11:30-12:00 Anil Nerode (Cornell, Ithaca)
Hybrid Systems as a Modelling Substrate for Biological and Cognitive Systems
12:00- 12:30 Daniel Mange (EPFL, Lausanne)
Von Neumann Revisited: a Turing Machine with Self-Repair and Self-Reproduction Properties
12:30- 1:30 Lunch
Robotics and Autonomous Systems
1:30- 1:50 Lynne Parker (ORNL, Oak Ridge)
>From Social Animals to Teams of Cooperating Robots
1:50-2:10 Akira Ito (Kansai Res. Ctr., Kobe)
How Selfish Agents Learn to Cooperate
2:10-2:30 Bengt Carlsson (Karlskrona U, Sweden)
The War of Attrition Strategy in Multi-Agent Systems
2:30-2:50 Claudio Cesar de Sa (IMA, Brasil)
Architecture for a Mobile Agent
2:50-3:10 A.N. Stafylopatis (NTU, Athens)
Autonomous Vehicle Navigation Using Evolutionary Reinforcement Learning
3:10-3:30 Jun Tani (Sony, Tokyo)
Cognition from Dynamical Systems Perspective: Robot Navigation Learning
3:00-3:30 Discussion and Coffee
Mathematical Models
3:30-3:50 Erol Gelenbe (Duke, NC)
Genetic Algorithms which Learn
3:50-4:10 Petr Lansky (CTS, Prague University), Jean-Pierre Rospars (INRA)
Stochastic Models of the Olfactory System
4:10-4:30 Vladimir Protopopescu (ORNL, Oak Ridge, Tenn.)
Learning Algorithms Based on Finite Samples
4:30-5:00 Ivan Havel (CTS, Prague University) Interaction of Processes at Different Time Scales
5:00-5:30 Boris Stilman (Univ. of Colorado, Denver) Linguistic Geometry: A Cognitive Model for Autonomous Agents
7:00 Dinner
Second Day: March 5, 1996
Neural Control
9:00- 9:30 Kumpati Narendra (Yale, New Haven)
Neural Networks and Control
9:30- 10:00 John G. Taylor (King's College, London)
Global Control Systems of the Brain
10:00- 10:30 Paul Werbos (NSF)
Brain-like Control
10:30- 11:00 Discussion and Coffee
11:00-11:20 Shahid Habib and Mona Zaghloul (NASA and GWU) Concurrent System Identification and Control
11:30-12:00 Harry Klopf (Wright-Patterson AFB)
Drive-Reinforcement Learning and Hierarchical Networks of Control
Systems as Models of Nervous System Function
12:00-1:00 Lunch
Learning
1:00- 1:20 Nestor Schmajuk (Duke, NC)
The Psychology of Robots
1:20- 1:40 John Staddon (Duke, NC)
Habituation: A Non-Associative Learning Process
1:40-2:00 David Rubin (Duke, NC)
A Biologically Inspired Model of Autobiographical Memory
2:00-2:20 Ugur Halici (METU, Ankara)
Reward, Punishment and Expectation in Reinforcement Learning for the RNN
2:20-2:40 Daniel Levine (Univ. of Texas, Arlington)
Analyzing the Executive: Modeling the Functions of Prefrontal Subcortical Loops
2:40-3:00 Discussion and Coffee
Autonomous Systems
3:00-3:15 E. Koerner, U. Koerner (Honda R \& D, Japan) Selforganization of Semantic Constraints for Knowledge Representation in Autonomous Systems: A Model of the Role of an Emotional System in Brains
3:15-3:30 Tetsuya Higuchi et al. (Tsukuba, Japan)
Hardware Evolution at Gate and Function Levels
3:30-3:45 Christopher Landauer (The Aerospace Corp., Virginia) Constructing Autonomous Software Systems
3:45-4:00 Robert E. Smith
Combined Biological Paradigms: A Neural, Genetics-Based Autonomous Systems Strategy
Vision and Imaging
4:00-4:15 Jonathan Marshall (UNC, NC)
Self-organization of Triadic Neural Circuits for Anticipatory Visual Receptive Field Shifts under Intended Eye Movements
4:15-4:30 Didem Gokcay, LiMin Fu (Univ. of Florida, Gainesville) Visualization of Functional Magnetic Resonance Images through Self-Organizing Maps
4:30-4:45 S. Guberman, W. Wojtkowski (Paragraph International, California)
DD algorithm and Automated Image Comprehension
4:45-5:00 E. Koerner, U. Koerner (Honda R \& D, Japan) Neocortex-like Neural Network Architecture for Autonomous Image Understanding
5:00-5:15 E. Oztop (METU, Ankara)
Baseline Extraction on Document Images by Repulsive/Attractive Network
5:15-5:30 Y. Feng, E. Gelenbe (Duke, NC)
Detecting Faint Targets in Strong Clutter: A Neural Approach
Networking Applications
5:30-5:45 Christopher Cramer et al. (Duke, NC)
Adaptive Neural Video Compression
5:45-6:00 Thomas John, Scott Toborg (Southwestern Bel, Austin, Texas)
Neural Network Techniques for Fault and Performance Diagnosis of Broadband Networks
6:15-6:30 Philippe de Wilde (Imperial College, London)
Equilibria of a Communication Network
6:30-6:45 Jonathan W. Mills (Indiana University)
Implementing the McCulloch-Kilmer RETIC Architecture with an Analog VLSI Neural
Field Computer
End of the Workshop
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For further information contact:
Margrid Krueger
Dept. of Electrical and Computer Engineering
Duke University
email: mak@ee.duke.edu
Fax: (919) 660 5293
Tel: (919) 660 5253