A concurrent object-oriented framework for the simulation of neural networks
OOPSLA/ECOOP '90 Proceedings of the workshop on Object-based concurrent programming
Cognitive Architecture for Robust Adaptive Control of Robots in a Team
Journal of Intelligent and Robotic Systems
Pattern Recognition: Neural Networks in Perspective
IEEE Expert: Intelligent Systems and Their Applications
The complexity of the brain: structural, functional, and dynamic modules
Emergent neural computational architectures based on neuroscience
IAAI '90 Proceedings of the The Second Conference on Innovative Applications of Artificial Intelligence
The Complexity of the Brain: Structural, Functional, and Dynamic Modules
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
The Method of Levels of Abstraction
Minds and Machines
Schema-Based Design and the AKIRA Schema Language: An Overview
Anticipatory Behavior in Adaptive Learning Systems
Transformations and somatotopy in perceiving systems
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Artificial Intelligence
Sensorimotor transformations in the worlds of frogs and robots
Artificial Intelligence
Formal Methods in Software and Systems Modeling
Interactive information systems: Toward perception based computing
Theoretical Computer Science
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From the Publisher:Shows how highly distributed cooperative computation deepens our understanding of the human mind/brain and catalyzes the development of computing machinery. Using metaphors to describe the brain, distributed interactions are depicted that underlie intelligence in the human, animal, or machine (robot). Covers basic ideas about neural networks, both artificial and biological. Models are provided to show how the brain works, and the schemas which mediate our perception, knowledge, and action.