Minimalist mobile robotics: a colony-style architecture for an artificial creature
Minimalist mobile robotics: a colony-style architecture for an artificial creature
Evolution of genetic codes through isologous diversification of cellular states
Artificial Life - Special issue on the Artificial Life VII: looking backward, looking forward
John von Neumann and the evolutionary growth of complexity: looking backward, looking forward …
Artificial Life - Special issue on the Artificial Life VII: looking backward, looking forward
The Handbook of Brain Theory and Neural Networks
The Handbook of Brain Theory and Neural Networks
Autonomous Robots
Cellular Automata
A robot that walks; emergent behaviors from a carefully evolved network
Neural Computation
Genetic Evolution of Software Microorganisms
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Algorithmic entropy, phase transition, and smart systems
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Evolutionary humanoid robotics: past, present and future
50 years of artificial intelligence
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We still do not understand what it is that makes living matter alive. If we did we could build living machines, but it is clear that we do not have the technology to do that today.Living machines would be able to self-reproduce, find their own sources of energy, and repair themselves to some degree. They need not necessarily be built from our standard materials, silicon and metal. Living machines will change all of our technologies with equivalent disruption as that introduced by electricity and that by plastics. Living machines will invade the fabric of our everyday lives.There are three thrusts to trying to build living machines. First is to build robots with partial characteristics of living machines, looking for the key intellectual ideas that make them possible. The second is to use generalized evolutionary systems to investigate possible mechanisms and designs. Generalized evolutionary systems use analogs of physical processes to organize the world for evolving systems, living in that world. The third thrust is to develop a new mathematics of living systems. This new mathematics interacts with the first two thrusts in two ways. It is inspired by the first two thrusts to formalize the notions developed there. Additionally it is used to provide constraints on the design spaces in the first two thrusts, to guide the research work to the appropriate areas.