Economics and Cognitive Science

Exponential discounted utility theory provides the normative standard for future discounting as it is employed throughout the social sciences. Tracing the justification for this standard through economics, philosophy and psychology, I’ll make what I believe is the best case one can for it, showing how a non-arbitrariness assumption and a dominance argument together imply that discounting ought to be exponential. Ultimately, however, I don’t find the case compelling, as I believe it is deeply flawed. Non-exponential temporal discounting is often rational–indeed, (...) the paragon of rationality. If this is correct, it’s an important point when considering policy interventions. Instead of trying to “fix” non-exponetial discounting because it is irrational and associated with negative life outcomes, we might instead focus attention on why the conditions obtain that make such discounting rational. (shrink)

I propose a novel model of the human ego (which I define as the tendency to measure one’s value based on extrinsic success rather than intrinsic aptitude or ability). I further propose the conjecture that ego so defined both is a non-adaptive by-product of evolutionary pressures, and has some evolutionary value as an adaptation (protecting self-interest). I explore ramifications of this model, including how it mediates individuals’ reactions to perceived and actual limits of their power, their ability to cope with (...) risk and uncertainty, and how this model may interpolate between rational choice models and cognitive psychology. I develop numerous examples and applications, including poverty traps, to demonstrate the model’s predictive power to elucidate a broad range of social phenomena. -/- [December 2018: Updated version to submit for publication. Expanded Sections 4 and 5.1, revised Section 5.7] -/- . (shrink)

I criticise, from a critical rationalist perspective, Israel Kirzner's notion of entrepreneurial alertness and Matthew McCaffrey's endorsement of Joseph Salerno's rival account of entrepreneurial judgment.

Should economics study the psychological basis of agents’ choice behaviour? I show how this question is multifaceted and profoundly ambiguous. There is no sharp distinction between ‘mentalist’ answ...

Modern business conditions require from economic entities to use appropriate methodological tools for assessing their activities. In economics science a fairly significant set of approaches, methods and techniques are now known that positively contribute to solving problems regarding ensure of competitiveness the economic entities. However, active influence of the internal and external environment on their activities, as well as the specificity of economic management the economic entities, requires the use of more effective methodological tools that can identify threats of the (...) external environment and explore the strengths of activity the economic entities. (shrink)

Economists and philosophers disagree about the concept of choice used in economics. Some behavioural economists argue that economic models of choice will improve as they become more and more psychologically realistic. Don Ross argues that this argument fails because its hidden assumption – that the economic concept of choice is the same as the psychological counterpart – is false. Ross conjectures that the economic concept of choice concerns a population-scale pattern of behavioural changes in response to incentives. We conduct a (...) survey experiment to test two predictions that Ross’s conjecture generates. The statistical analysis of our data confirms our predictions, although with some qualifications. In interpreting our results, we distinguish two versions of commonsensible realism, strong and weak, and propose the weak one as a plausible explanation of our results. Weak commonsensible realism also produces further testable hypotheses. Some methodological implications of our study are discussed. (shrink)

Como Gintis es economista senior y he leído algunos de sus libros anteriores con interés, esperaba más información sobre el comportamiento. Tristemente, hace las manos muertas de selección de grupos y fenomenología en los centros de sus teorías de comportamiento, y esto invalida en gran medida la obra. Peor aún, ya que muestra tan mal juicio aquí, cuestiona todo su trabajo anterior. El intento de resucitar la selección grupal por sus amigos en Harvard, Nowak y Wilson, hace unos años fue (...) uno de los mayores escándalos en biología en la última década, y he contado la triste historia en mi artículo ' altruismo, Jesús y el fin del mundo-cómo el Templeton Foundation compró una Cátedra de Harvard y atacó la evolución, la racionalidad y la civilización--una revisión de E.O. Wilson ' la conquista social de la tierra ' (2012) y Nowak y Highfield ' SuperCooperators ' (2012). ' A diferencia de Nowak, Gintis no parece estar motivada por el fanatismo religioso, sino por el fuerte deseo de generar una alternativa a las realidades sombrías de la naturaleza humana, fácil por la falta de comprensión (casi universal) de la biología humana básica y el pizeísmo en blanco de científicos del comportamiento, otros académicos y el público en general. Gintis ataca con razón (como ha tenido muchas veces antes) a economistas, sociólogos y otros científicos del comportamiento por no tener un marco coherente para describir el comportamiento. Claro, el marco necesario para comprender el comportamiento es un uno evolutivo. Desafortunadamente él no proporciona uno mismo (de acuerdo con sus muchos críticos y Yo coincido), y el intento de injertar el cadáver podrido de selección de grupo en cualquier teoría económica y psicológica que ha generado en sus décadas de trabajo, simplemente invalida todo su proyecto . Aunque Gintis hace un valiente esfuerzo para entender y explicar la genética, como Wilson y Nowak, él está lejos de ser un experto, y como ellos, las matemáticas sólo lo ciega a las imposibilidades biológicas y, por supuesto, esta es la norma en la ciencia. Como señaló Wittgenstein en la primera página de la cultura y el valor "no hay denominación religiosa en la que el mal uso de las expresiones metafísicas ha sido responsable de tanto pecado como lo ha sido en matemáticas." Siempre ha sido cristalino que un gen que causa comportamiento que disminuye su propia frecuencia no puede persistir, pero este es el núcleo de la noción de selección de grupo. Además, ha sido bien sabido y a menudo demostró que la selección de grupos sólo se reduce a la aptitud inclusiva (selección de los parientes), que, como Dawkins ha señalado, es sólo otro nombre para la evolución por la selección natural. Al igual que Wilson, Gintis ha trabajado en esta arena durante unos 50 años y todavía no lo ha entendido, pero después de que el escándalo se rompió, me tomó sólo 3 días para encontrar, leer y entender el trabajo profesional más relevante, como se detalla en mi artículo. Es alucinante darse cuenta de que Gintis y Wilson fueron incapaces de lograr esto en casi medio siglo. Discuto los errores de selección de grupo y fenomenología que son la norma en el mundo académico como casos especiales de la falta casi universal de entender la naturaleza humana que están destruyendo América y el mundo. Aquellos que deseen un marco completo hasta la fecha para el comportamiento humano de la moderna dos sistemas punto de vista puede consultar mi libros Talking Monkeys 3ª ed (2019), Estructura Logica de Filosofia, Psicología, Mente y Lenguaje en Ludwig Wittgenstein y John Searle 2a ed (2019), Suicidio pela Democracia 4ª ed (2019), La Estructura Logica del Comportamiento Humano (2019), The Logical Structure de la Conciencia (2019, Entender las Conexiones entre Ciencia, Filosofía, Psicología, Religión, Política y Economía y Delirios Utópicos Suicidas en el siglo 21 5ª ed (2019), Observaciones sobre Imposibilidad, Incompletitud, Paraconsistencia, Indecidibilidad, Aleatoriedad, Computabilidad, Paradoja e Incertidumbre en Chaitin, Wittgenstein, Hofstadter, Wolpert, Doria, da Costa, Godel, Searle, Rodych Berto, Floyd, Moyal-Sharrock y Yanofsky y otras. (shrink)

Desde Gintis é um economista sênior e eu li alguns de seus livros anteriores com interesse, eu estava esperando um pouco mais insights sobre o comportamento. Infelizmente, ele faz as mãos mortas de seleção de grupo e fenomenologia para as peças centrais de suas teorias de comportamento, e isso em grande parte invalida o trabalho. Pior, uma vez que ele mostra um julgamento tão ruim aqui, ele chama a questão de todo o seu trabalho anterior. A tentativa de ressuscitar a (...) seleção de grupos por seus amigos em Harvard, Nowak e Wilson, há alguns anos foi um dos maiores escândalos em biologia na última década, e eu tenho narrado a triste história no meu artigo ' altruísmo, Jesus e do fim do mundo-como o Templeton Foundation comprou uma cátedra de Harvard e atacou evolução, racionalidade e civilização-uma revisão de E.O. Wilson 'A Conquista social da Terra' (The Social Conquest of Earth) (2012) e Nowak e Highfield ' SuperCooperators ' (2012). Ao contrário de Nowak, Gintis não parece ser motivado pelo fanatismo religioso, mas pelo forte desejo de gerar uma alternativa para as realidades sombrias da natureza humana, facilitada pela (perto Universal) falta de compreensão da biologia humana e Blank Slateism (tábua rasa) de cientistas comportamentais, outros acadêmicos e o público em geral. Gintis justamente ataca (como ele tem muitas vezes antes) economistas, sociólogos e outros cientistas comportamentais por não ter um quadro coerente para descrever o comportamento. Naturalmente, a estrutura necessária para entender o comportamento é um evolucionário. Infelizmente, ele não consegue fornecer um próprio (de acordo com seus muitos críticos e eu concordo), e a tentativa de transplantar o cadáver podre de seleção de grupo para qualquer teorias econômicas e psicológicas que ele gerou em suas décadas de trabalho, meramente invalida todo o seu projeto. Embora Gintis faz um esforço valente para entender e explicar a genética, como Wilson e Nowak, ele está longe de ser um perito, e como eles, a matemática apenas o cega para as impossibilidades biológicas e, claro, esta é a norma na ciência. Como Wittgenstein famosa observou na primeira página de cultura e valor "não há nenhuma denominação religiosa em que o uso indevido de expressões metafísicas tem sido responsável por tanto pecado como tem em matemática." Sempre foi evidente que um gene que provoca comportamento que diminui a sua própria frequência não pode persistir, mas este é o cerne da noção de seleção de grupo. Além disso, tem sido bem conhecido e muitas vezes demonstrado que a seleção de grupo apenas reduz a aptidão inclusiva (seleção de parentes), que, como observou Dawkins, é apenas um outro nome para a evolução pela seleção natural. Como Wilson, Gintis tem trabalhado nesta arena por cerca de 50 anos e ainda não entendeu, mas depois que o escândalo quebrou, levei apenas 3 dias para encontrar, ler e entender o trabalho profissional mais relevante, como detalhado no meu artigo. É incompreensível para perceber que Gintis e Wilson foram incapazes de realizar isso em quase meio século. Discuto os erros de seleção de grupo e fenomenologia que são a norma na Academia como casos especiais da falha universal perto de entender a natureza humana que estão destruindo a América e o mundo. Aqueles que desejam um quadro até à data detalhado para o comportamento humano da opinião moderna dos dois sistemas consultar meu livros Falando Macacos 3ª Ed (2019), A Estrutura Lógica da Filosofia, Psicologia, Mente e Linguagem em Ludwig Wittgenstein e John Searle 2a Ed (2019), Suicídio Pela Democracia,4aEd(2019), Entendendo as Conexões entre Ciência, Filosofia, Psicologia, Religião, Política e Economia Artigos e Análises 2006-2019 (2019), Ilusões Utópicas Suicidas no 21St século 5a Ed (2019), A Estrutura Lógica do Comportamento Humano (2019), e A Estrutura Lógica da Consciência (2019) e outras. (shrink)

The monograph reveals challenging issues of small and medium enterprises development in the European Union and East-Partnership countries. Special attention is paid to a new paradigm of financing investments and fostering innovations at all levels of legal entities including SMEs, enhancing innovative entrepreneurship in conditions of global social and technological challenges as well as determining priority sectors for small and medium enterprises as drivers of economic growth. The authors of the monograph emphasize on such European approaches to financing SMEs as (...) crowd-funding and SME-bonds, analyze experience of applying fiscal instruments to support investment and innovations. The researchers underline the role of social investment as an innovative strategy for European SMEs that could be applied in Ukraine and East-partnership countries, suggest new conceptual approach to the evaluation of innovative business development. They also analyse trends of Ukrainian IT enterprises development in the context of modern information services in a global market. Additional attention is paid to the analysis of SMEs’ entrepreneurial potential in conditions of global social and technological changes, estimation effects of applying electronic governance technologies to provide administrative services by public authorities of various levels of governance. Finally, the researchers disclose economic mentality of legal entities as an informal side of financial assets and substantiate the necessity of creation entrepreneurial universities as drivers of innovative development of economy. The materials of the monograph will be useful to scholars, financial managers of companies, financial analysts, representatives of state bodies who implement the state policy in the field of SMEs development in the East-partnership countries, as well as students of economic universities. (shrink)

This paper identifies a new source that explains environmental behaviour: the presence of future tense marking in language. We predict that languages that grammatically mark the future affect speakers' intertemporal preferences and thereby reduce their willingness to address environmental problems. We first show that speakers of languages with future tense marking are less likely to adopt environmentally responsible behaviours and to support policies to prevent environmental damage. We then document that this effect holds across countries: future tense marking is an (...) important determinant of climate change policies and global environmental cooperation. The results suggest that there may be deep and surprising obstacles for attempts to address climate change. (shrink)

Nudge is a concept of policy intervention that originates in Thaler and Sunstein's (2008) popular eponymous book. Following their own hints, we distinguish three properties of nudge interventions: they redirect individual choices by only slightly altering choice conditions (here nudge 1), they use rationality failures instrumentally (here nudge 2), and they alleviate the unfavourable effects of these failures (here nudge 3). We explore each property in semantic detail and show that no entailment relation holds between them. This calls into question (...) the theoretical unity of nudge, as intended by Thaler and Sunstein and most followers. We eventually recommend pursuing each property separately, both in policy research and at the foundational level. We particularly emphasize the need of reconsidering the respective roles of decision theory and behavioural economics to delineate nudge 2 correctly. The paper differs from most of the literature in focusing on the definitional rather than the normative problems of nudge. (shrink)

Linguistic structures have recently started to attract attention from economists as determinants of economic phenomena. This paper provides the first comprehensive review of this nascent literature and its achievements so far. First, we explore the complex connections between language, culture, thought and behaviour. Then, we summarize the empirical evidence on the relationship between linguistic structures and economic and social outcomes. We follow up with a discussion of data, empirical design and identification. The paper concludes by discussing implications for future research (...) and policy. (shrink)

Over the last decade, neuroeconomic research has attracted increasing attention by economic modellers and methodologists. In this paper, I examine five issues about neuroeconomic modelling and methodology that have recently been subject to considerable controversy. For each issue, I explicate and appraise prominent neuroeconomists' findings, focusing on those that are claimed to directly inform economic theorizing. Moreover, I assess often-made assertions concerning how neuroeconomic research putatively advances the economic modelling of choice. In doing so, I combine review and critical arguments (...) to provide a methodological evaluation of neuroeconomists' contributions. (shrink)

So far, the methodological debate about neuroeconomics rarely refers to original methodological positions in the neurosciences. I confront one of the most influential ones, the constitutive explanations or mechanism approach, with methodological claims that directly relate the economic model of choice with neuronal embodiments, represented by Glimcher’s influential work. Constitutive explanations are composite and non-reductionist, therefore allow for recognizing complex causal interactions between basal neuronal phenomena and cognitive structures, also involving external symbolic media. I demonstrate the power of this methodology (...) in discussing the example of money, which Glimcher posits as one of the most important research tasks in further developing neuroeconomics. Whereas Glimcher justifies neuroscientific reductionism by presenting an evolutionary rationale for deploying formal economic models on particular modules enabling choice, the case of money reveals the need for mechanistic explanations that include a substantial role for cultural evolution, though recognizing causal interactions with basal neuronal mechanisms. (shrink)

There continues to be significant confusion about the goals, scope, and nature of modelling practice in neuroeconomics. This article aims to dispel some such confusion by using one of the most recent critiques of neuroeconomic modelling as a foil. The article argues for two claims. First, currently, for at least some economic model of choice behaviour, the benefits derivable from neurally informing an economic model do not involve special tractability costs. Second, modelling in neuroeconomics is best understood within Marr’s three-level (...) of analysis framework and in light of a co-evolutionary research ideology. The first claim is established by elucidating the relationship between the tractability of a model, its descriptive accuracy, and its number of variables. The second claim relies on an explanation of what it can take to neurally inform an economic model of choice behaviour. 1 Introduction2 Neurally Informed Models of Choice: A Case Study2.1 A case study on risk-sensitive choice2.1.1 Target and modelling framework2.1.2 Research question and hypotheses2.1.3 Competitive models of risk-sensitive behaviour2.1.4 Model-based fMRI: from economics to brains and back2.2 Neurally informed modelling3 Tractability: When Does Size Matter?4 Neural Integration and the Co-evolutionary Research Ideology5 Conclusion. (shrink)

Many economic theorists hold that social institutions can lead otherwise irrational agents to approximate the predictions of traditional rational choice theory. But there is little consensus on how institutions do so. I defend an economic internalist account of the institution-actor relationship by explaining economic rationality as a feature of individuals whose decision-making is aided by institutional structures. This approach, known as the subjective transaction costs theory, represents apparently irrational behavior as a rational response to high subjective transaction costs of thinking (...) and deciding. The theory has two attractive features. First, it reconciles rational choice theory with the increasing body of evidence cataloguing putative errors in economic decision-making. Second, it vindicates the explanatory power of individual choice against externalist challenges; the subjective transaction costs theory keeps economic rationality in the head. (shrink)

Neuroeconomics is a research programme founded on the thesis that cognitive and neurobiological data constitute evidence for answering economic questions. I employ confirmation theory in order to reject arguments both for and against neuroeconomics. I also emphasize that some arguments for neuroeconomics will not convince the skeptics because these arguments make a contentious assumption: economics aims for predictions and deep explanations of choices in general. I then argue for neuroeconomics by appealing to a much more restrictive (and thereby skeptic-friendly) characterization (...) of the aims of economics. (shrink)

Existing economic models of prosociality have been rather silent in terms of proximate psychological mechanisms. We nevertheless identify the psychologically most informed accounts and offer a critical discussion of their hypotheses for the proximate psychological explanations. Based on convergent evidence from several fields of research, we argue that there nevertheless is a more plausible alternative proximate account available: the social motivation hypothesis. The hypothesis represents a more basic explanation of the appeal of prosocial behavior, which is in terms of anticipated (...) social rewards. We also argue in favor of our own social motivation hypothesis over Robert Sugden’s fellow-feeling account (due originally to Adam Smith). We suggest that social motivation not only stands as a proximate account in its own right but also provides a plausible scaffold for other more sophisticated motivations (e.g., fellow-feelings). We conclude by discussing some possible implications of the social motivation hypothesis on existing modeling practice. (shrink)

Recent work in the behavioral sciences asserts that we are subject to a variety of cognitive biases. For example, we mourn losses more than we prize equivalently sized gains; we are more inclined to believe something if it matches our previous beliefs; and we even relate more warmly or coldly to others depending on whether the coffee cup we are holding is warm or cold. Drawing on this work, case law and legal scholarship have asserted that we have reason to (...) select legal norms, or revise existing norms, so as to eliminate the influence of these and other cognitive biases. -/- In this Article, I critically evaluate whether and when this reaction is warranted. I begin by contrasting predominantly descriptive definitions of bias, on which bias is merely deviation from a predictive model, with prescriptive definition of bias, on which biased conduct is conduct that actors ought not do. I then similarly contrast the behavioral-scientific concepts of statistical significance and effect size with the concept of significance required to justify legal conclusions. -/- With this apparatus in place, I go on to consider a variety of examples where legal commentators and decisionmakers have worried about the effects of cognitive bias on law. I argue that many of these cognitive biases (for example, our aversion to losses), while reflecting deviations from behavioral scientists’ models of human behavior, are not normatively objectionable and so give us no reason to revise our legal norms to eliminate their effect. Others (e.g., the effect of judges’ hunger on their decisionmaking), however, constitute biases under both descriptive and prescriptive definitions and therefore give us good reason to revise our legal norms. -/- I conclude by contrasting my conclusion — that evaluation of cognitive biases’ legal significance must explicitly evaluate the normative arguments for and against the model of decisionmaking in question on a case-by-case basis — with the arguments of influential scientists and legal commentators like Daniel Kahneman and John Mikhail, who treat cognitive heuristics and biases as more broadly desirable or objectionable. (shrink)

In this paper I examine Don Ross’s application of unificationism as a methodological criterion of theory appraisal in economics and cognitive science. Against Ross’s critique that explanations of the preference reversal phenomenon by the ‘heuristics and biases’ programme is ad hoc or ‘Ptolemaic’, I argue that the compatibility hypothesis, one of the explanations offerd by this programme, is theoretically and empirically well-motivated. A careful examination of this hypothesis suggests several strengths of a procedural approach to modelling cognitive processes underlying individual (...) decision making, compared to a multiple-agent approach which Ross promotes. I argue that the debate between economists and psychologists are both theoretical and empirical, but cannot be resolved by appealing to the ideal of unification. (shrink)

For a little more than twenty years, the terminology used in the economics of science has changed significantly with the development of expressions such as ?new economics of science? (NES) and ?economics of scientific knowledge? (ESK). This article seeks to shed light on the use of these different terminologies by studying the work of the economist of science Paul David. We aim to use his work as a case study in order to argue for a difference between NES and ESK (...) and to show, in a concrete way, the sociological ambiguities now going on in the economics of science. (shrink)

Journal of Economic Methodology, Volume 19, Issue 1, Page 81-84, March 2012.

In the recent literature at the interface between economics, biology and neuroscience, several authors argue that by adopting an interdisciplinary approach to the analysis of decision making, economists will be able to construct predictively and explanatorily superior models. However, most economists remain quite reluctant to import biological or neural insights into their account of choice behaviour. In this paper, I reconstruct and critique one of the main arguments by means of which economists attempt to vindicate their conservative position. Furthermore, I (...) develop an alternative defense of the thesis that economists justifiably rely on a methodologically distinctive approach to the modelling of choice behaviour. (shrink)

The paper criticises psychologism, i.e. the idea that economics is a science of behaviour or that it must be rooted in such a science. The argument is based on Hayek and Popper's thesis that economics studies spontaneous order. First, it is argued that if economics is to retain its traditional distance from psychology, it has to abandon the notion that it is concerned with behaviour. Then it is shown that there is no simple one-way causation from the psychological to the (...) social and that the study of spontaneous order must be non-psychological. Further, an attempt is made to clarify some misunderstandings about the concept of spontaneous order and the differences between psychologism and methodological individualism. Finally, it is suggested that the difference between the psychological and the social can be described conveniently in Popperian terms as the difference between the ?World 2? and ?World 3? phenomena. (shrink)

This paper provides a historical overview of cognitive psychology and computational theories in cognitive science. Critiques of the computational model are discussed. The perspective of the evolution of mind and brain provides an alternative model such as that presented by Merlin Donald in terms of the “Hybrid Mind.” This “naturalist” model is also consistent with what we know of cognitive development in childhood. It provides a better understanding of cognition in situated context than the computational alternatives and is a better (...) fit as a model of mind for the social sciences, including for economic decision making. (shrink)

My brand of evolutionary economics recognizes, highlights, that modern economies are always in the process of changing, never fully at rest, with much of the energy coming from innovation. This perspective obviously draws a lot from Schumpeter. Continuing innovation, and the creative destruction that innovation engenders, is driving the system. There are winners and losers in the process, but generally the changes can be regarded as progress. The processes through which economic activity and performance evolve has a lot in common (...) with evolution in biology. In particular, at any time the economy is marked by considerable variety, there are selection forces winnowing on that variety, but also continuing emergence of new ways of doing things and often economic actors. But there also are important differences from biological evolution. In particular, both innovation and selection are to a considerable degree purposive activities, often undertaken on the basis of relatively strong knowledge. (shrink)

C. Howson’s probabilistic logic as a comprehensive methodological account of scientific inference, which avoids Hume’s inductive skepticism, is discussed against the background of the latter’s quantitative theory of money. Hume’s theory leads to two causal accounts that may appear to be contradictory. As the more general one suggests neutrality of money, while the more descriptive attributes causal influence to specie-flow mechanism of money. The former is grounded by a counterfactual reasoning. The discussion of recent examples of bayesian counterfactual models leads (...) to the conclusion that despite the possibility of a uniform account of Hume’s theory of money, it seems beyond the scope of the Bayesian probabilistic logic offered by Howson. (shrink)

Gul and Pesendorfer provide the best-known and most strident of a set of recent backlashes by economists against methodological revolutions promoted by some behavioural economists and neuroeconomists. Philosophers are likely to read these responses as merely reactionary, especially as their rhetoric goes beyond what their explicit argumentation validly supports. The present paper identifies the accurate insight on Gul and Pesendorfer's part that explains the impact of their philosophically ragged polemic. This centers on importantly different concepts of choice in the psychological (...) and economic literatures. The psychologist's idea of choice descends from a culturally familiar folk construct generally thought to lie within everyone's unreflective personal acquantance. By contrast, the economist's concept of choice refers to abstract sensitivity of behavioral patterns to changes in incentives, typically at the statistical level of populations. It is reasonable to regard this abstract idea as the basic subject matter of economics, just as Gul and Pesendorfer assert. Appreciating the difference between psychological choice and economic choice is crucial for understanding the methodologically schizophrenic character of neuroeconomics. Much of it merely identifies neural correlates of elements from models in the psychology of valuation. However, the neuroeconomics worthy of the name, as constructed by Glimcher and his collaborators, aims to unify economics and neuroscience. It so far fails to do so in an entirely satisfactory way because it falsely assumes that the conception of choice in psychology and economics is already shared. (shrink)

The present book makes a particularly engaging case for a whole range of policy implications of behavioural economics. The rhetoric is highly compelling, and their approach is already having a significant impact. However, while the wider audience for whom the book is written may not be interested in the justification of the underlying principles, it is precisely the cracks in the foundations that pose the greatest threat to the project. For example, if Thaler and Sunstein are to have any chance (...) of their 'libertarian paternalism' meriting ‘libertarian’ credentials, it is essential that the re-engineering of choice architecture not be guided by any particular political or moral agenda. Their claim here is that what makes a nudge beneficial is not that it steers people in the direction of behaviour that is objectively ‘good’ but rather in the direction of behaviour that they won’t regret. That said, there are a number of points where it is hard to shake the suspicion that Thaler and Sunstein help themselves rather conveniently to the idea that, if a person’s choices are largely a function of various framing effects, say, then overriding those choices violates no autonomy, since there was no autonomy there to be violated. -/- In this review, I raise four concerns not adequately addressed in the book. -/- (1) Thaler and Sunstein are misleading in their use of the term ‘paternalism’, which is standardly defined as a matter of interfering with a competent person’s choices out of a motivation to improve that person’s welfare. As Thaler and Sunstein use the term, however, it becomes equivalent to beneficence: when the government acts to improve people’s welfare by influencing choices in any way, according to them, it is engaging in paternalism. -/- (2) Their appeal to the resistibility of nudges is a centrepiece of the account and particularly of its claim to be ‘libertarian’, but given what they themselves write about how effective nudges are and how poor we are at even noticing the influences to which we are subject, it is entirely unclear why we should expect nudges to be easily resisted. -/- (3) Thaler and Sunstein generally align themselves with the perspective of planners who half-pose the presumptuously rhetorical question, ‘Who would really mind?’ But the question is not just whether people would object, if they were consulted. People also care about whether they are consulted and whether they understand the influences to which they are subject. Thaler and Sunstein advise choice architects against being secretive about nudges, but this espousal of principle, in a late chapter responding to objections, is not borne out by the discussion in the rest of the book, which focuses almost exclusively and rather effusively on the possibilities for channelling individuals’ choice-behaviour toward better outcomes. -/- (4) Thaler and Sunstein tend to downplay alternative approaches to improving decision making that are perfectly compatible with the behavioural economics and social psychology discussed by Thaler and Sunstein, but less paternalistic. For example, there is a growing body of research on how to construct contexts of interpersonal deliberation to generate stable solutions to collective action problems, by improving people’s collective decision-making capacities, rather than subjecting them to nudges. More generally, one comes up with very different recommendations if one thinks of the problems to which nudges are supposed to be a solution not as a matter of human failings per se, but rather as a socially and historically contingent misfit between the decision-making capacities that particular policies and institutions require of individuals and the capacities that people actually have. Conceived in the latter way – in terms of what I have elsewhere dubbed ‘autonomy gaps’, it becomes an open question whether what is called for is a choice architecture that makes it easier to avoid regrettable decisions or, rather, various measures to improve individuals’ decision-making capacities, say, through education, ‘buddy’ arrangements, decision-making heuristics, etc. (shrink)

The contribution that neurobiological data provide us to comprehend the psychological aspects of economic decision-making is critically examined. First, different kinds of correspondences between neural events and mental activities are identified. On the basis of the distinctions made, some recent studies are selected, each of which focuses on a different stage of decision-making and employs a different set of neurobiological data. The thorough analysis of each study suggests that neuro-mental correspondences do not have an evidentiary function but rather a heuristic (...) function, since they can point to the presence of specific differences between phenomena considered homogeneous or to the existence of a relationship between two mental activities which, however, have to be tested by psychological investigations. (shrink)

The adequacy of currently popular accounts of the genetic basis for psychological altruism, including inclusive fitness, reciprocal altruism, sociality, and group selection, is questioned. Problems exist both with the evidence cited as supporting these accounts and with the relevance of the accounts to what is being explained. Based on the empathy-altruism hypothesis, a more plausible account is proposed: generalized parental nurturance. It is suggested that four evolutionary developments combined to provide a genetic basis for psychological altruism. First is the evolution (...) in mammals of parental nurturance. Second is the evolution in humans of the ability to see others as sentient, intentional agents and, thereby, to recognize other's needs, even subtle ones. Third is the evolution in humans of tender, empathic emotions as an important component of parental nurturance. Fourth is the evolution in humans of cognitive capacities that make it possible to generalize tender, empathic feelings and, thereby, altruism beyond offspring. (shrink)

Neuroeconomic studies are liable to fall into the reverse inference fallacy, a form of affirmation of the consequent. More generally neuroeconomics relies on two problematic steps, namely the inference from brain activities to the engagement of cognitive processes in experimental tasks, and the presupposition that such inferred cognitive processes are relevant to economic theorizing. The first step only constitutes the reverse inference fallacy proper and ways to correct it include a better sense of the neural response selectivity of the targeted (...) brain areas and a better definition of relevant cognitive ontologies for neuroeconomics. This second way also allows increased coherence between the cognitive processes actually involved in neuroeconomics experiments and the theoretical constructs of economics. We suggest means of increasing neural response selectivity in neuroeconomic experimental paradigms. We also discuss how the choice of cognitive ontologies can both avoid implicit reductionist strategies (from economic constructs to neural patterns) and irrelevance, as cognitive processes engaged in experimental tasks may lack immediate bearing on the study of economic behavior. With these joint improvements neuroeconomics can be a progressive science. (shrink)

The recent advancements at the interface between economics and neuroscience have encouraged neuroeconomists to raise several criticisms concerning the economic theory of choice. At present, however, there is little agreement with regard to the theoretical presuppositions and the explanatory aims of neuroeconomics. In this paper, I assess the scope and the significance of neuroeconomists' divergences, casting doubt on their attempts to provide a unified theoretical framework for analysing human choice behaviour. Moreover, I highlight some respects in which methodologically informed considerations (...) can promote the consolidation of the neuroeconomic enterprise. (shrink)

This is a review article of Ross (2005), a book which attempts to show the implications of cognitive science and economics for each other. Ross makes neoclassical economics central to the unification of the behavioural sciences, and defends its fundamental health against its critics. He locates the source of the empirical and conceptual problems besetting neoclassical economics in the mistaken assumption that the economic agents neoclassicism talks about refer directly to real, whole people. Ross argues that people are atypical as (...) economic agents; bugs and other non-social animals are much more typical, and neoclassical economics applies to them in a straightforward way. How then does economics apply to the atypical agents that people are? Ross’s answer builds on Ainslie (2001), who models people as being the result of strategic interactions between successive economic agents, and on Glimcher’s (2003) work on the neuroeconomics of game playing in monkeys which, Ross argues, can be extrapolated to humans. The author is impressed by the boldness of Ross’s vision, and the arguments offered to support it. However, doubts remain about Ross’s theory of the self, the lifespan of the proposed successive economic agents out of which real people are composed, the implicit suggestion that in economics approximations can be overcome, and finally the conclusiveness of Ross’s case against the need for revolutionary reappraisals of neoclassical economics. (shrink)

Analytical philosophy has been challenged by experimental approaches that make use of, among other things, cognitive science methods. In this paper we illustrate the benefits of merging philosophy with neuroscience, using an example of research in the foundations of social science. We argue that designing novel experiments to answer specific philosophical questions has several advantages compared to relying passively on neuroscientists' data. In this particular case, the data redirect attention towards topics ? such as inductive reasoning ? that are relatively (...) overlooked by mainstream social neuroscience. (shrink)

We critically review the methodological practices of two research programs which are jointly called?neuroeconomics?. We defend the first of these, termed?neurocellular economics? by Ross, from an attack on its relevance by Gul and Pesendorfer. This attack arbitrarily singles out some but not all processing variables as unimportant to economics, is insensitive to the realities of empirical theory testing, and ignores the central importance to economics of?ecological rationality?. GP ironically share this last attitude with advocates of?behavioral economics in the scanner?, the (...) other, and better known, branch of neuroeconomics. We consider grounds for skepticism about the accomplishments of this research program to date, based on its methodological individualism, its ad hoc econometrics, its tolerance for invalid reverse inference, and its inattention to the difficulties involved in extracting temporally lagged data if people's anticipation of reward causes pre-emptive blood flow. (shrink)

Many of the arguments for neuroeconomics rely on mistaken assumptions about criteria of explanatory relevance across disciplinary boundaries and fail to distinguish between evidential and explanatory relevance. Building on recent philosophical work on mechanistic research programmes and the contrastive counterfactual theory of explanation, we argue that explaining an explanatory presupposition or providing a lower-level explanation does not necessarily constitute explanatory improvement. Neuroscientific findings have explanatory relevance only when they inform a causal and explanatory account of the psychology of human decision-making.

(2010). ‘Neuroeconomics: hype or hope?’. Journal of Economic Methodology: Vol. 17, Neuroeconomics: Hype or Hope?, pp. 103-106. doi: 10.1080/13501781003756667.

In this paper, we examine different forms of altruism. We commence by analysing the definition and, after clarifying its conditions for altruism, we argue that it is not in with everyday linguistic usage of the term. We therefore consider a definition, which we likewise refine, and argue that it better reflects ordinary language use. Both behavioural and psychological approaches define altruism descriptively and thus fail to capture an important aspect of altruism, namely its normative component. Altruism, we argue, is a, (...) i.e. one which embodies both positive and normative components. We discuss and compare various formulations of this normative component. (shrink)

Advocates of neuroeconomics sometimes argue that one of the most surprising findings in neuroeconomic studies is that expected utilities are literally computed in the brain. This claim is scrutinized closely in the paper. Not surprisingly, the tenability of the claim is shown to depend critically on what is meant by ?literal computation? and ?surprising?. It is argued that the findings do not show that expected utilities are literally computed, if by ?literal computation? we mean a particular kind of mental activity (...) (namely, deliberate choice). It is also argued that the findings do not lend empirical support to expected utility theory, if that theory is taken to be a theory about individual and aggregate behavior. Findings that in some particular tasks expected utility theory predicts neural activity fairly accurately do not imply that expected utility theory also yields accurate predictions of behavior at ?higher levels?, individual behavior and aggregate behavior. What the findings do suggest, it is argued, is that expected utility theory is useful for understanding decision-making at the neural level. Once one accepts that expected utility theory provides a potentially fruitful tool for predicting neural activity in neurobiology, the findings cease to be surprising. (shrink)

Contrary to what is claimed by Gul and Pesendorfer (2008), in this paper I argue that neuroscience and economics can meet in ways that speak to the interests of economists. As Bernheim (2009) argues, economists seem to be primarily interested in novel models that link ?traditional? environmental variables (such as prices and taxes) to choice behavior in a more accurate way than existing models. Neuroscience might be helpful here, since especially computational neuroscience is also in the business of mapping environmental (...) variables on to behavior. Given that experimental findings seem to show that choice behavior displays great context-sensitivity, I discuss two tentative ways in which neuroscience might be helpful. Neuroscience might be able to identify a multitude of environmental variables and the choice algorithms in the brain that they activate. Going this way might lead to novel models that differ markedly from standard economic models. Alternatively, neuroscience might be able to provide more theoretical guidance as to how individuals model the situations they are in. In principle, this route might leave standard economic models largely intact while improving their predictive record. (shrink)

ABSTRACT The past fifteen years or so have witnessed considerable progress in our understanding of how the human brain works. One of the objectives of the fast-growing field of neuroscience is to deepen our knowledge of how the brain perceives and interacts with the external world. Advances in this direction have been made possible by progress in brain imaging techniques and by clinical data obtained from patients with localized brain lesions. A relatively new field within neuroscience is neuroeconomics, which focuses (...) on individual decision making and aims to systematically classify and map the brain activity that correlates with decision-making that pertains to economic choices. Neuroeconomic studies rely heavily on functional magnetic resonance imaging (fMRI), which measures the haemodynamic response (that is, changes in the blood flow) related to neural activity in the brain. (shrink)

Abstract: Don Ross’ Economic Theory and Cognitive Science (2005) provides an elaborate philosophical defense of neoclassical economics. He argues that the central features of neoclassical theory are associated with what he calls the Robbins-Samuelson argument pattern and that it can be reconciled with recent developments in experimental and behavioral economics, as well as contemporary cognitive science. This paper argues that Ross’ Robbins-Samuelson argument pattern is not in the work of either Robbins or Samuelson and in many ways is in conflict (...) with their own versions, and defenses, of neoclassical theory. (shrink)

Nobody in this debate questions the point that neuroeconomics remains full of potential, and little else as yet. If so, that really is progress of sorts. I was getting afraid that we would have to open nominations for the Captain Ahab Award for obsessive work on the promotion of neuroeconomics.

Neuroeconomics is the newest of the economic sciences with a focus on how the embodied human brain interacts with its institutional and social environment to make economic decisions. This paper presents an overview of neuroeconomics methods and reviews a number of results in this emerging field of study.

As an emerging discipline, neuroeconomics faces considerable methodological and practical challenges. In this paper, I suggest that these challenges can be understood by exploring the similarities and dissimilarities between the emergence of neuroeconomics and the emergence of cognitive and computational neuroscience two decades ago. From these parallels, I suggest the major challenge facing theory formation in the neural and behavioural sciences is that of being under-constrained by data, making a detailed understanding of physical implementation necessary for theory construction in neuroeconomics. (...) Rather than following a top-down strategy, neuroeconomists should be pragmatic in the use of available data from animal models, information regarding neural pathways and projections, computational models of neural function, functional imaging and behavioural data. By providing convergent evidence across multiple levels of organization, neuroeconomics will have its most promising prospects of success. (shrink)