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Physicist Proposes New Way To Think About Intelligence

An anonymous reader writes "A single equation grounded in basic physics principles could describe intelligence and stimulate new insights in fields as diverse as finance and robotics, according to new research, reports Inside Science. Recent work in cosmology has suggested that universes that produce more entropy (or disorder) over their lifetimes tend to have more favorable properties for the existence of intelligent beings such as ourselves. A new study (pdf) in the journal Physical Review Letters led by Harvard and MIT physicist Alex Wissner-Gross suggests that this tentative connection between entropy production and intelligence may in fact go far deeper. In the new study, Dr. Wissner-Gross shows that remarkably sophisticated human-like "cognitive" behaviors such as upright walking, tool use, and even social cooperation (video) spontaneously result from a newly identified thermodynamic process that maximizes entropy production over periods of time much shorter than universe lifetimes, suggesting a potential cosmology-inspired path towards general artificial intelligence."

42 of 233 comments (clear)

  1. Oh, he's back from his tour of the universes? by Anonymous Coward · · Score: 3, Insightful

    How was the weather?

    1. Re:Oh, he's back from his tour of the universes? by Xaedalus · · Score: 5, Insightful

      Respectfully asking, what's wrong with saying, "What if?" You are correct, we haven't discovered any of what you described. But what I fail to understand is why you are so quick and so adamant to cite what we don't know and imply that speculation is pointless. The impression I get from your post is that we're better off limiting ourself to what we do know--which eventually just leads us to an endless loop because we never move beyond what we don't know.

      --
      Here's to hot beer, cold women, and Glaswegian kisses for all.
    2. Re:Oh, he's back from his tour of the universes? by Jahta · · Score: 3, Insightful

      But if we don't ask "what if", how is there any advancement? Yes, we'd most likely be wrong--it's only through error do we find the truth. What I fail to understand is how science advances without speculation?

      The problem - eloquently expressed here The Trouble With Physics: The Rise of String Theory, The Fall of a Science, and What Comes Next - arises when theoretical physics comes up with hypotheses that are untested (and even potentially untestable) but people start treating them as grounded theories. This is essentially no different from the intelligent design argument; a position that relies on unprovable speculation that you just have to take on faith.

    3. Re:Oh, he's back from his tour of the universes? by femtobyte · · Score: 3, Informative

      How is this paper not a scientific approach to empirical data? We have empirical observations of a wide range of animal/human behaviors. The authors propose a toy mathematical model that reproduces key features of several interesting observed behaviors. This is perfectly good science, just like saying "hey, an F=G*m_1*m_2/r^2 force between massive objects recreates the observed motions of the heavenly bodies" --- a predictive, testable mathematical model that can be compared with measurements of the motions and behaviors of actual critters to see how well it works.

    4. Re:Oh, he's back from his tour of the universes? by femtobyte · · Score: 2

      String theory stands in a "philosophical gray area" because it's (currently) too bloody complicated to calculate predictions for things we can currently measure, and the predictions string theory can make produce effects only visible at far too high energy scales to reach with current experimental technology. Also, string theories have a zillion parameters, so you might be able to match them to basically any observed process.

      The paper's mechanism doesn't have these problems: it predicts behavior accessible to laboratory measurement (how critters move and act), starting from an extremely simple model with only three tunable parameters (effective "temperatures" for the critter and the world, and the "planning ahead" time interval). Making a model that replicated observable behavior is really the best science can do --- Newtonian gravity didn't fundamentally "explain" gravity, it just posited a force with a particular mathematical form that matched observational data.

      True, this theory is in a very "immature" early phase, with gigantic gaps and uncertainties in how (and if) this links up to "microscopic scale" biological neural systems. Nonetheless, it's a starting point, and absolutely offers falsifiability: for all cases where critters don't move/act according to this model, the model is wrong (unlike, e.g., "intelligent design," where you can always say "that's how the designer made it"). Neither is the model particularly biologically implausible: state availability heuristics integrating over potential paths is the type of massively-parallel approximating calculation that brain neural networks could be good at. As "bottom-up" understanding of neural systems advances, the theory will also become falsifiable on "what biological systems actually do" grounds.

      Working "inward" from "both sides" of a problem (bottom-up microscopic dynamics and top-down macroscopic effective approximations) is an extremely common component of scientific practice.

    5. Re:Oh, he's back from his tour of the universes? by bdwebb · · Score: 3, Insightful
      Informed speculation is exactly what advances the scientific process. If you want to be a librarian of others' knowledge and only work within the sphere of existing information and theory then you provide nothing new to the scientific community except to further back up what we already know.

      Your opinion is the exact reason that most pre-graduate school science classes are garbage...the professors teaching the subject have no imagination and therefore cannot present topics in anything but a dry, unenthusiastic drawl that kills the motivation of potential creative thinkers to seek out new knowledge and to advance our species' understanding of the nature of things. The author is not stating that this new research is anything close to finding a 99.9% solid theory...FTA:

      Our results suggest a potentially general thermodynamic model of adaptive behavior as a nonequilibrium process in open systems.

      Their results suggest a potentially general thermodynamic model of adaptive behavior as a nonequilibrium process in open systems. In other words, more research needs to be done but their initial review and experimental process based on recent advancements in other fields points to a result which he has published a paper around. First, How is this not science? And second, How is this not exactly the type of science that moves our knowledge and understanding forward in the best way? Even if he is proven to be wrong, his results are enticing and can lead others to consider how these results can be differently applied.

  2. Relevant xkcd by Karganeth · · Score: 5, Insightful
    1. Re:Relevant xkcd by wonkey_monkey · · Score: 2

      Mods: feel free to stop by xkcd and let him know how insightful he is, but the link itself is entirely derivative.

      There's no need to throw a wobbly just because you didn't think of it first. Maximize your disorder, dude!

      --
      systemd is Roko's Basilisk.
    2. Re:Relevant xkcd by mrego · · Score: 2

      Isn't this the same as IDIC: "Infinite Diversity in Infinite Combinations" ? Increased entrophy?

    3. Re:Relevant xkcd by saveferrousoxide · · Score: 3, Informative

      Oh you're a fan of webcomics? Here, have a Penny Arcade.

  3. nintendo! by Anonymous Coward · · Score: 2, Interesting

    Interesting idea. http://techcrunch.com/2013/04/14/nes-robot/

    That guy took basically a random generator and 'picked' good results to build on. However the input is basically chaos.

  4. when I want to maximize entropy ... by fche · · Score: 2

    ... I burn stuff. Now I can feel smarter about it. Win!

    1. Re:when I want to maximize entropy ... by femtobyte · · Score: 3, Interesting

      The point in the paper that addresses the "burn shit to be smart!" concept is that the "intelligence" is operating on a simplified, macroscopic model of the world, which doesn't pay attention to the microscopic entropy of chemical bonds (increased by setting stuff on fire). In this simplified "critter-scale" world, shorter-term entropy gain *is* the driving compulsion. The toy model "crow reaching food with a stick" example wasn't driven by the crow thinking "gee, if I don't eat now, I'll be dead next year, so I'd better do something about that." Instead, the problem was "solved" by the crow maximizing entropy a few seconds ahead --- e.g. it moves to reach the stick, because there are a lot more system states available if the stick can be manipulated instead of just lying in the same place on the ground. The "intelligent behavior" only needs to maximize entropy on the time-scale associated with completing the immediate task --- a few seconds --- rather than "long term" considerations about nutritional needs.

    2. Re:when I want to maximize entropy ... by Spinalcold · · Score: 2

      This is an old idea that is really about emergence. Terrence Deacon pointed out a flaw in this argument and shifted the idea about emergence from the 'many states' to directional states (I forget the term he used for it). It's the limiting number of states in the system that leads to life, these constraints need energy and so the entropy around them increases. It's a fascinating idea and I hope more work is done on it, listen to it here. [youtube.com]

  5. Intelligence a man made idea. by jellomizer · · Score: 3, Interesting

    Intelligence was invented by man, as a way to make them seem better then other animals in the world.
    Then we further classified it down so we can rank people.

    So it isn't surprising if we want to find intelligent life outside of earth, then we need to change the rules again, as well we need to change the rules of what intelligence is by the fact we have created technology that emulates or exceeds us in many areas we use to classify intelligence.

    Intelligence is a man made measurement, I expect it will always be in flux. However you shouldn't dismiss or automatically accept as good ideas just because someone number that was granted by a fluctuating scale.

    --
    If something is so important that you feel the need to post it on the internet... It probably isn't that important.
    1. Re:Intelligence a man made idea. by Intrepid+imaginaut · · Score: 4, Interesting

      We are better than other animals in the world. By any objective measure we can move faster, go higher, lift more weight, survive in more hostile environments, and a great deal more using our intelligence. There's no animal that can do something better than we can, with a few exceptions like tortoises with very long lifespans, but we'll get there too. Now whether or not that means we are more worthy in some objective way is a totally differerent question.

    2. Re:Intelligence a man made idea. by femtobyte · · Score: 5, Interesting

      For instance, on the planet Earth, man had always assumed that he was more intelligent than dolphins because he had achieved so much—the wheel, New York, wars and so on—whilst all the dolphins had ever done was muck about in the water having a good time. But conversely, the dolphins had always believed that they were far more intelligent than man—for precisely the same reasons.

      -- Douglas Adams

    3. Re:Intelligence a man made idea. by Anonymous Coward · · Score: 2, Insightful

      We are better than other animals in the world. By any objective measure we can move faster, go higher, lift more weight, survive in more hostile environments, and a great deal more using our intelligence. There's no animal that can do something better than we can, with a few exceptions like tortoises with very long lifespans, but we'll get there too. Now whether or not that means we are more worthy in some objective way is a totally differerent question.

      Better? Not really, more resourceful? Yes, definitely. And we have to be. Without the use of tools, we'd still be stuck in the Serengeti, treed by lions and tigers. Because, as a species, we are physically weak (probably more today then 100,000 years ago, but still weak in comparison to an orangutan as to the amount we can lift), slow (The fastest man CAN outrun a horse, but no one could outrun a cheetah on the straight away, and can only tolerate a small range of temperatures. (Without clothes, we wouldn't survive a winter outside the tropics) , and go higher? (Or deeper, for that matter) It is only because of tools. We can't fly on our own, we need to bring oxygen with us to high altitudes, we can't hold our breathes for any appreciable time and we need tools to survive depths that other mammals can handle with no problems.

      Take away our ability to make tools, and man is easy prey to the rest of the animal kingdom.

    4. Re:Intelligence a man made idea. by gtall · · Score: 3, Insightful

      BS. Take your basic household feline. It's tricked its owners into feeding, watering, and petting it. Hell, it has even tricked them into taking out the dooty. No living life form comes close to that kind of intelligence.

    5. Re:Intelligence a man made idea. by sqrt(2) · · Score: 2

      Our achievements aren't invalidated simply because they require materials that we don't directly grow as part of our body. We are the fastest because we build jets and rockets. We are the strongest because we build bulldozers and forklifts. We are the deadliest predator because we can build rifles, fishing boats, and hydrogen bombs. Our brains, which allow us to build all of those amazing things, are part of our body as much as the cheetahs leg muscles are part of its body. We've externalized and expedited the evolutionary process. Instead of waiting millions of years to evolve adaptations we can develop and build adaptations in our own lifetimes to change the environment and ourselves to suit our needs and whims. We can change the world to the way we want NOW, instead of relying on the slow, blind, unplanned, directionless, process of evolution. The cheetah didn't want to become the fastest sprinter, its ancestors that happened to be faster than their contemporaries just survived and reproduced at a slightly higher rate, passing on the genes which made them marginally faster. Man can say to himself, I want to move faster, and build a bicycle, a car, or a rocket; and he can do it NOW, in his own lifetime.

      Even more remarkably, man can teach his fellows whatever tricks he invents. We've created, sometimes with deliberate intent other times through unguided emergent processes, complex systems for encoding symbolic representations of ideas. Man can give these thoughts physical form in various ways; carved in stone, scratched on a wax tablet, preserved in magnetic fields. Man creates vast stores of ideas external to his own mind in libraries and now electronically. The ideas live on after the individual dies and if they are particularly good or useful ideas can last thousands of years. Man doesn't have to rely on good ideas slowly working their way into genetic memory as instinct.

      For all these reasons and more we are the most remarkable, the most superlative, species on Earth.

      --
      If you build it, nerds will come. Soylentnews.org
    6. Re:Intelligence a man made idea. by maxwell+demon · · Score: 2

      He wasn't. He asked the mice about it.

      --
      The Tao of math: The numbers you can count are not the real numbers.
  6. Am I missing something? by fuzzyfuzzyfungus · · Score: 2, Insightful

    This looks eerily like a physicist who has just opened a biology textbook and is now restating the idea that 'intelligence' is the product of an evolutionary selection process because it's a uniquely powerful solution to the class of problems that certain ecological niches pose and is now attempting to add equations....

    Is there something that I'm missing, aside from the 'being alive means grabbing enough energy to keep your entropy below background levels' and the 'we suspect biological intelligence of having evolved because it provides a fitness advantage in certain ecological niches' elements?

    1. Re:Am I missing something? by Trepidity · · Score: 5, Insightful

      This is what it seems to be from a quick read. It would also explain why he would publish an AI paper in a physics journal, rather than in, you know, an AI journal: probably because he was hoping to get clueless physicists who aren't familiar with existing AI work as the reviewers.

      Which isn't to say that physicists can't make good contributions to AI; a number have. But the ones who have an impact and provide something new: 1) explain how it relates to existing approaches, and why it's superior; and 2) publish their work actually relevant journals with qualified peer-reviewers.

    2. Re:Am I missing something? by geek · · Score: 4, Insightful

      I grew up right next to the Lawrence Livermore National Laboratory. My dad and the vast majority of my friends moms and dads worked there for a long time as physicists. Being around these people for 35 years has taught me something. They are morons. They know physics but literally nothing else, besides of course math.

      Its one of those strange situations where they can be utterly brilliant in their singular field of study but absolutely incompetent at literally everything else. I've known guys with IQ's in the 160's that couldn't for the life of them live on their own for their inability to cook or clean or even drive a car. I know one of them that was 45 years old and had never had a drivers license. His wife drove him everywhere or he walked (occasionally the bus if the weather was poor). He didn't do this for ideological reasons like climate change blah blah, he did it because he couldn't drive. He failed the drivers test for years until he gave up trying.

      Whenever a physicist starts talking about something other than physics, I typically roll my eyes and ignore them. It's just intellectual masturbation on their part.

    3. Re:Am I missing something? by Anonymous Coward · · Score: 5, Funny

      I think the problem of uninformed physicists has been addressed by proper scientific research before:

      http://www.smbc-comics.com/?id=2556

    4. Re:Am I missing something? by femtobyte · · Score: 5, Informative

      Yes, what you're missing is the entire point of the paper. Here's my attempt at a quick summary:
      Suppose you are a hungry crow. You see a tasty morsel of food in a hollow log (that you can't directly reach), and a long stick on the ground. The paper poses an answer to the question: what general mechanism would let you "figure out" how to get the food?

      Many cognitive models might approach this by assuming the crow has a big table of "knowledge" that it can logically manipulate to deduce an answer: "stick can reach food from entrance to log," "I can get stick if I go over there," "I can move stick to entrance of log," => "I can reach food." This paper, however, proposes a much more general and simple model: the crow lives by the rule "I'll do whatever will maximize the number of different world states my world can be in 5 seconds from now." By this principle, the crow can reach a lot more states if it can move the stick (instead of the fewer states where the stick just sits in the same place on the ground), so it heads over towards the stick. Now it can reach a lot more states if it pokes the food out of the hole with the stick, so it does. And now, it can eat the tasty food.

      The paper shows a few different examples where the single "maximize available future states" principle allows toy models to "solve" various problems and exhibit behavior associated with "cognition." This provides a very general mechanism for cognition driving a wide variety of behaviors, that doesn't require the thinking critter to have a giant "knowledge bank" from which to calculate complicated chains of logic before acting.

    5. Re:Am I missing something? by Anonymous Coward · · Score: 3, Interesting

      This. I've been a physics student for a third of my life and I've come to the conclusion that I cannot live with other physicists for precisely this reason. Poked my nose into the maths & compsci faculty for a bit, but they were no better.
      In any case, in this concrete situation: the paper mentioned in TFA gives us not even one hint on how to construct an AI and is chock-full of absurd simplification of a complicated system.

    6. Re:Am I missing something? by LourensV · · Score: 5, Informative

      Suggesting that the purpose of intelligence in this man's random musings might be to increase the background levels of entropy for your own benefit.

      That's close, I think. I am not a physicist and I skimmed the equations, but here's my take on what they're proposing. Physical systems have states, which can be described by a state vector. The state of these systems evolves according to some set of rules that describes how the state vector changes over time. They've built a simulator in which the probability of a certain state transition is computed by looking at how many different paths (in state space, i.e. future histories of the system) are possible from the new state, in such a way that the system tries to maximise the number of possibilities for the future. In one example, they have a particle that moves towards the centre of a box, because from there it can move in more directions than when it's close to a wall.

      They then set up two simple models mimicking two basic intelligence tests, and find that their simulator solves them correctly. One is a cart with a pendulum suspended from it, which the system moves into an upright position because from there it's easiest (cheapest energetically, I gather) to reach any other given state. The other is an animal intelligence test, in which an animal is given some food in a space too small for it to reach, and a tool with which the food can be extracted. In their simulation, the "food" is indeed successfully moved out of the enclosed space, because it's easier to do various things with an object when it's close compared to when it's in a box. However, in neither case does the algorithm "know" the goal of the exercise. So they've shown that they've invented a search algorithm that can solve two particular problems, problems which are often considered tests of intelligence, without knowing the goal.

      Then, they use this to support the hypothesis that intelligence essentially means maximising future possibilities. Another way of saying this, I think, is that an intelligent creature will seek to maximise the amount of power it has over its environment, and they've translated that concept into the language of physics. That's an intriguing concept, relating to the concept of liberty, power struggles between people at all scale levels, scientific and technological progress, and so on. I can't imagine this idea being new though. So it all hinges on to what extent this simulation adds anything new to that discussion.

      On the face of it, not much. You might as well say that they've found two tests for which the solution happens to coincide with the state that maximises the number of possible future histories. The only surprising thing then is that their stochastically-greedy search algorithm (actually, without having looked at the details, I wouldn't be surprised if it turned out to be yet another variation of Metropolis-Hastings with a particular objective function) finds the global solution without getting stuck in a local minimum, which could be entirely down to coincidence. It's easy to think of another problem that their algorithm won't solve, for example if the goal would be to put the "food" into the box, rather than taking it out. Their algorithm will never do that, because that would increase the future effort necessary to do something with it. Of course, you might consider that pretty intelligent, and many young humans would certainly agree, although their parents might not. It would be interesting to see how many boxed objects you need before the algorithm considers it more efficient to leave them neatly packaged rather than randomly strewn about the floor, if that happens at all.

      There's another issue in that the examples are laughably simple. While standing upright allows you to do more different things, no one spends their lives standing up, because it costs more energy to do that as a consequence of all sorts of random disturbances in the environment. The model ignores this completely. Similarly, you could

    7. Re:Am I missing something? by femtobyte · · Score: 2

      Yes, it's a simplified toy model that may not perfectly describe the exact actions of a crow. However, within the model assumptions (which aren't unreasonable for real-world assumptions), the actions make sense. One component of the model is the time length tau that the critter "thinks ahead" to maximize entropy. Considering flying away to find food elsewhere requires taking more distant times into consideration; within a few-second "think ahead" horizon, there's nothing else for the crow to do than deal with accessible objects in its immediate environment. Another not unreasonable model assumption is that the crow's mental "world" at the time consists of only the stick, log, food, and itself; the crow isn't deeply pondering every other object it might encounter in the universe. Between the limited "think -ahead" time and the limited "objects" in the crow's mental universe, the stick-grabbing behavior does indeed follow the entropy-maximizing model.

    8. Re:Am I missing something? by femtobyte · · Score: 2

      Thanks for the additional references. Like the paper's authors, I'm a physicist, and personally ignorant of the status of cutting-edge cognitive science research, so I don't make any claims about whether this research is particularly novel or useful in the cognitive science field. But it was at least novel and interesting to me, and cool to see a "physicist's approach" with a simple implemented mathematical model generating "complex, intelligent" results.

    9. Re:Am I missing something? by femtobyte · · Score: 2

      The interesting thing about changing the motive from "hunger" to "maximizing states" is that (a) the same "maximizing states" motivation works to explain a variety of behaviors, instead of needing a distinct motive for each, and (b) "maximizing states" simultaneously provides a "motive" and a theoretical mechanism for achieving that motive --- "I'm hungry" doesn't directly help with solving the food-trapped-in-hole problem, while the simple "maximize states" motive (precisely mathematically formulated) actually generated "problem-solving" behavior.

      For this to work, it is indeed still necessary for the crow to have a mechanism for estimating how its controllable bodily motions impact the range of accessible states. The crow needs to "be a physicist" --- i.e. have an internal mental model of how the world works, which it can use to estimate the state accessibility impact of actions. Smart critters (humans included) do seem to have a subconscious "physics sense" about the world (which, e.g., allows you to catch a ball tossed to you), so it's not completely bonkers to assume that critters can "do the math" enough to calculate heuristics for more or less "constrained" outcomes. To me, this at least seems less bonkers than (now mostly outdated) approaches that tend towards assuming something that looks like formal syllogistic symbolic logic generates "smart" behaviors.

  7. Maintaining disorder by Dan+East · · Score: 2

    It appears to me that the algorithm is trying to maintain entropy or disorder, or at least keep open as many pathways to various states of entropy as possible. In the physics simulations, such as balancing and using tools, this essentially means that it is simply trying to maximize potential energy (in the form of stored energy due to gravity or repulsive fields - gravity in the balancing examples, and repulsive fields in the "tools" example).

    While this can be construed as "intelligence" in these very specific cases, I don't think it is nearly as generalized or multipurpose as the author makes it out to be.

    --
    Better known as 318230.
  8. Spherical cows! by femtobyte · · Score: 4, Funny

    You can tell this is a physicist's paper. It lacks spherical cows, but only because the toy models were set up in 2D. So, instead, we get a crow, chimpanzee, or elephant approximated by circular disks.

  9. Re:More than one by plover · · Score: 2

    I am always amused when I see these posts on $(any_topic) that reveal the inability of the poster to recognize things happen on a variety of levels.

    In this case, intelligence refers not to the subset of humans capable of posting on slashdot, or playing music. Intelligence in this context refers to the evolution of a brain capable of making decisions based on stimuli as well as experience. An earthworm would qualify as intelligent. It takes a whole lot more steps to get from amino acid soup to an earthworm's level of intelligence than it would to get from an earthworm-sized brain to a human brain.

    You're being so literal it's constraining your thinking. It's like you have your own personal grammar nazi that keeps you from seeing a bigger picture. That's especially dangerous on slashdot where the "editors" rarely choose the right words. Learn to expand and adapt.

    --
    John
  10. I'm not sleeping in.. by xtal · · Score: 2

    I'm maintaining the maximum number of possible outcomes for the day, in harmony with the laws of nature. :)

    --
    ..don't panic
  11. Silly paper that completely misses the point by mTor · · Score: 5, Informative

    Here's a review of this paper by a researcher who actually works in the field of AI and cognitive psychology:

    Interdisciplinitis: Do entropic forces cause adaptive behavior?

    Few choice quotes:

    Physicists are notorious for infecting other disciplines. Sometimes this can be extremely rewarding, but most of the time it is silly. I've already featured an example where one of the founders of algorithmic information theory completely missed the point of Darwinism; researchers working in statistical mechanics and information theory seem particularly susceptible to interdisciplinitis. The disease is not new, it formed an abscess shortly after Shannon (1948) founded information theory. The clarity of Shannon's work allowed a metaphorical connections between entropy and pretty much anything. Researchers were quick to swell around the idea, publishing countless papers on âoeInformation theory of Xâ where X is your favorite field deemed in need of a more thorough mathematical grounding.

    and after he explains what the paper's about and how utterly empty it is, he offers some advice to authors:

    By publishing in a journal specific to the field you are trying to make an impact on, you get feedback on if you are addressing the right questions for your target field instead of simply if others' in your field (i.e. other physicists) think you are addressing the right questions. If your results get accepted then you also have more impact since they appear in a journal that your target audience reads, instead of one your field focuses on. Lastly, it is a show of respect for the existing work done in your target field. Since the goal is to set up a fruitful collaboration between disciplines, it is important to avoid E.O. Wilson's mistake of treating researchers in other fields as expendable or irrelevant.

    1. Re:Silly paper that completely misses the point by Black+Parrot · · Score: 2

      and after he explains what the paper's about and how utterly empty it is, he offers some advice to authors:

      By publishing in a journal specific to the field you are trying to make an impact on, you get feedback on if you are addressing the right questions for your target field instead of simply if others' in your field (i.e. other physicists) think you are addressing the right questions.

      The authors were just trying to maximize the number of possible future states for their idea.

      --
      Sheesh, evil *and* a jerk. -- Jade
  12. Re:Relevant SMBC by mTor · · Score: 5, Insightful

    And here's a relevant SMBC:

    http://www.smbc-comics.com/?id=2556

  13. Bill Burr by justthinkit · · Score: 2
    Bill Burr, on one of his MMPC, talked about trying to learn Spanish. At first he was cursing that it was his third try and what was wrong with him. Then later he said that it just came down to the fact that he didn't really need to learn it. Europeans need to know multiple languages. Americans don't. Doesn't mean we are stupid, incompetent, etc. Affects whether we learn language number two, though.
    .

    We live in a society defined by division of labor. The physicist figured that out, as have many video game addicts.

    When P-man walks he gets to think about his theories more, he gets necessary exercise, and he gets his chore done in about the same amount of time. And he simply isn't interested in most of the stuff that we rush around doing. He doesn't particularly want or need a cell phone, and for sure not a tablet. TV is low bandwidth, high noise -- easily filtered out with the convenient OFF button. Shopping is a once-a-week thing that someone else does...no need to duplicate effort. Same with laundry, with those two large machines doing most of the work.

    It is called the simple life. And it kind of rocks.

    ...says the part-time physics guy.

    --
    I come here for the love
  14. Procrastination by wytcld · · Score: 2

    The premise of the claim is that procrastination is the ultimate goal of intelligence, with procrastination defined as keeping open the widest range of possible options by avoiding all actions that would decisively limit that range.

    This would seem, even on the surface, to ignore the many situations where intelligent life must take the narrow path, sacrificing procrastination to the pursuit of a single goal. Once through a narrow path we may find a wide vista of prospects again before us. But without taking such narrow paths at significant times, by always hesitating at the crossroads for as long as possible, we may find ourselves with Robert Johnson, sinking down.

    Also, the claim that the natural goal of choice is to maximize future choice is entirely circular. Like saying the goal of walking is to maximize future walking, the goal of eating to maximize future eating, there's something to it, but it's not quite true. Also, a great deal of research shows that people strive to avoid choice, for the most part.

    --
    "with their freedom lost all virtue lose" - Milton
  15. Make it work by vuo · · Score: 2

    You can make the examples work if you modify the problem. For instance, define that the box is cold, the room is hot and the food is hot. Then, putting the food in the box increases entropy. This is in fact analogous to eating, even in physical terms; the box that eats the food is an energy sink, just like a living being.