A Most Porous Barrier

Whenever there is a scientific—or even a quasi-scientific—theory invented, there are those who take an expansive view of the theory, broadly applying it to other areas of thought. This is perhaps inherent in the metaphorical nature of these kinds of thought patterns. Thus we see Darwinian theory influenced by Adam Smith’s “invisible hand” of economic optimization. Then we get Spencer’s Social Darwinism arising from Darwin. And E.O. Wilson’s sociobiology leads to evolutionary psychology, immediately following an activist’s  pitcher of ice water.

The is-ought barrier tends towards porousness, allowing the smuggling of insights and metaphors lifted from the natural world as explanatory footwork for our complex social and political interactions. After all, we are as natural as we are social. But at the same time, we know that science is best when it is tentative and subject to infernal levels of revision and reconsideration. Decisions about social policy derived from science, and especially those that have significant human impact, should be cushioned by a tentative level of trust as well.

E.O. Wilson’s most recent book, Genesis: The Deep Origin of Societies, is a continuation of his late conversion to what is now referred to as “multi-level selection,” where natural selection is believed to operate at multiple levels, from genes to whole societies. It remains a controversial theory that has been under development and under siege since Darwin’s time, when the mechanism of inheritance was not understood.

The book is brief and does not provide much, if any, new material since his Social Conquest of Earth, which was significantly denser and contained notes derived from his controversial 2010 Nature paper that called into question whether kin selection was overstated as a gene-level explanation of altruism and sacrifice within eusocial species.… Read the rest

Doubt at the Limit

I seem to have a central theme to many of the last posts that is related to the demarcation between science and non-science, and also to the limits of what rationality allows where we care about such limits. This is not purely abstract, though, as we can see in today’s anti-science movements, whether anti-vaccination, flat Earthers, climate change deniers, or intelligent design proponents. Just today, Ars Technica reports on the first of these. The speakers at the event, held in close proximity to a massive measles outbreak, ranged from a “disgraced former gastroenterologist” to an angry rabbi. Efforts to counter them, in the form of a letter from a county supervisor and another rabbi, may have had an impact on the broader community, but probably not the die-hards of the movement.

Meanwhile, Lee Mcyntire at Boston University suggests what we are missing in these engagements in a great piece in Newsweek. Mcyntire applies the same argument to flat Earthers that I have applied to climate change deniers: what we need to reinforce is the value and, importantly, the limits inherent in scientific reasoning. Insisting, for example, that climate change science is 100% squared away just fuels the micro-circuits in the so-called meta-cognitive strategies regions of the brains of climate change deniers. Instead, Mcyntire recommends science engages the public in thinking about the limits of science, showing how doubt and process lead us to useable conclusions about topics that are suddenly fashionably in dispute.

No one knows if this approach is superior to the alternatives like the letter-writing method by authorities in the vaccination seminar approach, and it certainly seems longer term in that it needs to build against entrenched ideas and opinions, but it at least argues for a new methodology.… Read the rest

Free Will and Algorithmic Information Theory (Part II)

Bad monkey

So we get some mild form of source determinism out of Algorithmic Information Complexity (AIC), but we haven’t addressed the form of free will that deals with moral culpability at all. That free will requires that we, as moral agents, are capable of making choices that have moral consequences. Another way of saying it is that given the same circumstances we could have done otherwise. After all, all we have is a series of if/then statements that must be implemented in wetware and they still respond to known stimuli in deterministic ways. Just responding in model-predictable ways to new stimuli doesn’t amount directly to making choices.

Let’s expand the problem a bit, however. Instead of a lock-and-key recognition of integer “foodstuffs” we have uncertain patterns of foodstuffs and fallible recognition systems. Suddenly we have a probability problem with P(food|n) [or even P(food|q(n)) where q is some perception function] governed by Bayesian statistics. Clearly we expect evolution to optimize towards better models, though we know that all kinds of historical and physical contingencies may derail perfect optimization. Still, if we did have perfect optimization, we know what that would look like for certain types of statistical patterns.

What is an optimal induction machine? AIC and variants have been used to define that machine. First, we have Solomonoff induction from around 1960. But we also have Jorma Rissanen’s Minimum Description Length (MDL) theory from 1978 that casts the problem more in terms of continuous distributions. Variants are available, too, from Minimum Message Length, to Akaike’s Information Criterion (AIC, confusingly again), Bayesian Information Criterion (BIC), and on to Structural Risk Minimization via Vapnik-Chervonenkis learning theory.

All of these theories involve some kind of trade-off between model parameters, the relative complexity of model parameters, and the success of the model on the trained exemplars.… Read the rest

Hypersensitive Conspiracy Disorder

I was once cornered in a bar in Suva, Fiji by an Indian man who wanted to unburden himself and complain a bit. He was convinced that the United States had orchestrated the coups of 1987 in which the ethnically Fijian-dominated military took control of the country. The theory went like this: ethnic Indians had too much power for the Americans to bear as we were losing Subic Bay as a deep water naval base in the South Pacific. Suva was the best, nearest alternative but the Indians, with their cultural and political ties to New Delhi, were too socialist for the Americans. Hence the easy solution was to replace the elected government with a more pro-American authoritarian regime. Yet another Cold War dirty tricks effort, like Mossaddegh or Allende, far enough away that the American people just shrugged our collective shoulders. My drinking friend’s core evidence was an alleged sighting of Oliver North by someone, sometime, chatting with government officials. Ollie was the 4D chess grandmaster of the late 80s.

It didn’t work out that way, of course, and the coups continued into the 2000s. More amazing still was that the Berlin Wall came down within weeks of that bar meetup and the entire engagement model for world orders slid into a brief decade of deconstruction and confusion. Even the economic dominance of Japan ebbed and dissipated around the same time.

But our collective penchant for conspiracy theories never waned. And with the growth of the internet and then social media, the speed and ease of disseminating fringe and conspiratorial ideas has only increased. In the past week there were a number of news articles about the role of conspiracy theories, from a so-called “QAnon” advocate meeting with Trump to manipulation of the government by Israel’s Black Cube group.… Read the rest

Zebras with Machine Guns

I was just rereading some of the literature on Plantinga’s Evolutionary Argument Against Naturalism (EAAN) as a distraction from trying to write too much on ¡Reconquista!, since it looks like I am on a much faster trajectory to finishing the book than I had thought. EAAN is a curious little argument that some have dismissed as a resurgent example of scholastic theology. It has some newer trappings that we see in modern historical method, however, especially in the use Bayes’ Theorem to establish the warrant of beliefs by trying to cast those warrants as probabilities.

A critical part of Plantinga’s argument hinges on the notion that evolutionary processes optimize against behavior and not necessarily belief. Therefore, it is plausible that an individual could hold false beliefs that are nonetheless adaptive. For instance, Plantinga gives the example of a man who desires to be eaten by tigers but always feels hopeless when confronted by a given tiger because he doesn’t feel worthy of that particular tiger, so he runs away and looks for another one. This may seem like a strange conjunction of beliefs and actions that happen to result in the man surviving, but we know from modern psychology that people can form elaborate justifications for perceived events and wild metaphysics to coordinate those justifications.

If that is the case, for Plantinga, the evolutionary consequence is that we should not trust our belief in our reasoning faculties because they are effectively arbitrary. There are dozens of responses to this argument that dissect it from many different dimensions. I’ve previously showcased Branden Fitelson and Elliot Sober’s Plantinga’s Probability Arguments Against Evolutionary Naturalism from 1997, which I think is one of the most complete examinations of the structure of the argument.… Read the rest

The Obsessive Dreyfus-Hawking Conundrum

I’ve been obsessed lately. I was up at 5 A.M. yesterday and drove to Ruidoso to do some hiking (trails T93 to T92, if interested). The San Augustin Pass was desolate as the sun began breaking over, so I inched up into triple digit speeds in the M6. Because that is what the machine is made for. Booming across White Sands Missile Range, I recalled watching base police work with National Park Rangers to chase oryx down the highway while early F117s practiced touch-and-gos at Holloman in the background, and then driving my carpool truck out to the high energy laser site or desert ship to deliver documents.

I settled into Starbucks an hour and a half later and started writing on ¡Reconquista!, cranking out thousands of words before trying to track down the trailhead and starting on my hike. (I would have run the thing but wanted to go to lunch later and didn’t have access to a shower. Neither restaurant nor diners deserve an après-run moi.) And then I was on the trail and I kept stopping and taking plot and dialogue notes, revisiting little vignettes and annotating enhancements that I would later salt in to the main text over lunch. And I kept rummaging through the development of characters, refining and sifting the facts of their lives through different sets of sieves until they took on both a greater valence within the story arc and, often, more comedic value.

I was obsessed and remain so. It is a joyous thing to be in this state, comparable only to working on large-scale software systems when the hours melt away and meals slip as one cranks through problem after problem, building and modulating the subsystems until the units begin to sing together like a chorus.… Read the rest

Traitorous Reason, Facts, and Analysis

dinoObama’s post-election press conference was notable for its continued demonstration of adult discourse and values. Especially notable:

This office is bigger than any one person and that’s why ensuring a smooth transition is so important. It’s not something that the constitution explicitly requires but it is one of those norms that are vital to a functioning democracy, similar to norms of civility and tolerance and a commitment to reason and facts and analysis.

But ideology in American politics (and elsewhere) has the traitorous habit of undermining every one of those norms. It always begins with undermining the facts in pursuit of manipulation. Just before the election, the wizardly Aron Ra took to YouTube to review VP-elect Mike Pence’s bizarre grandstanding in Congress in 2002:

And just today, Trump lashed out at the cast of Hamilton for lecturing Mike Pence on his anti-LGBTQ stands, also related to ideology and belief, at the end of a show.

Astonishing as this seems, we live in an imperfect world being drawn very slowly away from tribal and xenophobic tendencies, and in fits and starts. My wife received a copy of letter from now-deceased family that contained an editorial from the Shreveport Journal in the 1960s that (with its embedded The Worker editorial review) simultaneously attacked segregationist violence, the rhetoric of Alabama governor George Wallace, claimed that communists were influencing John F. Kennedy and the civil rights movement, demanded the jailing of communists, and suggested the federal government should take over Alabama:

editorial-shreveport-60s-m

The accompanying letter was also concerned over the fate of children raised as Unitarians, amazingly enough, and how they could possibly be moral people. It then concluded with a recommendation to vote for Goldwater.… Read the rest

Motivation, Boredom, and Problem Solving

shatteredIn the New York Times Stone column, James Blachowicz of Loyola challenges the assumption that the scientific method is uniquely distinguishable from other ways of thinking and problem solving we regularly employ. In his example, he lays out how writing poetry involves some kind of alignment of words that conform to the requirements of the poem. Whether actively aware of the process or not, the poet is solving constraint satisfaction problems concerning formal requirements like meter and structure, linguistic problems like parts-of-speech and grammar, semantic problems concerning meaning, and pragmatic problems like referential extension and symbolism. Scientists do the same kinds of things in fitting a theory to data. And, in Blachowicz’s analysis, there is no special distinction between scientific method and other creative methods like the composition of poetry.

We can easily see how this extends to ideas like musical composition and, indeed, extends with even more constraints that range from formal through to possibly the neuropsychology of sound. I say “possibly” because there remains uncertainty on how much nurture versus nature is involved in the brain’s reaction to sounds and music.

In terms of a computational model of this creative process, if we presume that there is an objective function that governs possible fits to the given problem constraints, then we can clearly optimize towards a maximum fit. For many of the constraints there are, however, discrete parameterizations (which part of speech? which word?) that are not like curve fitting to scientific data. In fairness, discrete parameters occur there, too, especially in meta-analyses of broad theoretical possibilities (Quantum loop gravity vs. string theory? What will we tell the children?) The discrete parameterizations blow up the search space with their combinatorics, demonstrating on the one hand why we are so damned amazing, and on the other hand why a controlled randomization method like evolutionary epistemology’s blind search and selective retention gives us potential traction in the face of this curse of dimensionality.… Read the rest

Quantum Field Is-Oughts

teleologySean Carroll’s Oxford lecture on Poetic Naturalism is worth watching (below). In many ways it just reiterates several common themes. First, it reinforces the is-ought barrier between values and observations about the natural world. It does so with particular depth, though, by identifying how coarse-grained theories at different levels of explanation can be equally compatible with quantum field theory. Second, and related, he shows how entropy is an emergent property of atomic theory and the interactions of quantum fields (that we think of as particles much of the time) and, importantly, that we can project the same notion of boundary conditions that result in entropy into the future resulting in a kind of effective teleology. That is, there can be some boundary conditions for the evolution of large-scale particle systems that form into configurations that we can label purposeful or purposeful-like. I still like the term “teleonomy” to describe this alternative notion, but the language largely doesn’t matter except as an educational and distinguishing tool against the semantic embeddings of old scholastic monks.

Finally, the poetry aspect resolves in value theories of the world. Many are compatible with descriptive theories, and our resolution of them is through opinion, reason, communications, and, yes, violence and war. There is no monopoly of policy theories, religious claims, or idealizations that hold sway. Instead we have interests and collective movements, and the above, all working together to define our moral frontiers.

 … Read the rest

Bayesianism and Properly Basic Belief

Kircher-Diagram_of_the_names_of_GodXu and Tenebaum, in Word Learning as Bayesian Inference (Psychological Review, 2007), develop a very simple Bayesian model of how children (and even adults) build semantic associations based on accumulated evidence. In short, they find contrastive elimination approaches as well as connectionist methods unable to explain the patterns that are observed. Specifically, the most salient problem with these other methods is that they lack the rapid transition that is seen when three exemplars are presented for a class of objects associated with a word versus one exemplar. Adults and kids (the former even more so) just get word meanings faster than those other models can easily show. Moreover, a space of contending hypotheses that are weighted according to their Bayesian statistics, provides an escape from the all-or-nothing of hypothesis elimination and some of the “soft” commitment properties that connectionist models provide.

The mathematical trick for the rapid transition is rather interesting. They formulate a “size principle” that weights the likelihood of a given hypothesis (this object is most similar to a “feb,” for instance, rather than the many other object sets that are available) according to a scaling that is exponential in the number of exposures. Hence the rapid transition:

Hypotheses with smaller extensions assign greater probability than do larger hypotheses to the same data, and they assign exponentially greater probability as the number of consistent examples increases.

It should be noted that they don’t claim that the psychological or brain machinery implements exactly this algorithm. As is usual in these matters, it is instead likely that whatever machinery is involved, it simply has at least these properties. It may very well be that connectionist architectures can do the same but that existing approaches to connectionism simply don’t do it quite the right way.… Read the rest