"think of the concepts as the address space for our behavior programs. The behavior programs allow us to recognize objects and react... large part of that is the physical world that we interact with, which is this thing... basically the navigation of information in space... t's similar to a... a physics engine that you can use to describe/predict how things that look in a particular way, that feel... a particular way, enough, enough auditory perception... the geometry of all these things... his is probably 80% of what our brain is doing... dealing with that... real time simulation... t's not that hard to understand... ur game engines are already approximating the fidelity of what we can perceive... in the same ball park... just a couple of orders of magnitude away from saturating our perception, from the complexity that can produce. ...he computer that you can buy... is able to give a perceptual reality that has the detail that is already in the same ball park as what your brain can process."

“Long ago, physics and other natural sciences... had become computational.”

“When the Artificial Intelligence movement set off fifty years ago, it bristled with ideas and optimism, which have arguably both waned since. The field has regressed into a multitude of relatively well insulated domains like logics, neural learning, case based reasoning, artificial life, robotics, agent technologies, semantic web... each with their own goals and methodologies. The decline of the idea of studying intelligence per se, as opposed to designing systems that perform tasks that would require some measure of intelligence in humans, has progressed to such a degree that we must now rename the original AI idea into Artificial General Intelligence.”

“verything else are ideas about the world, and I suspect that they are relatively sparse, and also the intuitive models that we form about social interaction. ...he priors are present in most social animals ... Many domestic social animals ...have better social cognition than children.”

“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... biological organism does it with relatively few neurons. ...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. ...t's only interesting in the sense that it captures attention when the system is off .”

“MicroPsi is a cognitive model that represents the author’s attempt to contribute to the discussion of Artificial General Intelligence ...”

“Joscha Bach's home page”