Tag Archives: distributed cognition

Hayek

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Born on this day in 1899. It’s to analytical (social) epistemology’s (and philosophy of mind’s) impoverishment and shame that Hayek is not that well-known beyond the tiresome caricatures. For all my Hayekana see here. The featured image was very generously given to me by the highly exceptional Walt Weimer.

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Sage Encyclopedia of Philosophy and the Social Sciences

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My chum Byron Kaldis’ big project has been brought to fruition. Bravo! My contribution: Hayek and the “Use of Knowledge in Society”. As you will see there is a terrific lineup – this is an exciting area to be in these days what with CogSci meeting social science – another project of Byron’s in the works.

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Cosmos & Taxis

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I want to bring your attention to a new journal that has just been launched.

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Hayek’s Speculative Psychology, The Neuroscience of value Estimation, and the Basis of Normative Individualism

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An extract from the very excellent and versatile (economics and philosophy of mind) Don Ross.

In light of this history, it is not surprising that, as many commentators have noted, The Sensory Order was relatively neglected for a few decades, but has recently enjoyed a wave of scholarly appreciation. Much of this has centered on the ways in which Hayek’s philosophical psychology complements and completes his general model of adaptive complexity (Butos & Koppl, 1996; Horwitz, 2000, 2008; McQuade & Butos, 2005): both minds and markets are path-dependent incremental learning systems and distributed information processors that depend for their efficiency on freedom from executive planning bottlenecks. Thus the resistance of social processes to social engineering is reinforced by a kind of fractal reproduction of a ‘free market’ in information at the scale of the individual mind. Some cognitive scientists (Edelman, 1985; Fuster, 1995) have noted that Hayek’s high-level conception of mental architecture was substantively vindicated long after the fact. Regrettably, however, only occasional philosophers (e.g., Marsh, 2010) have drawn attention to his remarkable anticipation of sensible opinions that their profession spent decades groping toward, namely: that perception and conceptual filtering dynamically influence one another; that implicit procedural and explicit declarative knowledge form an epistemological continuum (Lycan, 1988; Wilson, 2006); that moderate functionalism is a sound view of the mind-brain relationship but radical functionalism that declares the brain irrelevant is nonsense (Clark, 1989); that consciousness is not the central planning commission of the mind (Dennett, 1991); and that Kant was right that categorical preconceptions structure mental experience, while empiricists were right that science can, does, and should ride roughshod over these preconceptions without limit (Humphreys, 2004; Ismael, 2007; Ladyman & Ross, 2007). As Marsh notes, Hayek even anticipated the ‘monochromeMary’ thought experiment (Jackson, 1996) that later distracted philosophers of consciousness (Dennett, 1991, 2006), but he immediately diagnosed its scientific idleness. [Some of the thought experiment’s philosophical proponents recognized the same thing eventually (Jackson, 2003).] No aspect of The Sensory Order is more impressive than its opening and closing philosophical framing, which remains fresh as paint.

Economic methodologists who study The Sensory Order tend to think that this issue is in turn important because the (relative) autonomy of intentional description and explanation is at the heart of the Austrian view of capital and of the principles by which the political economy best flourishes. Such an assumption is among the shared premises, animating lively debates over detailed implications, that is carried on by the authors collected in Butos (2010) when they take up a brief to explicate the significance of The Sensory Order for the study of the social order in both its positive and normative aspects. We might unpack the common premise in more detail as follows. Austrian social theory will enjoy a considerably shrunken pool of potential followers if it is thought to be hostage to the transcendental post-Kantian philosophy of human thought and action developed by von Mises (1966), because this underlying metaphysic of mind is uncongenial to most epistemological naturalists, and thus to most contemporary social scientists. In the current philosophical atmosphere, Austrian methodological and normative theory stands on much firmer ground if a semi-autonomous domain of intentionality is thought to spontaneously emerge from the interactions of brains and their physical environments. Happily (for pro-Austrians), such ideas are now widespread among scientists in a range of disciplines that study complexity. Still more happily, the aspects of this perspective that are derived from principles of neural organization and functioning were clearly and explicitly developed by Hayek in The Sensory Order; so we have evidence that Austrian social theorizing is not merely compatible with emergentist naturalism about intentionality, but is indeed part of its original intellectual context. This view is not wrong; Hayek indeed provides Austrian methodologists with a more satisfactory philosophy of mind than von Mises’s. However, many would be disappointed to think that all The Sensory Order does for them is show them that they don’t have to endorse von Mises’s declaration of independence from empirical behavioral science. I will argue, however, that Hayek’s philosophical psychology fails to provide any stronger support for Austrian economics or economic methodology. Two widespread, and interrelated, assumptions made by Hayek’s apologists have obscured this. First, there is a tendency to take for granted that the (relative) autonomy of intentional patterns from neuroelectrical and neurochemical patterns is directly associated with the (relative) autonomy of individual choices. If this is not the case, then rejection of neuro-reductionist foundations for economics yields no particular implications in favor of Austrian over neoclassical methodology or policy philosophy. Second, there is a tendency to assume that if brains implement distributed neural networks, then relative economic values must be computed by these networks through the sculpting of global vectors of weights in state spaces by conceptually mediated environmental contingencies. This assumption courts potential dialectical disaster, at least in the short run, for Austrian apologists, because the most flourishing current research programme in neuroeconomics is based precisely on denying it.

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Herbert Simon as Behavioral Economist

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Here is a draft of a co-authored entry for Real World Decision Making: An Encyclopedia of Behavioral Economics. Morris Altman, editor. Santa Barbara: Praeger.

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Hayek and the “Use of Knowledge in Society”

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Here is an advance listing of the forthcoming volume Encyclopedia of Philosophy and the Social Sciences masterly edited by my chum Byron Kaldis. My contribution: Hayek and the “Use of Knowledge in Society”

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Hayek in Today’s Cognitive Neuroscience

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My chum, the extraordinarily distinguished and generous neuroscientist Joaquín Fuster, has this excerpt from his essay:

In bold characters I mark the concepts advanced by Hayek in his The Sensory Order. In parentheses, under each conclusion, the text passages are noted in which he makes reference to those concepts:

1. The cognitive code is a relational code; memories are self-organized networks of associative connections formed in the cortex by the temporal coincident activation of dispersed neuronal assemblies.

(The Sensory Order 2.1-2.5, 3.51-3.78)

2. The networks or cognits of perceptual memory self-organize hierarchically in posterior cortex; those of executive memory do it in frontal cortex.

(The Sensory Order 4.1-4.26, 5.17-5.32)                                                                              

3. The prefrontal cortex, at the top of the perception/action (PA) cycle, integrates behavior, language and/or reasoning by, among other operations, working memory.

(The Sensory Order 4.45-4.55, 5.33-5.49)

4. Working memory is maintained by recurrent activity within the PA cycle between perceptual and executive cognits.

(The Sensory Order 5.63-5.91)

Thus far I have summarized the contributions of modern neuroscience that support Hayek’s thinking in The Sensory Order. There, in accord with the latest data at the time he theorized, that perceived knowledge was distributed in the cerebral cortex in the form of associative networks (“maps”) that bound together the sensory elements of every perceptual experience. He also theorized that the cortical perceptual system thus constituted a classificatory apparatus that was embedded in memory and would serve to classify future percepts by association or similarity. He proposed that that perceptual-knowledge apparatus of the brain was a hierarchically self-organized system that, in its ensemble, constituted what we now call a complex adaptive system. Clearly he was using a methodology very similar to the one he had been using with respect to socio-economic systems. This is most apparent on reading his earlier 1937 paper, Economics and Knowledge, of which he always spoke very fondly.

What Hayek did not say in The Sensory Order, because it was not yet known when he wrote it, is that his hypothetical “maps,” which we now call cognitive networks or cognits, interconnect profusely with one another through nodes of common linkage. In other words, that all the items of memory and knowledge in our brain constitute a massive system of relational encoding and communication. Most importantly, that knowledge is dispersed and distributed in the cerebral cortex much as it is in the marketplace among individuals. Further, that it makes sense, metaphorically, to speak of a cerebral marketplace of knowledge. This would be the cognitive counterpart of the sub-cortical marketplace of values and rewards that Ainslie et al. (2004) hypothesize.

In both “marketplaces” the unit of exchange would be synaptic strength. Thus, with more empirical knowledge, Hayek could have extended to the brain concepts very similar to those he used to explain the relationships between marketplace participants and between price and cost. He could have applied those concepts more explicitly than he did in his book to the cybernetic relation between perception and action, as encapsulated in the PA cycle. My presumptions are the more plausible if we view his stance on the role of subjective factors in the behavior of complex economic systems.

Thus current cognitive neuroscience not only confirms Hayek’s hypotheses on the brain/mind relation, but also incorporates gradually into the cerebral cortex some of the same principles of operation that he and other liberal economists tell us govern the behavior of individuals in an economic system as complex as the human brain. Indeed, there is in the cortex an endless competition between cognits for action. Cognits are, after all, self-organized units of information that is incomplete by definition — insofar as it is subjective. Out of that competition emerge, spontaneously, not only the sensory but also the action order. And the PA cycle engages the self with the environment in a dynamic cybernetic interplay much as the one that governs market transactions. In neither of the two is a “central executive” necessary.

Thus the brain dynamics between perception and action is more than a metaphor of market dynamics, not only because the former underlies the latter, but also because both serve the continuous regulation toward adaptive equilibrium that characterizes the dynamics of all open adaptive systems in biology as well as human society. Feedback and self-correction are essential components of adaptive systems. Central design and planning are generally blind to both, and therein is the cause for failure of many self-sustained bureaucracies and multi-annual plans.

For proper operation, a cybernetic cycle needs built-in feed-forward as well as feedback. Here is where Hayek’s “foresight” in an economic system appears essential to deal with what he called “imperfect competition,” in the brain as in the market. Much as in the latter, the cortical cognitive system, where cognits compete with estimates of risk and success in the PA cycle, contains within it a substrate of executive cognits or “enablers.” They reside in the prefrontal cortex on top of the cycle, which collects the information available to it in preparation of action and expectation of outcome. For this reason we can rightfully envision the prefrontal cortex as the organ of pre-adaptation of the cognitive system, which through its PA cycle ever strives for maximal future success with minimal risk.

Finally, our cortex serves our individual goals with more knowledge than we are aware of. Unconsciously, we can intuit probabilities of risk and benefit a great deal better than any conscious “central planner” inside our brain could ever do. Much of our decision-making is laden with the imponderable yet beneficial force of intuition. Inasmuch as we may derive individual benefit from intuitive knowledge, and inasmuch as our intuitive knowledge may serve our fellow humans, it is entirely possible that there is in our brain an “invisible hand” sustaining that larger one that Adam Smith (1976) proposed for society at large.

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The Swarm Lab

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Swarm enthusiasts would do well to check out Simon Garnier’s new interdisciplinary initiative Swarm Lab run under the auspices of the Department of Biological Sciences at the New Jersey Institute of Technology.

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Stigmergy in the Human Domain

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Just published!  Cognitive Systems Research Vol. 21, March

Stigmergic dimensions of online creative interaction

Jimmy Secretan

Stigmergy in human practice: Coordination in construction work

Lars Rune Christensen

Stigmergic self-organization and the improvisation of Ushahidi

Janet Marsden

Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective

Saurabh Mittal

Cognitive stigmergy: A study of emergence in small-group social networks

Ted G. Lewis

Stigmergy 3.0: From ants to economies

Margery J. Doyle, Leslie Marsh

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Stigmergy 3.0

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Any day now, the papers comprising volume 21, a special issue on stigmergy, should become available. In the meantime check out the papers in their “in press” status.

Stigmergic dimensions of online creative interaction

Jimmy Secretan

Stigmergy in human practice: Coordination in construction work

Lars Rune Christensen

Stigmergic self-organization and the improvisation of Ushahidi

Janet Marsden

Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective

Saurabh Mittal

Cognitive stigmergy: A study of emergence in small-group social networks

Ted G. Lewis

Stigmergy 3.0: From ants to economies

Margery J. Doyle, Leslie Marsh

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