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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… - Joscha Bach
" "[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.
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About Joscha Bach
, 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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Additional quotes by Joscha Bach
It's relatively easy to build a neural network that... learns the dynamics. The fact that we haven't done it right so far doesn't mean it's hard... [A] biological organism does it with relatively few neurons. ...[Y]ou build a bunch of neural oscillators that entrain themselves with the dynamics of your body is such a way that the regulator becomes isomorphic and it's modeled with the dynamics that it regulates, and then it's automatic. ...[I]t's only interesting in the sense that it captures attention when the system is off [kelter].
Because there is no narrow, concise understanding of what constitutes mental activity and what is part of mental processes... cognition, the cognitive sciences and the related notions span a wide and convoluted terrain... most of [which] lies outside psychology... This methodological discrepancy can only be understood in the context of the recent .
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