Integrated Approach to Intelligent Systems
Research Projects

We have divided the proposed research into eight topic areas. Section 1 contains the overview of our design paradigm for multi-agent hybrid systems, section 2 describes the approaches to the design of hybrid control systems, and section 3 contains the approaches and software environments for verification of hybrid systems. Section 4 contains a description of the program on wide area sensing, hierarchical vision and cellular neural network implementations of low level vision, and section 5 discusses biological neural network models for data compression in a hierarchy. Section 6 discusses our approaches for designing intelligent (single) agents for complex, uncertain and changing environments. We emphasize that these designs are also manifest characteristics of hierarchical sensory motor control. Section 7 is the program of research in learning and adaptation at all levels. The use of soft computing tools for designing intelligent interfaces for intelligence augmentation of human centered systems is discussed in Section 8.

1. From Architectures to Emergent Behavior: Tools for the Specification, Design and Simulation of Multi-Agent Hybrid Systems
   
   
2. Hybrid Control System Design Methodologies
   
   
3. Hybrid Control Verification Methodologies and Tools
   
   
4. Perception Hierarchies
   
   
5. Biological Neural Network Models for Data Compression and Classification
   
   
6. Intelligent Agents for Complex, Uncertain Environments
   
   
7. Research in Adaptation and Learning
   
   
8. Soft Computing Approaches for Intelligence Augmentation of Human Centered Systems

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