Wednesday, November 11, 2009
Markram Speaks On Simulating the Brain
Wednesday, November 4, 2009
Science/Philosophy discussion on PF
Looks to be a very fascinating discussion about science and philosophy shaping up on the Philosophy Forums. At least, fascinating for my tastes, since I'm perennially interested in the question of what use philosophy really is these days compared to science.
... [M]any scientists take the view that the scientific revolution was made possible not by an accumulation of philosophical analysis, but instead by a rejection of the existing philosophical systems in favour of a new experimental method. From this point of view, scientists don't need philsophers [sic] to do their groundwork for them, but should instead ignore their clever arguments and focus on doing experiments. Hence the motto of the Royal Society, "Take nobody's word for it".
...
You [Searle] also raise the issue of computationalism within cognitive science, and your arguments against it. Whatever their merits, these arguments have not led to a conclusive rejection of computationalism. Dennett, for example, continues to deny your conclusions are valid, and the mind as a computer program metaphor continues to be common currency among cognitive scientists.
To many scientists this is just another symptom of philosophy's malaise: nothing ever gets resolved. That's why, instead of arguing for another thousand years about whether universals exist, they believe they need to focus on questions that can be definitively answered by experiment, with some even claiming that questions outside this domain are meaningless.
Does the computationalist hypothesis really have any experimental implications for cognitive scientists? What effects would you expect your arguments to have on a cognitive scientists research program? Are there benefits of philosophical dispute even in the case that no definite conclusion is reached?
Monday, September 28, 2009
Link Dump
So here are some blog entries (or whatever) I have recently found interesting.
Saturday, July 4, 2009
Why we're here
It doesn't seem as though the universe should exist. It is common to think there should be a reason--a truthmaker--for why the universe exists as opposed to not existing.
Friday, June 26, 2009
Controlling oneself
Fascinating post over at Less Wrong about the influence of control systems on human behavior, and the role they seem to play in the brain. A control system here basically means a feedback device that catalyzes or inhibits some variable in order to maintain it within an accepted range. (Thermostat, homeostasis, etc.)
In a primitive, tribal culture, being seen as useless to the tribe could easily be a death sentence, so we [likely] evolved mechanisms to avoid giving the impression of being useless. A good way to avoid showing your incompetence is to simply not do the things you're incompetent at, or things which you suspect you might be incompetent at and that have a great associated cost for failure. If it's important for your image within the tribe that you do not fail at something, then you attempt to avoid doing that.(P.S., I should note that the author of the quoted blog post, Kaj_Sotala, draws this conceptual material largely from a self-help article by PJ Eby).
You might already be seeing where this is leading. The things many of us procrastinate on are exactly the kinds of things that are important to us. We're deathly afraid of the consequences of what might happen if we fail at them, so there are powerful forces in play trying to make us not work on them at all. Unfortunately, for beings living in modern society, this behavior is maladaptive and buggy. It leads to us having control circuits which try to keep us unproductive, and when they pick up on things that might make us more productive, they start suppressing our use of those techniques.
Furthermore, the control circuits are stupid. They are occasionally capable of being somewhat predictive, but they are fundamentally just doing some simple pattern-matching, oblivious to deeper subtleties. They may end up reacting to wholly wrong inputs. Consider the example of developing a phobia for a particular place, or a particular kind of environment. Something very bad happens to you in that place once, and as a result, a circuit is formed in your brain that's designed to keep you out of such situations in the future. Whenever it detects that you are in a place resembling the one where the incident happened, it starts sending error signals to get you away from there. Only that this is a very crude and unoptimal way of keeping you out of trouble - if a car hit you while you were crossing the road, you might develop a phobia for crossing the road. Needless to say, this is more trouble than it's worth.
Fascinating stuff. Maybe not without its problems though, as commenter Silas Barta notes:
The explanations here for behavioral phenomena look like commonsense reasoning that is being shoehorned into controls terminology by clever relabeling. (ETA: Why do you need the concept of a "feedback control system" to think of the idea of running through the reasons you're afraid of something, for example?)The thought concerns me a bit too. Are we really getting any benefit from describing these aspects of behavior as control mechanisms? Are we getting a more accurate model of behavior? At an individual, practical level, does it help us to conceive of our thought processes in this way?
Wednesday, April 29, 2009
Reading A New Kind of Science
Recently checked out the gargantuan tome (1197 textbook sized pages), A New Kind of Science, by Stephen Wolfram. Not that I expect to get through the entire thing, or even a significant portion of it. But I've been wanting to take a look at it for ages.
Loosely, Wolfram intends to present some kind alternative framework for conceptualizing science (and, if I understand him correctly, practically every other field--philosophy, art, etc.) building from the principles of cellular automata. The main theme in the intro thus far is that simple systems can yield very complex results.
That's all well and good, a fascinating project. I have to say, however, that I'm a bit irritated by his style of prose. From what I've read so far, Mr. Wolfram has repeated that same basic idea--"complexity can arise from simplicity"--about 400 times more than he has actually needed to. He changes the words he uses, but essentially he keeps repeating the same idea without really adding anything to it. For the span of several pages he talks about how his new framework will benefit specific disciplines (biology, physics, mathematics, etc.) running through a list with a paragraph for each. And each paragraph essentially states the same basic idea, generically adapted to the subject at hand.
Seriously, Stephen. Your book is already an ungodly length without you adding what feels to me very much like pointless filler. I'm getting the impression that he likes to "hear himself write", so to speak.
I also take issue with a seeming arrogance Wolfram displays: he can't quite emphasize enough that this is all due to his discoveries and ideas, and this is the first time anyone has approached these problems from this particular angle, etc.
Which may be true to some degree. Certainly Wolfram's earlier work with cellular automata introduced the world to new classes of automata that had not been previous examined. But I feel that he relishes telling us about the magnitude of his own accomplishments a little much.
All that said, I'm just being picky here. I still intend to read more of the book, and I hope it will improve as it gets more into the heart of the matter.
Thursday, March 20, 2008
So, what, it's just a fractal after all?
These two pics were apparently put together by a David Constantine for a New York Times article (or something? that's where the image is hosted, at any rate), although I cannot find the article itself. The "universe" screenshot is from the Millennium Simulation, an international project meant to visually model the universe's development at an unprecedented level of detail and realism. The aforementioned site includes download links for the simulation video, but here's a YouTube link for those who want it.
What do we make of this striking resemblance betwixt neuron and universe? Well, part of me wants to immediately go off on an excited rant about how this confirms all these things I keep noticing about looping/circularity/recursion/self-reference/things-building-upon-themselves, and perhaps there's some sort of mystic significance to be drawn from it all.
But my more cautious side—which, generally speaking, holds more sway for me in these matters—has a few things to say. First and foremost, this is just a simulation; we have no genuine fact of the matter about what the universe, taken as a whole, looked like then or looks like now. Second, this was a simulation designed by humans, creatures who thrive on centralized, hierarchical methods of understanding nature. Seeking out (and, for that matter, imposing) structured hierarchies in nature is one of our most revered conceptual tools, sometimes to the hindrance of our own knowledge—for example, we spent the longest time trying to identify "pacemaker" or leading/guiding cells to account for the slime-mold's self-organizational abilities before Evelyn Fox Keller and Lee Segal showed how they (slime-molds) group together without centralized direction (see Steven Johnson's Emergence: The Connected Lives of Ants, Brains, Cities, and Software for a very readable description of this and many related topics). I find it very likely that, assuming the universe simulation is not perfectly accurate, the simulator designers will tend to incorporate their own biological biases into their work, meaning that human simulation designers will favor simulations that mimic centralization and hierarchies.
Now, for all that, I still grant that the universe demonstrates this kind of arrangement in a number of different non-biological places as well: atoms have nuclei around which electrons orbit, planets and stars form from molecules accumulating around one point, planets orbit about stars, stars orbit about black holes—or whatever-the-hell is in the center of our galaxy. (Note that it pays to be cautious with these analogies: thinking of an atom in terms of planets revolving around a sun can lead to a number of unfortunate misconceptions).
Yes, systematized and centralized thinking is often very helpful.
The problem is, much like the search for theoretical unification and the willful employment of Occam's razor, perhaps it causes us to overlook other things, and see hierarchies where they may not necessarily exist.
(As a final point, there are quite a few images from the universe simulation one can select; given that there are probably thousands of neuron images out there too and given the, ahem, nebulous nature of the astronomical simulations, it can't be that hard to find a few that coincide fairly well.)
Monday, March 17, 2008
The Aftermath of Absurdity: H?
It means to be a finite being {limited to subjectivity; prey to irrational impulses; hampered by the physical world} with aspirations toward divinity {sub species aeternitatis; pure rationality; transcending physicality}. Even those of an atheistic persuasion frequently seek this divinity in one way or another--and, in fact, the atheist strives to see through God's eyes much more often than the theist, since the theist normally considers the very thought blasphemous {Lucifer went astray when he desired God's position; humanity was punished when it built a tower meaning to ascend to the heavens; and, of course, original sin is the very product of seeing through God's eyes--the serpent tells Eve that knowledge of Good and Evil will make her godlike, and this is indeed what condemns humanity}. When the scientist desires to understand the operations of the universe beyond our immediate ability to perceive {knowledge of particles; the constituents of stars; DNA; functioning of the body}, when she desires a simple system of laws from which everything else may be derived {Grand Unified Theory}, she is desiring to transcend her senses (and all that which is given immediately and simply) to discover the true nature of reality--something which, presumably, only a god would have direct access to. What was the pre-human world like? How was it formed? What "makes" a plant grow? Does the universe exhibit counterfactual definiteness? If not, is Laplace's demon an impossibility? Would a god be subject to Heisenberg's uncertainty principle, or to the observer effect?
The aspiration to know this, coupled with the apparent impossibility of truly knowing, is one of the things that makes the human absurd. So many humans for so long have wanted to know what goes on "behind the scenes," and wanted to transcend this paltry, unreliable chunk of biological flesh and bones. Science/technology is presumably our best bet to facilitate this transcendence: it allows us to cleverly sneak around the limitations placed upon us by Nature, augmenting our vision through microscopy and telescopy, detecting and analyzing electromagnetic waves beyond our senses' ability to register, measuring quantities which we could never observe unaided. And, with the deepening of our knowledge, the greater becomes our ability to construct devices which manipulate nature for our own ends. This is the transhumanist goal, and, to a lesser extreme, the intention of nearly every technological endeavor since the dawn of time: harness natural forces so that we may prolong our life, ease our suffering, enable our own enjoyment.
Ever since we first realized that we could more regularly and readily find food if we planted seeds in the right kind of earth, that we can use sticks and rocks and other things to help us hunt and defend ourselves, that we can warm ourselves with animal skins and leaves, we have been on this path. The path which will make us God, perhaps? The path toward perfection?
Perhaps not. Perhaps I again assume too much about the rest of humanity, and I ascribe lofty, grandiose ambitions where they may not be entertained. Perhaps most people want simple, material/social comforts; they are not concerned with knowledge, or even with "transcending" the physical body through virtual reality and cybernetic augmentation. But I think they must be, otherwise why would the promise of heaven be so enticing? Why else would television and computer/console games enjoy the intense, sometimes addicting popularity that they have?
But then, perhaps it is only philosophers who dream this way.
Among other things, the philosopher examines presuppositions which underly our most fundamental beliefs. She makes the implicit explicit. She wanders the borders of human thought, heroically grappling with those speculative concepts which are on the outer limits of our ability to reason about, attempting to "make sense" of it all. ("Make sense" is an appropriate way to describe the process: humans often rely on metaphors derived from our senses when attempting to apprehend an abstract concept. See Where Mathematics Comes From: How the Embodied Mind Brings Mathematics into Being by George Lakoff and Raphael E. Núñez for some fascinating examples of how humans tend to map abstract mathematical concepts onto familiar experiential concepts.)
Now, the curious thing about philosophizing is its notorious "arm-chair" method of inquiry. In contrast with the empirical sciences, philosophy presumes to discover knowledge in a peculiar manner: reasoning built off of common intuitions, supplemented and refined by 1) the arguments of other philosophers, both those from the past and those contemporaneous; and 2) the discoveries handed down from the sciences. Rather than going out into the world and poking about, setting up controlled environments and acquiring measurements to discover regularities, the philosopher sits atop a mountain of academia, arguing vociferously about the ultimate truths of possibility and necessity. Truths applicable, presumably, to all modes of knowledge and all realms of inquiry--that is to say, truths applicable universally.
This has not always been the case: during the Modern Era, "natural philosophy" gained prominence with its new-fangled focus on experimentation. A number of noteworthy philosophers either contributed directly to what we now call science or influenced it strongly with their theories, such as Descartes, Kant, Sir Francis Bacon, and Leibniz. Isaac Newton's legendary tome that lay the groundwork for classical physics was titled Philosophiae Naturalis Principia Mathematica, or "mathematical principles of natural philosophy." Newton and the other members of the Royal Society certainly considered their work to be "natural philosophy," and the continued use of "Philosophical Transactions of the Royal Society" as a name for the longest running science journal in existence is a testament to that attitude. This was by no means exclusive to the Modern period: Aristotle may have been one of the world's first biologists, for all that his conclusions were rife with what we now know are accuracies. Copernicus and Galileo no doubt considered themselves philosophers, etc. etc.
However, with the rise of natural philosophy and its subsequent successes came a devaluation of regular philosophy. By the 19th century (or perhaps the early 20th at the latest), "natural philosophy" had separated even farther from traditional philosophy; it was hereafter known as "science." Strong borders began to appear between the two, spurred on by the anti-metaphysical, pro-empirical agenda of the logical positivists. Since then, science, along with every other field in academia, has undergone a radical process of specialization: we have the natural sciences of physics, chemistry, and biology, then the social sciences of psychology and sociology (and perhaps economics and political science, depending on where ones draws the line). Finally, we have mathematics and computer science, which are hardly empirical, yet they are of such a systematic nature and of such relevance to science proper that they often fall under the general category "science." This segregation of subject matter seems to have arisen as a method of shared labor, or divide-and-conquer strategy: as scientific knowledge accumulates, it becomes inefficient--perhaps impossible--for one person to stay abreast of the current research, and impossible furthermore to devote one's own time to experimentation and theorizing toward the many facets of science at once. Specialization in academia, not surprisingly, mirrored the socio-economic specialization that sprung forth during the Industrial Revolution in the form of division of labor, mechanization, and streamlined factory assembly. Not that it was a new concept: Plato's Republic, Hume's Treatise, and Adam Smith's Wealth of Nations (and no doubt other sources) advocated specialization as the key to efficiency; and, indeed, natural selection itself preceded every thinker through the specialization of cells within an organism and the specialization of individuals within a pack or colony. However, the exponential, near-simultaneous growth of technology, population, science, and the humanities in the last two hundred years exquisitely highlights the role specialization has played, and it is doubtful we would have made the progress we have without it.
Specialization, in conjunction with cooperation, is a wonderful thing which enables synergy--a mysterious emergent property resulting from the pooling and interaction of individual components. Unfortunately, specialization has its drawbacks too: namely, the walls which develop between the expert and the non-expert. Mathematics is a perfect example; from what I hear, mathematics is perhaps the most inaccessible field even to expert mathematicians: at the highest levels of specialization, there might be some ten or fifteen people in the world capable of fully understanding what a given paper tries to prove. A mathematician who studies one niche branch of mathematics may be completely lost when faced with another.
So what does this have to do with philosophy? Well, philosophy was the mother of all inquiry--rational speculation began here, but academic subjects splintered off into child fields that have since then gained their own prominence. In the case of the sciences, that prominence now dwarfs philosophy such that philosophy is the "handmaiden of science," at best, and useless dialectical gobbledygook at worst. And, the inaccessibility that is a byproduct of specialization exacerbates the divide by making it difficult for science to communicate with non-scientific disciplines (see C.P. Snow's Two Cultures for a notorious take on the gulf between the science culture and non-science culture).
So, I suppose I am interested in what relevance philosophy has to non-moral matters. Is there any point to philosophers talking about science and mathematics when many scientists and mathematicians pretty much ignore us? If we have ascertained that philosophy does not give results the way that science has, what role does it play for us? I am interested in science and mathematics, but I do not have the training nor time required to get a full grasp on what the experts are doing. Should this concern me? Is there anything that can be done about it?
Is there a way to be a better/improved/augmented philosopher ('P+'), and what is the relationship between 'P?' and 'H?'?