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" "[C]ausal models can be weakly deterministic, basically associative models, which tell you if this state [S<sub>1</sub>] happens, it is quite probable that this one [S<sub>2</sub>] comes afterwards. Or you can get to a strongly determined model... one which tells you, if you are in this state [S<sub>1</sub>], and this condition [c<sub>1</sub>] is met, you're going to go exactly in this state [S<sub>2</sub>]. If this state is not met, or a different condition [c<sub>2</sub>] is met, you go into this state [S<sub>3</sub>]. And this is what we call an algorithm. Now you're in the domain of computation.
, also known as “the wizard of consciousness”(born 1973 in Weimar, Germany) is a cognitive scientist focusing on cognitive architectures, models of mental representation, emotion, motivation and sociality. Achievements include research in novel data compression algorithm using concurrent entropy models; development of microPsi cognitive architecture for modeling emotion, motivation, mental representation. In 2000, Bach graduated with a diploma in Computer Science from Berlin, followed by a Doctor of Philosophy at Osnabrück University, Germany, in 2006. Before joining , he worked as a visiting researcher at the and the Harvard Program for Evolutionary Dynamics. Fact finding reports by the and found that Bach’s research was supported with more than $150,000 by the Foundation.
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Early AI systems tended to constrain themselves to micro-domains that could be sufficiently described using simple ontologies and binary predicate logics, or restricted themselves to hand-coded ontologies altogether. ...AI systems will probably have to be perceptual symbol systems, as opposed to amodal symbol systems...
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