Don Ross

We consider the potential contribution of economics to an interdisciplinary research partnership between sociology and neuroscience. We correct a misunderstanding in previous literature over the understanding of humans as ‘social animals’, which has in turn led to misidentification of the potential relevance of game theory and the economics of networks to the social neuroscience project. Specifically, it has been suggested that these can be used to model mindreading. We argue that mindreading is at best a derivative and special basis for social coordination, whereas the general and pervasive phenomenon on which it depends is mindshaping. We then outline the foundations of Conditional Game Theory as a mathematical model of mindshaping, which extends game theory without displacing its classic solution concepts, and which exploits economists’ experience in modeling networks.

Political scientists have conventionally assumed that achieving democracy is a one-way ratchet. Only very recently has the question of “democratic backsliding” attracted any research attention. We argue that democratic instability is best understood with tools from complexity science. The explanatory power of complexity science arises from several features of complex systems. Their relevance in the context of democracy is discussed. Several policy recommendations are offered to help stabilize current systems of representative democracy.

We consider motivations for acknowledging that people participate in multiple levels of economic agency. One of these levels is characterized in terms of subjective utility to the individual; another, frequently observed, level is characterized in terms of utility to social groups with which people identify. Following Bacharach, we describe such groups as ‘teams’. We review Bacharach’s theory of such identification in his account of ‘team reasoning’. While this conceptualization is useful, it applies only to processes supported by deliberation. As this is only one of a range of causal mechanisms underlying behaviour by humans and other strategic agents, a more general account is desirable. We then argue that Stirling’s account of ‘conditional games’ achieves the desired generalization.

The idea that democracy is under threat, after being largely dormant for at least 40 years, is looming increasingly large in public discourse. Complex systems theory offers a range of powerful new tools to analyse the stability of social institutions in general, and democracy in particular. What makes a democracy stable? And which processes potentially lead to instability of a democratic system? This paper offers a complex systems perspective on this question, informed by areas of the mathematical, natural, and social sciences. We explain the meaning of the term 'stability' in different disciplines and discuss how laws, rules, and regulations, but also norms, conventions, and expectations are decisive for the stability of a social institution such as democracy.

Evidence of risk aversion in laboratory settings over small stakes leads to a priori implausible levels of risk aversion over large stakes under certain assumptions. One core assumption in statements of this calibration puzzle is that small-stakes risk aversion is observed over all levels of wealth, or over a â sufficiently largeâ range of wealth. Although this assumption is viewed as self-evident from the vast experimental literature showing risk aversion over laboratory stakes, it actually requires that lab wealth be varied for a given subject as one evaluates the risk attitudes of the subject. We consider evidence from a simple design that tests this assumption, and find that the assumption is strikingly rejected for a large sample of subjects from a population of college students. We conclude that the implausible predictions that flow from these assumptions do not apply to one specialized population widely used to study economic behavior in laboratory experiments.

Recently, philosophers have developed an extensive literature on social ontology that applies methods and concepts from analytic metaphysics. Much of this is entirely abstracted from, and unconcerned with, social science. However, Epstein (2015) argues explicitly that analytic social metaphysics, provided its account of ontological ‘grounding’ is repaired in specific ways, can rescue social science from explanatory impasses into which he thinks it has fallen. This version of analytic social ontology thus directly competes with radically naturalistic alternatives, in a way that helps to clarify what makes some metaphysics genuinely scientific (that is, part of the scientific enterprise and worldview). I consider this competition, marshal considerations against the value to social science of analytic metaphysics, and sketch a contrasting scientific metaphysics for understanding the implications of revisionist social ontology in unified scientific ontology.

The study of social norms sprawls across all of the social sciences but the the concept lacks a unified conception and formal theory. We synthesize an account that can be applied generally, at the social scale of analysis, and can be applied to empirical evidence generated in field and lab experiments. More specifically, we provide new analysis on representing norms for application in empirical political science, and in parts of economics that do not follow the recent trend among some behavioral economists to build models of the cognitive and motivational states of individuals taken “one at a time”. Foundational sources for our project are Bicchieri (2006, 2017), Kuran (1995), and Stirling (2012, 2016). From Bicchieri take that a norm exists in a social structure when a significant networked subset of individuals share descriptive and injunctive expectations that it regulates their interactions. From Kuran we take the insight that prevailing norms may come to be widely disliked by participants in networks but survive because norm suppress public displays of disenchantment. From Stirling we apply conditional game theory (CGT) to provide the technical resources for building our model of a norm-regulated social interaction. The example we use is a multi-player Investment/Trust Game.

Abstract In this paper, I argue that the traditional philosophical approach of taking cognitively and emotionally competent adult people to be the prototypical instances of agency should be revised in light of current work in the behavioral sciences. Logical consistency in application is better served by taking simple goal-directed and feedback-governed systems such as insects as the prototypes of the concept of agency, with people being agents ?by extension? in the same sense as countries or corporations

There is a strong formal analogy between proposition-wise supervenience of collective doxastic rationality on individual doxasticrationality and supervenience of social choice functions on individual choice functions. In light of this analogy, the basis for List and Pettit’s impossibility theorems can fruitfully be compared with the basis for Arrow’s. This helps to explain why List and Pettit can derive no impossibility theorem for set-wise supervenience. However, there are empirical reasons for doubting that set-wise supervenience of collective doxastic rationality on individual doxastic rationality is necessary; a systematic feedback relationship between the former and some individual behavioral dispositions is probably sufficient to dissolve mysteries about group agency. Group doxastic rationality need not supervene on individual rationality

A wave of recent work in metaphysics seeks to undermine the anti-reductionist, functionalist consensus of the past few decades in cognitive science and philosophy of mind. That consensus apparently legitimated a focus on what systems do, without necessarily and always requiring attention to the details of how systems are constituted. The new metaphysical challenge contends that many states and processes referred to by functionalist cognitive scientists are epiphenomenal. It further contends that the problem lies in functionalism itself, and that, to save the causal significance of mind, it is necessary to re-embrace reductionism. We argue that the prescribed return to reductionism would be disastrous for the cognitive and behavioral sciences, requiring the dismantling of most existing achievements and placing intolerable restrictions on further work. However, this argument fails to answer the metaphysical challenge on its own terms. We meet that challenge by going on to argue that the new metaphysical skepticism about functionalist cognitive science depends on reifying two distinct notions of causality (one primarily scientific, the other metaphysical), then equivocating between them. When the different notions of causality are properly distinguished, it is clear that functionalism is in no serious philosophical trouble, and that we need not choose between reducing minds or finding them causally impotent. The metaphysical challenge to functionalism relies, in particular, on a naïve and inaccurate conception of the practice of physics, and the relationship between physics and metaphysics. Key Words: explanation; functionalism; mental causation; metaphysics; reductionism

The revised edition of Paul Seabright’s The Company of Strangers is critically reviewed. Seabright aims to help non-economists participating in the cross-disciplinary study of the evolution of human sociality appreciate the potential value that can be added by economists. Though the book includes nicely constructed and vivid essays on a range of economic topics, in its main ambition it largely falls short. The most serious problem is endorsement of the so-called strong reciprocity hypothesis that has been promoted by several prominent economists, but does not pass muster with biologists

I distinguish between two styles of research that are both called . Neurocellular economics (NE) uses the modelling techniques and mathematics of economics to model relatively encapsulated functional parts of brains. This approach rests upon the fact that brains are, like markets, massively distributed information-processing networks over which executive systems can exert only limited and imperfect governance. Harrison's (2008) deepest criticisms of neuroeconomics do not apply to NE. However, the more famous style of neuroeconomics is behavioural economics in the scanner. This is often motivated by complaints about conventional economics frequently heard from behavioural economists. It attempts to use neuroimaging data to justify arguments for replacing standard aspects of microeconomic theory by facts and conjectures about human psychology. Harrison's grounds for unease about neuroeconomics apply to most BES, or at least to its explicit methodology. This methodology is naively reductionist and illegitimately assumes that economics should not do what all successful science does, namely, model abstract aspects of its target phenomena instead of would-be complete and fully ecologically situated facsimiles of them

People become addicted in different ways, and they respond differently to different interventions. There may nevertheless be a core neural pathology responsible for all distinctively addictive suboptimal behavioral habits. In particular, timing models of reward learning suggest a hypothesis according to which all addiction involves neuroadaptation that attenuates serotonergic inhibition of a mesolimbic dopamine system that has learned that cues for consumption of the addictive target are signals of a high-reward-rate environment

Hertwig and Ortmann imply that failure of many behavioral psychologists to observe several central methodological principles of experimental economics derives mainly from differences in disciplinary culture. I suggest that there are deeper philosophical causes, based (ironically) on a legacy of methodological individualism in psychology from which economists have substantially cured themselves through use of game theory. Psychologists often misidentify their objects of study by trying to wrench subjects out of their normal behavioral contexts in games.

It is generally recognized that descriptive and normative individualism are logically independent theses. This paper defends the stronger view that recognition of the falsehood of descriptive individualism is crucial to understanding the evolutionary and developmental basis of normative individualism. The argument given for this is not analytic; rather, it is based on empirical generalizations about the evolution of markets with specialized labor, about the nature of information processing in large markets, and about the socialization of human children.

Imagine asking a typical, well informed, contemporary philosopher whether or not she considered biology to be a science. Our informant, being a philosopher, would not necessarily respond with the straightforward “of course” that would be expected from anyone else. She might first reason through a complicated and heavily qualified definition of science, or she might distinguish certain parts of biology that she held to be more clearly scientific than others. If she were partial to a certain sort of critical stance, she might question the political basis for wishing to dignify certain parts of our inquisitive practice with the honorific ‘scientific’ in the first place. But there is at least one thing that she would almost certainly not do. She would not simultaneously embrace a version of the conventional philosophical view of science and deny that biology is a science. This is despite the fact that, as she will acknowledge, biology exploits a range of methodologies and explanatory strategies that have not yet admitted of systematic, consensual philosophical explication.