Online research in philosophy

Philosophy, in its traditional guise, addresses questions where experimental science has not yet nailed down plausible explanatory theories. Thus, the ancient Greeks pondered the nature of life, the sun, and tides, but also how we learn and make decisions. The history of science can be seen as a gradual process whereby speculative philosophy cedes intellectual space to increasingly wellgrounded experimental disciplines—first astronomy, but followed by physics, chemistry, geology, biology, archaeology, and more recently, ethology, psychology, and neuroscience. Science now encompasses plausible (...) theories in many domains, including large-scale theories about the cosmos, life, matter, and energy. The mind’s turn has now come. The classical ‘‘mind’’ questions center on free will, the self, consciousness, how thoughts can have meaning and ‘‘aboutness,’’ and how we learn and use knowledge. All these matters interlace with questions about morality: where values come from, the roles of reason and emotion in choice, and the wherefore of responsibility and punishment. The vintage mind/body problem is a legacy of Descartes: if the mind is a completely nonphysical substance, as he thought, how can it interact causally with the physical brain? Since the weight of evidence indicates that mental processes actually are processes of the brain, Descartes’ problem has disappeared. The classical mind/ body problem has been replaced with a range of questions: what brain mechanisms explain learning, decision making, self-deception, and so on. The replacement for ‘‘the mind-body problem’’ is not a single problem; it is the vast research program of cognitive neuroscience. The dominant methodology of philosophy of mind and morals in the twentieth.. (shrink)

Two very different insights motivate characterizing the brain as a computer. One depends on mathematical theory that defines computability in a highly abstract sense. Here the foundational idea is that of a Turing machine. Not an actual machine, the Turing machine is really a conceptual way of making the point that any well-defined function could be executed, step by step, according to simple 'if-you-are-in-state-P-and-have-input-Q-then-do-R' rules, given enough time (maybe infinite time) [see COMPUTATION]. Insofar as the brain is a device whose (...) input and output can be characterized in terms of some mathematical function -- however complicated -- then in that very abstract sense, it can be mimicked by a Turning machine. Given what is known so far brains do seem to depend on cause-effect operations, and hence brains appear to be, in some formal sense, equivalent to a Turing machine [see CHURCH-TURING THESIS]. On its own, however, this reveals nothing at all of how the mind-brain actually works. The second insight depends on looking at the brain as a biological device that processes information from the environment to build complex representations that enable the brain to make predictions and select advantageous behaviors. Where necessary to avoid ambiguity, we will refer to the first notion of computation as algorithmic computation, and the second as information processing computation. (shrink)

A neurophilosopher?s take on the self, free will, human understanding, and the experience of God, from the perspective of the brain.

Irvin Rock's hypothesis that certain stages of perceptual processing resemble problem solving in cognition is contrasted to some recent work in computer vision (Marr, Ullman) which tries to reduce intelligence in perception to computational organization. The focal example is subjective contours which Marr thought could be handled by computational modules without descending control, and which Rock thinks are the outcome of intelligent processing.