Emotonomics: An Extension of Economics for the Knowledge Economy

SHAMBA LUV gradient heart — emotonomics

Emotonomics defined as a field: attention as the source of value, emotion as its measure, protocols as its distribution mechanism — from Smith and Hayek to the general intellect, with axioms, testable propositions, and a full bibliography.

SHAMBA LUV — the gradient heart
Emotonomics — attention as the source of value. The reference implementation is the LUV protocol.

Emotonomics: An Extension of Economics for the Knowledge Economy — the field paper. Canonical sources: the styled edition on luv.pythai.net · the markdown original on GitHub.

Preface. This document defines emotonomics as a field: its lineage in classical political economy, its departure point at the exhaustion of the information age, and its contribution — a theory of value grounded in attention and measured in emotion, with a distribution mechanism implementable in open protocol code. The analytic register here is deliberately academic; the protocol implementing it speaks elsewhere in its own voice (sharing is caring).

Abstract

Economics defined itself as the science of allocating scarce means among competing ends (Robbins 1932). The knowledge economy strained that definition — knowledge is nonrival and accumulates by sharing (Romer 1990) — and the information age broke it in practice: when information became abundant, the binding scarcity moved to what information consumes, namely attention (Simon 1971). Existing attention economics treats attention as a scarce cost to be economized or harvested. Emotonomics makes the stronger claim: attention is the source of value, emotion is its natural price signal, and an economy can be built that measures, prices, and distributes attention-value directly. The field extends classical economics rather than replacing it: the free market survives as the discovery procedure (Hayek 1945; 1978), while the techno-Marxist tradition contributes the goal it could never mechanize — distribution of the surplus of the general intellect (Marx 1857–58) — here implemented not by plan but by protocol. We state the field’s axioms, derive testable propositions, and answer the principal objections.

I. The problem: value theory after scarcity

Every school of economics is, at bottom, a theory of value with a theory of measurement attached. Classical political economy measured value in labor time (Smith 1776; Ricardo 1817; Marx 1867). The marginalist revolution relocated value into subjective preference at the margin (Menger 1871; Jevons 1871; Walras 1874), and Robbins (1932) generalized the result: economics is the logic of scarcity itself.

The knowledge economy undermined the premise. Knowledge is nonrival — its use by one does not diminish its use by another — and is therefore accumulated rather than allocated (Machlup 1962; Drucker 1969; Bell 1973; Romer 1990). The information age completed the demonstration: the marginal cost of reproducing and distributing information fell toward zero (Shapiro & Varian 1999), and the network society made distribution itself ambient (Castells 1996). An economics of scarcity confronts an economy whose principal good is not scarce.

Simon (1971) named the resolution long before the web existed: “a wealth of information creates a poverty of attention.” What is scarce in an information-rich world is the human capacity to attend. But the literature that grew from this insight — the attention economy of Goldhaber (1997), Franck (1998), and Davenport & Beck (2001), through Wu’s (2016) history of the attention merchants — treats attention as a scarce input to be captured, economized, and sold. The capture model culminates in surveillance capitalism (Zuboff 2019): attention is indeed the scarce factor, and it is harvested from the very people who supply it, who are paid nothing (Smythe 1977; Terranova 2000).

The problem, then, is not that economics lacks a theory of attention scarcity. It is that economics lacks a theory in which attention is the source of value — owned, priced, and yielded back to those who give it. That theory is emotonomics.

II. Classical foundations: reading Smith whole

Emotonomics claims descent from classical economics — but from the whole of it. The discipline canonized The Wealth of Nations (Smith 1776) and treated The Theory of Moral Sentiments (Smith 1759) as juvenilia. Smith himself made no such division. The Moral Sentiments grounds social order in sympathy — the capacity to attend to another’s state and feel with it — and locates the deepest human motive for economic striving not in consumption but in regard: to be “observed,” “attended to,” “taken notice of with sympathy.” In Smith’s own system, the pursuit of wealth is already a pursuit of attention and affective approbation. Emotonomics is, in this precise sense, a return to Smith: it takes the sympathy of 1759 as the demand side of the market of 1776.

From the rest of the classical inheritance the field keeps three commitments:

  1. The free market as coordination without command (Smith 1776). No central valuer; the invisible hand is retained as the aggregation mechanism for dispersed valuations.
  2. The price system as knowledge aggregation (Hayek 1945). Prices condense dispersed, tacit, local knowledge that no planner can collect; competition is a discovery procedure (Hayek 1978). Emotonomics does not soften this claim — it extends its domain: what the market is asked to discover is sentiment.
  3. Subjective value at the margin (Menger 1871; Jevons 1871; Walras 1874). Value is not intrinsic to objects; it is conferred by valuing minds. Emotonomics radicalizes marginalism: the act of valuation — attention itself — is promoted from the shadow price behind every preference to the explicit, measurable primary factor.

What the field drops from the classical canon is the labor theory of value in both its Ricardian and Marxian forms — not by refutation but by succession: where machines absorb labor, labor time loses its claim to be the measure, a conclusion Marx himself reached first (see §IV).

III. The knowledge economy — and what lies beyond the information age

The knowledge-economy literature documented a phase change in what economies produce: knowledge production as a measurable sector (Machlup 1962; Porat 1977), the knowledge worker as the representative agent (Drucker 1969), theoretical knowledge as the “axial principle” of post-industrial society (Bell 1973), and ideas as the engine of endogenous growth (Romer 1990). Benkler (2006) showed the productive form this takes at the network scale: commons-based peer production, wealth created by uncompensated contribution.

The information age is the distribution phase of that economy: the cost of moving information to anyone approaches zero. Its exhaustion is now visible in its own success. When every good whose cost is information-bound deflates toward free, the residual — the thing that cannot be copied, cached, or compressed — is the finite attending time of human beings, and the affective quality of that attending. Beyond the information age lies the economy of what information was always for: being attended to, and mattering.

The platform era is the transitional, contradictory form of that economy. Platforms already run on attention-value — they sell it (Wu 2016) — but they price it privately, own the measurement apparatus, and return none of the yield to its source (Zuboff 2019). In the language of the audience-commodity debate: the audience still works unpaid (Smythe 1977; Terranova 2000). The transitional form proves the value theory while violating the distribution it implies. A field is needed precisely because the practice has outrun the economics.

IV. The techno-Marxist horizon: the utopia that lacked a mechanism

Marx’s Grundrisse — in the passage known as the “Fragment on Machines” (Marx 1857–58) — contains the tradition’s most prescient argument: as large-scale industry develops, the creation of real wealth comes to depend “on the general state of science and on the progress of technology,” the general intellect, rather than on direct labor time; whereupon labor time ceases to be the measure of value, and production founded on exchange value begins to break down. The post-operaist school made this the center of its analysis of the present: immaterial labor (Lazzarato 1996), the multitude whose whole social life becomes productive (Hardt & Negri 2000; Virno 2004). The contemporary techno-utopian synthesis draws the political conclusion: information technology points past capitalism toward post-scarcity abundance (Mason 2015; Srnicek & Williams 2015; Bastani 2019) — a future that capitalist realism renders difficult even to imagine (Fisher 2009).

Emotonomics accepts a substantial part of this diagnosis. The general intellect is real: the commons of shared knowledge, culture, and affect is the modern force of production, and the value it throws off is today captured privately by platform enclosure. The techno-Marxist utopia — abundance shared by the many who produce it socially — is retained as a normative horizon, and this document labels it as exactly that: a normative commitment, not a theorem.

What the tradition never solved is the mechanism. The socialist calculation debate (Mises 1920; Lange 1936; Hayek 1945) established that a planner cannot gather the dispersed knowledge that prices condense; every planned implementation of the utopia founders on measurement. The techno-Marxist literature answers with automation and politics but not with a valuation mechanism — it inherits Marx’s critique of measure without replacing the measure.

Here the two traditions are made to complete each other. The Hayekian market is the only known instrument that can measure the general intellect’s output; the Marxian commons is the only honest account of who produces it. Emotonomics binds them: markets discover the value; the protocol — open, neutral, and automatic — distributes it to the commons that produced it. What the plan could not compute and the platform would not share, the protocol can do both: distribution without a distributor. The blockchain matters to this argument for Coasean reasons: it collapses the transaction and verification costs (Coase 1937) that previously made firm- or state-mediated capture the only feasible organization of attention-value (Nakamoto 2008; Buterin 2014).

V. The contribution: emotonomics defined

Emotonomics is the branch of economics that studies attention as the source of value, emotion as its measure, and protocols as its distribution mechanism. Its axioms:

Axiom 1 — Attention is the primary scarce factor

Each person’s attending time is finite, non-storable, and non-transferable in stock; it can only be spent, and it is spent on something in every waking moment. In an economy where information goods are abundant, all downstream value chains bottleneck through attention (Simon 1971).

Axiom 2 — Emotion is the price signal of attention

Attention is not homogeneous; its economic weight is set by the affect that accompanies it. What is loved is what attention returns to. Sentiment is therefore the quality-weighting of attention — the signal that turns raw attending into valuation, as sympathy turns observation into approbation in Smith (1759).

Axiom 3 — The gesture is the unit transaction

A gesture is attention made costly and therefore credible — the emotonomic analogue of a signal in Spence (1973): an act (a transfer, a post, a welcome, an interaction) that verifiably commits scarce attention toward another. Gestures are to emotonomics what transactions are to monetary economics. Where Veblen (1899) described conspicuous consumption — spending wealth to command attention — the gesture inverts it: spending attention to confer worth.

Axiom 4 — Value scales with engagement velocity

By analogy with the equation of exchange (Fisher 1911), the emotonomic value of a network varies with the volume of gestures and the velocity of their circulation, not with idle balances. Wealth in an attention economy is measured in circulation of regard — connection, not hoarding — and network value grows nonlinearly in connected participants (Metcalfe 2013).

Axiom 5 — Yield follows attention to its source

The surplus generated by collective attention belongs, pro rata and automatically, to those who give and hold it. This is the axiom the platform economy violates and the planned economy cannot compute. Its implementable form is the reflection: a protocol-level dividend in which every trade distributes a fixed share to all holders without claim, custodian, or discretion — a market-mediated commons dividend.

On these axioms the reference implementation is readable as an experimental apparatus: a fixed-supply token whose transfers are gestures (fee-free wallet-to-wallet, priced only at the market interface); reflections distributing trade surplus to all holders (Axiom 5); an on-chain registry pricing named gestures — welcome, post, interaction — with public amounts, limits, and cooldowns (Axioms 2–3); and open market pairing for price discovery (the Hayekian instrument, §II). Attention enters as gestures; emotion enters as sentiment-weighted engagement; the market prints the measurement; the protocol distributes the yield. LUV is thereby proposed as one global sentiment indicator: an on-chain, manipulation-resistant index of what is loved, standing to affective value roughly as a price index stands to purchasing power.

VI. Testable propositions

  1. Velocity dominance. Engagement velocity (gesture volume × circulation) predicts network value better than holder count or idle balance concentration.
  2. Distribution breadth. Reflection-bearing assets exhibit measurably wider and more stable holder distributions than mechanically comparable non-reflective assets.
  3. Sybil repricing. Pricing rewards in verified social gestures rather than wallet addresses shifts rent from Sybil farmers to genuine participants (one person, one gesture), observable in claim-distribution entropy.
  4. Sentiment indication. Aggregated gesture flow correlates with independent sentiment measures at the community scale, qualifying protocol-level gesture indices as leading indicators.

The normative program — that attention-value ought to yield to its source, and that protocol distribution ought to displace platform capture — is a commitment of the field, argued in §IV but not provable by data. Speculative extensions (economy-wide sentiment targeting; gesture-based public statistics) are so labeled.

VII. Objections answered

“Attention economics already exists.” As a theory of attention as scarce cost — allocation (Simon 1971), capture (Wu 2016), monetization (Franck 1998). Emotonomics differs in both halves of its value claim: attention as the source of value (not merely a constraint on consuming it), and a distribution mechanism returning the yield to the attender. No prior attention literature contains Axiom 5.

“This is the labor theory of value in new clothes.” No. Attention is not labor time: it is not homogeneous (Axiom 2 weights it by affect), not additive across persons, and confers value at the margin subjectively, in full continuity with Menger (1871). What is kept from the Marxian line is the sociology of production (the general intellect), not the classical measure Marx himself declared obsolescent (Marx 1857–58).

“Tokenized attention is surveillance capitalism with extra steps.” The comparison inverts at the property relation. Surveillance capitalism’s defining feature is not measurement but unilateral appropriation of the measured (Zuboff 2019). Here measurement is public protocol, participation is voluntary, the measuring apparatus is unowned, and the yield accrues to the attender — the exact negation of the appropriation.

“A free-market Marxism is incoherent.” Only if the market must also be the owner of the surplus and the plan must also be the measurer. The calculation debate settled which instrument can measure (Mises 1920; Hayek 1945); it never settled who must receive. Markets discover; protocols distribute; the commons receives. The synthesis assigns each tradition the task it demonstrably performs and relieves each of the task at which it demonstrably fails.

“Emotion is unmeasurable.” So was temperature before thermometry. Emotonomics does not claim to read hearts; it claims that costly gestures are revealed sentiment in exactly the sense that purchases are revealed preference — imperfect, gameable at the margin, and still the best aggregate instrument available once verification is cheap (Nakamoto 2008).


The experiment is live. The LUV protocol — the reference implementation of emotonomics — trades on Ethereum mainnet against the verified SHAMBA LUV contract.

💜 Buy 1,000,000,000,000 LUV with USDC — one trillion, preset on Uniswap

Or buy the trillion from any of Ethereum’s largest liquidity assets — each link presets the swap to exactly 1,000,000,000,000 LUV out (Uniswap routes through the LUV/WETH pool; official token contracts only):

Ξ from ETH
$ from USDC (official)
₮ from USDT
₿ from BTC (WBTC)
◈ from DAI

Set slippage to ~10% (LUV carries a 5% reflection fee — a lower tolerance will bounce the swap). Input contracts are the canonical mainnet tokens: USDC 0xA0b8…eB48, USDT 0xdAC1…1ec7, WBTC 0x2260…C599, DAI 0x6B17…1d0F. Live chart: luv.pythai.net/view.


References

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  • Benkler, Y. (2006). The Wealth of Networks. Yale University Press.
  • Buterin, V. (2014). “Ethereum: A Next-Generation Smart Contract and Decentralized Application Platform.” Whitepaper.
  • Castells, M. (1996). The Rise of the Network Society. Blackwell.
  • Coase, R. H. (1937). “The Nature of the Firm.” Economica 4(16): 386–405.
  • Davenport, T. H., & Beck, J. C. (2001). The Attention Economy. Harvard Business School Press.
  • Drucker, P. F. (1969). The Age of Discontinuity. Harper & Row.
  • Fisher, I. (1911). The Purchasing Power of Money. Macmillan.
  • Fisher, M. (2009). Capitalist Realism: Is There No Alternative? Zero Books.
  • Franck, G. (1998). Ökonomie der Aufmerksamkeit [The Economy of Attention]. Hanser.
  • Goldhaber, M. H. (1997). “The Attention Economy and the Net.” First Monday 2(4).
  • Hardt, M., & Negri, A. (2000). Empire. Harvard University Press.
  • Hayek, F. A. (1945). “The Use of Knowledge in Society.” American Economic Review 35(4): 519–530.
  • Hayek, F. A. (1978). “Competition as a Discovery Procedure.” In New Studies in Philosophy, Politics, Economics and the History of Ideas. University of Chicago Press.
  • Jevons, W. S. (1871). The Theory of Political Economy. Macmillan.
  • Lange, O. (1936). “On the Economic Theory of Socialism.” Review of Economic Studies 4(1): 53–71.
  • Lazzarato, M. (1996). “Immaterial Labor.” In Radical Thought in Italy. University of Minnesota Press.
  • Machlup, F. (1962). The Production and Distribution of Knowledge in the United States. Princeton University Press.
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  • Marx, K. (1867). Capital: A Critique of Political Economy, Vol. I.
  • Mason, P. (2015). PostCapitalism: A Guide to Our Future. Allen Lane.
  • Menger, C. (1871). Grundsätze der Volkswirtschaftslehre [Principles of Economics]. Braumüller.
  • Metcalfe, B. (2013). “Metcalfe’s Law after 40 Years of Ethernet.” IEEE Computer 46(12): 26–31.
  • Mises, L. von (1920). “Economic Calculation in the Socialist Commonwealth.” In Collectivist Economic Planning, 1935.
  • Nakamoto, S. (2008). “Bitcoin: A Peer-to-Peer Electronic Cash System.” Whitepaper.
  • Porat, M. U. (1977). The Information Economy. U.S. Department of Commerce.
  • Ricardo, D. (1817). On the Principles of Political Economy and Taxation. John Murray.
  • Robbins, L. (1932). An Essay on the Nature and Significance of Economic Science. Macmillan.
  • Romer, P. M. (1990). “Endogenous Technological Change.” Journal of Political Economy 98(5): S71–S102.
  • Shapiro, C., & Varian, H. R. (1999). Information Rules. Harvard Business School Press.
  • Simon, H. A. (1971). “Designing Organizations for an Information-Rich World.” In Computers, Communications, and the Public Interest. Johns Hopkins Press.
  • Smith, A. (1759). The Theory of Moral Sentiments. A. Millar.
  • Smith, A. (1776). An Inquiry into the Nature and Causes of the Wealth of Nations. W. Strahan & T. Cadell.
  • Smythe, D. W. (1977). “Communications: Blindspot of Western Marxism.” Canadian Journal of Political and Social Theory 1(3): 1–27.
  • Spence, M. (1973). “Job Market Signaling.” Quarterly Journal of Economics 87(3): 355–374.
  • Srnicek, N., & Williams, A. (2015). Inventing the Future. Verso.
  • Terranova, T. (2000). “Free Labor: Producing Culture for the Digital Economy.” Social Text 18(2): 33–58.
  • Veblen, T. (1899). The Theory of the Leisure Class. Macmillan.
  • Virno, P. (2004). A Grammar of the Multitude. Semiotext(e).
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  • Zuboff, S. (2019). The Age of Surveillance Capitalism. PublicAffairs.

Read next: the field paper in its house edition · the LUV FAQ · source & audit.

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