"If we want to understand music we have to go beyond understanding sound. We have to understand the transformations that sound can have if you play a different pitch. We have to arrange the sound in a sequencer that gives you rhythms, and so on, and then we want to identify some kind of musical grammar that we can use to... control the sequencer. So we have stacked structures that simulate the world. ...If you want to model a world of music you need to have the lowest level of the precepts, then the higher levels of mental simulations, which give the sequences... and the grammars of music... eyond this you have the conceptual landscape that you can use to describe the different styles of music. ...f you go up in the hierarchy, you get to more and more abstract models, more and more conceptual models, and more and more analytic models. ...hese are causal models..."

“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”