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In biology, artificial life systems are applied as software, hardware and wetware systems. Wetware means the techniques of a biochemical laboratory which, for example, are used to model the molecular origins of prebiotic evolution in an evolutionary reactor. These are, of course, empirical experiments reproducing the biochemical evolution of life or creating new forms of biological life. They are only called "artificial" because the conditions for the self- organization of biological life are arranged by human experimenters. Software systems are computer programs or networks modeling key concepts of life and evolution. We already analyzed the cellular automata approach. There are also computer programs modeling the evolution of animals. In the program GENESYS, for example, animals are represented as neural nets or finite automata. The genes of each organism are represented as bit strings encoding the weights of a neural net or the transition lists of a finite automaton. In order to increase the modeling capacity of the program, it is executed on a massively parallel connection machine.
strictly speaking this isnt how Cogito Ergo Sum (I think therefore I am) should be applied. Since the thinking predicates the existence in this case, but we are existential beings in which existence predicates thinking - in other words in order for something to think it must first exist. Decartes could only have therefore meant - I think therefore I know I exist - not I think therefore I exist. However in this Genesys model it is not necessary for the individual cell to have a self- reflective component. It will eventually mutate to realisation when its algorithms are sufficiently mutated to have self reflection. how? thats beyond my understanding - but there are people out there that believe they know the answer
For something to be intelligent it must firstly be aware of its own existence (I think am, therefore I am). How can an AI understand such things as colour, music, feelings if it does not understand itself.
"This cognitive program I told you about is actually showing that it is learning, and it is learning in a very difficult environment. This is the program Stanford Research runs for us. "
"We've got the technology to the point where we can now apply it in Iraq to a system that we also developed called CPOF, Command Post of the Future. It is a distributed command and control system."
Packing 1,248 processor cores and up to 800 GB of memory in a single standard rack and drawing only 9.1 kW (137 cores/kW) Azul compute pools address energy costs and floor space requirements while achieving higher levels of application throughput.
were not there yet were limited by technology