Artificial Intelligence through Simulated Evolution

A heuristic discussion of probabilistic decoding

This is another in a series of invited tutorial, status and survey papers that are being regularly solicited by the PTGIT Committee on Special Papers. We invited Profess01 Fano ...

Learning and Problem Solving with Multilayer Connectionist Systems

The difficulties of learning in multilayered networks of computational units has limited the use of connectionist systems in complex domains. This dissertation elucidates the is...

APPLYING EVOLUTIONARY PROGRAMMING TO SELECTED TRAVELING SALESMAN PROBLEMS

Natural evolution provides a paradigm for the design of stochastic-search optimization algorithms. Various forms of simulated evolution, such as genetic algorithms and evolution...

Plans and Situated Actions: The Problem of Human-Machine Communication

Preface Acknowledgements 1. Introduction 2. Interactive artefacts 3. Plans 4. Situated actions 5. Communicative resources 6. Case and methods 7. Human-machine communication 8. C...

Viewing control structures as patterns of passing messages