No subject

 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 at ee.duke.edu
Fax: (919) 660 5293
Tel: (919) 660 5253