This paper aims to open a dialogue between philosophers working in decision theory and operations researchers and engineers whose research addresses the topic of decision making under deep uncertainty. Specifically, we assess the recommendation to follow a norm of robust satisficing when making decisions under deep uncertainty in the context of decision analyses that rely on the tools of Robust Decision Making developed by Robert Lempert and colleagues at RAND. We discuss decision-theoretic and voting-theoretic motivations for (...) class='Hi'>robust satisficing, then use these motivations to select among candidate formulations of the robust satisficing norm. We also discuss two challenges for robust satisficing: whether the norm might in fact derive its plausibility from an implicit appeal to probabilistic representations of uncertainty of the kind that deep uncertainty is supposed to preclude; and whether there is adequate justification for adopting a satisficing norm, as opposed to an optimizing norm that is sensitive to considerations of robustness. GPI Working Paper No. 15-2020. (shrink)

This paper aims to open a dialogue between philosophers working in decision theory and operations researchers and engineers working on decision-making under deep uncertainty. Specifically, we assess the recommendation to follow a norm of robust satisficing when making decisions under deep uncertainty in the context of decision analyses that rely on the tools of Robust Decision-Making developed by Robert Lempert and colleagues at RAND. We discuss two challenges for robust satisficing: whether the norm might derive (...) its plausibility from an implicit appeal to probabilistic representations of uncertainty of the kind that deep uncertainty is supposed to preclude; and whether there is adequate justification for adopting a satisficing norm, as opposed to an optimizing norm that is sensitive to considerations of robustness. We discuss decision-theoretic and voting-theoretic motivations for robust satisficing, and use these motivations to select among candidate formulations of the robust satisficing norm. (shrink)

Most decisions in life involve ambiguity, where probabilities can not be meaningfully specified, as much as they involve probabilistic uncertainty. In such conditions, the aspiration to utility maximization may be self-deceptive. We propose “robust satisficing” as an alternative to utility maximizing as the normative standard for rational decision making in such circumstances. Instead of seeking to maximize the expected value, or utility, of a decision outcome, robust satisficing aims to maximize the robustness to uncertainty of a (...) satisfactory outcome. That is, robust satisficing asks, “what is a ‘good enough’ outcome,” and then seeks the option that will produce such an outcome under the widest set of circumstances. We explore the conditions under which robust satisficing is a more appropriate norm for decision making than utility maximizing. (shrink)

How can anyone be rational in a world where knowledge is limited, time is pressing, and deep thought is often an unattainable luxury? Traditional models of unbounded rationality and optimization in cognitive science, economics, and animal behavior have tended to view decision-makers as possessing supernatural powers of reason, limitless knowledge, and endless time. But understanding decisions in the real world requires a more psychologically plausible notion of bounded rationality. In Simple heuristics that make us smart (Gigerenzer et al. 1999), we (...) explore fast and frugal heuristics – simple rules in the mind's adaptive toolbox for making decisions with realistic mental resources. These heuristics can enable both living organisms and artificial systems to make smart choices quickly and with a minimum of information by exploiting the way that information is structured in particular environments. In this précis, we show how simple building blocks that control information search, stop search, and make decisions can be put together to form classes of heuristics, including: ignorance-based and one-reason decision making for choice, elimination models for categorization, and satisficing heuristics for sequential search. These simple heuristics perform comparably to more complex algorithms, particularly when generalizing to new data – that is, simplicity leads to robustness. We present evidence regarding when people use simple heuristics and describe the challenges to be addressed by this research program. Key Words: adaptive toolbox; bounded rationality; decision making; elimination models; environment structure; heuristics; ignorance-based reasoning; limited information search; robustness; satisficing; simplicity. (shrink)

Appeals to human nature are ubiquitous, yet historically many have proven ill-founded. Why? How might frequent errors be remedied towards building a more robust and reliable scientific study of human nature? Our aim is neither to advance specific scientific or philosophical claims about human nature, nor to proscribe or eliminate such claims. Rather, we articulate through examples the types of errors that frequently arise in this field, towards improving the rigor of the scientific and social studies. We seek to (...) analyze such claims rhetorically, cognitively, and epistemically. Namely, how do we think about human nature? Claims about human nature, we show, are susceptible to widely exhibited deficits in cognitive tendencies such as framing, confirmation bias, satisficing, and teleological perspectives, as well as motivated reasoning. Such missteps foster methodological, empirical, and psychological mistakes and biases. Specifically, they promote the naturalizing error, whereby cultural ideology and values are projected onto an apparently objective description of nature. Concrete remedies are offered to aid scientists in conducting and reporting their research goals and findings more responsibly and effectively (relevant also to educators and other communicators who convey these findings publicly). Recommendations include acknowledging that human nature claims are often context-dependent, seeking multiple critical perspectives, and explicitly labeling uncertainties. (shrink)

Satisficing Consequentialism is often rejected as hopeless. Perhaps its greatest problem is that it risks condoning the gratuitous prevention of goodness above the baseline of what qualifies as "good enough". I propose a radical new willpower-based version of the view that avoids this problem, and that better fits with the motivation of avoiding an excessively demanding conception of morality. I further demonstrate how, by drawing on the resources of an independent theory of blameworthiness, we may obtain a principled specification (...) of what counts as "good enough". (shrink)

In replying to certain objections to the existence of God, Robert Adams, Bruce Langtry, and Peter van Inwagen assume that God can appropriately choose a suboptimal world, a world less good than some other world God could have chosen. A number of philosophers, such as Michael Slote and Klaas Kraay, claim that these theistic replies are therefore committed to the claim that satisficing can be appropriate. Kraay argues that this commitment is a significant liability. I argue, however, that the (...) relevant defenses of theism are committed to the appropriateness of, not satisficing, but motivated submaximization. When one submaximizes with motivation, one aims at the optimum but accepts the good enough because of a countervailing consideration. When one satisfices, one aims at the good enough and chooses the good enough because it realizes her aim at the good enough. While commitment to the appropriateness of satisficing may be a significant liability, commitment to the appropriateness of motivated submaximization is not. (shrink)

The move to satisficing has been thought to help consequentialists avoid the problem of demandingness. But this is a mistake. In this article I formulate several versions of satisficing consequentialism. I show that every version is unacceptable, because every version permits agents to bring about a submaximal outcome in order to prevent a better outcome from obtaining. Some satisficers try to avoid this problem by incorporating a notion of personal sacrifice into the view. I show that these attempts (...) are unsuccessful. I conclude that, if satisficing consequentialism is to remain a position worth considering, satisficers must show (i) that the move to satisficing is necessary to solve some problem, whether it be the demandingness problem or some other problem, and (ii) that there is a version of the view that does not permit the gratuitous prevention of goodness. (shrink)

There is now a significant body of literature on consequentialist ethics that propose satisficing instead of maximizing accounts. Even though epistemology recently witnessed a widespread discussion of teleological and consequentialist theories, a satisficing account is surprisingly not developed yet. The aim of this paper is to do just that. The rough idea is that epistemic rules are justified if and only if they satisfice the epistemic good, i.e., reach some threshold of epistemic value (which varies with practical context), (...) and believing is justified if and only if it follows said rules.I argue that this alternative to the implicitly established way of thinking in maximizing terms has significant advantages. First, maximizing epistemic value can be unreasonably demanding; second, a satisficing theory can make finding reasonable rules for belief formation and sustenance much more accessible; and third, a satisficing approach is a better alternative to both general subjectivist and maximizing objectivist attempts to spell out epistemic blame. (shrink)

This paper accomplishes three goals. First, it reveals that God’s ethics has a radical satisficing structure: God can choose a good enough suboptimal option even if there is a best option and no countervailing considerations. Second, it resolves the long-standing worry that there is no account of the good enough that is both principled and demanding enough to be good enough. Third, it vindicates the key ethical assumption in the problem of evil without relying on the contested assumption that (...) God’s ethics is our ethics. (shrink)

Satisficing theories, whether of rationality or morality, do not require agents to maximize the good. They demand only that agents bring about outcomes that are, in one or both of two senses, “good enough.” In the first sense, an outcome is good enough if it is above some absolute threshold of goodness; this yields a view that I will call absolute-level satisficing. In the second sense, an outcome is good enough if it is reasonably close to the best (...) outcome the agent could bring about; this leads to what I will call comparative satisficing. These two views coincide in their implications for a specific sort of case, in which the situation is now fairly far below the absolute-level threshold and an agent can at best bring it to a point somewhat above that threshold. Here both absolute-level and comparative satisficing say he need not bring about his best available outcome, though of course he may; he is required only to improve the situation to the absolute threshold. But in other cases the views diverge. If the situation is now far below the absolute threshold and, no matter what, will remain below it, absolute-level satisficing requires an agent to everything he can to improve the situation; here its implications coincide with those of maximizing. But comparative satisficing is less demanding, requiring him only to make some reasonable percentage of the largest improvement he can. By contrast, if the situation is already above the absolute threshold, absolute-level satisficing does not require an agent to do anything at all to improve it, whereas comparative satisficing, which is now more demanding, still requires him to make some reasonable percentage of his best possible improvement. (shrink)

Satisficing consequentialism is often used as a way of solving the demandingness objection, but many forms of satisficing consequentialism fail to do so. Further, those that do are vulnerable to the objections Ben Bradley outlined in Against Satisficing Consequentialism. In this paper, I present a new type of satisficing consequentialism which resolves the demandingness objection, is in-line with common intuitions about moral responsibility, and avoids Bradley's criticisms.

Satisficing without thereby maximizing is rational provided that non-consequentialism is rational and provided that the preferred characterization of non-consequentialism is not one in which right action is justified in virtue of maximizing agent-relative value. Rather, the non-consequentialism which can serve to defend satisficing should be one in which the best characterization of certain reasons to act does not involve maximization of value of any sort, whether agent-relative or agent neutral. I argue there are reasons to prefer this sort (...) of non-consequentialism to theories which defend non-consequentialism by construing value as agent-relative. An upshot is that satisficing cannot be well-defended within an overall consequentialist framework. (shrink)

Robustness arguments hold that hypotheses are more likely to be true when they are confirmed by diverse kinds of evidence. Robustness arguments require the confirming evidence to be independent. We identify two kinds of independence appealed to in robustness arguments: ontic independence —when the multiple lines of evidence depend on different materials, assumptions, or theories—and probabilistic independence. Many assume that OI is sufficient for a robustness argument to be warranted. However, we argue that, as typically construed, OI is not a (...) sufficient independence condition for warranting robustness arguments. We show that OI evidence can collectively confirm a hypothesis to a lower degree than individual lines of evidence, contrary to the standard assumption undergirding usual robustness arguments. We employ Bayesian networks to represent the ideal empirical scenario for a robustness argument and a variety of ways in which empirical scenarios can fall short of this ideal. (shrink)

Satisficing consequentialism is an unpopular theory. Because it permits gratuitous sub-optimal behaviour, it strikes many as wildly implausible. It has been widely rejected as a tenable moral theory for more than twenty years. In this article, I rehearse the arguments behind this unpopularity, before examining an attempt to redeem satisficing. Richard Yetter Chappell has recently defended a form of ‘effort satisficing consequentialism’. By incorporating an ‘effort ceiling’ – a limit on the amount of willpower a situation requires (...) – and requiring that agents produce at least as much good as they could given how much effort they are exerting, Chappell avoids the obvious objections. However, I demonstrate that the revised theory is susceptible to a different objection, and that the resulting view requires that any supererogatory behaviour must be efficient, which fails to match typical moral verdicts. (shrink)

An agent submaximizes with motivation when she aims at the best but chooses a less good option because of a countervailing consideration. An agent satisfices when she rejects the better for the good enough, and does so because the mere good enough gets her what she really wants. Motivated submaximization and satisficing, so construed, are different ways of choosing a suboptimal option, but this difference is easily missed. Putative proponents of satisficing tend to argue only that motivated submaximization (...) can be appropriate while critics of satisficing tend to criticize satisficing, as I construe it. The existing literature, then, leaves satisficing in a very bad state: there are no good arguments for it and there are three unanswered objections to it. This paper clarifies the distinction between motivated submaximization and satisficing and refutes the three most prominent objections to the claim that satisficing can be appropriate. (shrink)

How do we think about what we plan to do? One dominant answer is that we select the best possible option available. However, a growing number of philosophers would offer a different answer: since we are not equipped to maximize we often choose the next best alternative, one that is no more than satisfactory. This strategy choice is called satisficing. This collection of essays explores both these accounts of practical reason, examining the consequences for adopting one or the other (...) for moral theory in general and the theory of practical rationality in particular. It aims to address a constituency larger than contemporary moral philosophers and bring these questions to the attention of those interested in the applications of decision theory in economics, psychology and political science. (shrink)

It is common, though perhaps not correct, to think that practical rationality is strictly instrumental.1 The functions of instrumental reason include finding suitable means to our determinate ends, helping to determine our indeterminate ends, and implementing our principles in appropriate actions. One reason that might be given for adopting instrumentalism with respect to rationality might be that our best scientific evidence offers little support for the idea that our brains have powers to detect good and bad as such in persons, (...) actions, or lives. But whatever one’s reasons for taking up instrumentalism, it remains to specify the relationship means are to have with ends. A natural demand is that instrumentally rational actions implement the best means to one’s given ends. Optimizing conceptions of rationality endorse this demand. A competing conception of rationality—the satisficing conception—weakens this requirement and permits some rational actions to implement (merely) satisfactory means to the agent’s given ends. The present article argues that instrumentalist theories of rationality as commonly understood cannot consistently accommodate this satisficing conception of rationality. (shrink)

Satisficing is a central concept in both individual and social multiagent decision making. In this paper we first extend the notion of satisficing by formally modeling the tradeoff between costs and decision failure. Second, we extend this notion of “neo”-satisficing into the context of social or multiagent decision making and interaction, and model the social conditioning of preferences in a satisficing framework.

Decision theory, understood as providing a normative account of rationality in action, is often thought to be an adequate formalization of instrumental reasoning. As a model, there is much to be said for it. However, if decision theory is to adequately account for correct instrumental reasoning, then the axiomatic conditions by which it links preference to action must be normative for choice. That is, a choice must be rationally defective unless it proceeds from a preference set that satisfies the axiomatic (...) conditions. -/- The crucial feature of standard decision theory for present purposes is that it conceives rational action as maximizing, as doing the best that one can in terms of satisfying one’s preferences. For maximizing to be possible, the preference set in question must completely order a person’s options. But I have argued elsewhere that that condition is often unmet by actual preference sets, so maximizing is not always available. Given that it is not, satisficing deserves attention, both as the most important alternative to maximizing and for the lessons it can yield with respect to goal-directed action. With those lessons in hand, standard maximizing decision theory is reconsidered, with the aim of showing that it does not adequately represent the normative distinction between means and ends. (shrink)

Erik J. Wielenberg draws on recent work in analytic philosophy and empirical moral psychology to defend non-theistic robust normative realism, according to which there are objective ethical features of the universe that do not depend on God for their existence. He goes on to develop an empirically-grounded account of human moral knowledge.

What is the nature of moral behavior? According to the study of bounded rationality, it results not from character traits or rational deliberation alone, but from the interplay between mind and environment. In this view, moral behavior is based on pragmatic social heuristics rather than moral rules or maximization principles. These social heuristics are not good or bad per se, but solely in relation to the environments in which they are used. This has methodological implications for the study of morality: (...) Behavior needs to be studied in social groups as well as in isolation, in natural environments as well as in labs. It also has implications for moral policy: Only by accepting the fact that behavior is a function of both mind and environmental structures can realistic prescriptive means of achieving moral goals be developed. (shrink)

Robustness is a common platitude: hypotheses are better supported with evidence generated by multiple techniques that rely on different background assumptions. Robustness has been put to numerous epistemic tasks, including the demarcation of artifacts from real entities, countering the “experimenter’s regress,” and resolving evidential discordance. Despite the frequency of appeals to robustness, the notion itself has received scant critique. Arguments based on robustness can give incorrect conclusions. More worrying is that although robustness may be valuable in ideal evidential circumstances (i.e., (...) when evidence is concordant), often when a variety of evidence is available from multiple techniques, the evidence is discordant. †To contact the author, please write to: Jacob Stegenga, Department of Philosophy, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093; e‐mail: [email protected]. (shrink)

There have been different interpretations of satisficing rationality. A common view is that it is sometimes rationally permitted to choose an option one judges is good enough even when one does not know that it is the best option. But there is available a more radical view of satisficing. On this view, it is rationally permitted to choose an option one judges is good enough even when a better option is known to be available. In this paper I (...) distinguish between two possible interpretations of ‘genuine’ satisficing, a de re and a de dicto interpretation. I then argue that while de re genuine satisficing is always irrational, de dicto genuine satisficing might be rationally permissible. In fact, de dicto genuine satisficing does not appear to be covered by existing accounts of satisficing behaviour. (shrink)

As scientists begin to study increasingly complex questions, many have turned to computer simulation to assist in their inquiry. This methodology has been challenged by both analytic modelers and experimentalists. A primary objection of analytic modelers is that simulations are simply too complicated to perform model verification. From the experimentalist perspective it is that there is no means to demonstrate the reality of simulation. The aim of this paper is to consider objections from both of these perspectives, and to argue (...) that a proper understanding and application of robustness analysis is able to resolve them. ‡The author would like to thank Cristina Bicchieri, Michelle Foa, Paul Humphreys and Michael Weisberg for their helpful comments and suggestions. †To contact the author, please write to: Department of Philosophy, University of Pennsylvania, 433 Logan Hall, 249 S. 36th Street, Philadelphia, PA, 19104-6304; e-mail: [email protected]. (shrink)

What is the nature of knowledge? A popular answer to that long-standing question comes from robust virtue epistemology, whose key idea is that knowing is just a matter of succeeding cognitively—i.e., coming to believe a proposition truly—due to an exercise of cognitive ability. Versions of robust virtue epistemology further developing and systematizing this idea offer different accounts of the relation that must hold between an agent’s cognitive success and the exercise of her cognitive abilities as well as of (...) the very nature of those abilities. This paper aims to give a new robust virtue epistemological account of knowledge based on a different understanding of the nature and structure of the kind of abilities that give rise to knowledge. (shrink)

Robustness is often presented as a guideline for distinguishing the true or real from mere appearances or artifacts. Most of recent discussions of robustness have focused on the kind of derivational robustness analysis introduced by Levins, while the related but distinct idea of robustness as multiple accessibility, defended by Wimsatt, has received less attention. In this paper, I argue that the latter kind of robustness, when properly understood, can provide justification for ontological commitments. The idea is that we are justified (...) in believing that things studied by science are real insofar as we have robust evidence for them. I develop and analyze this idea in detail, and based on concrete examples show that it plays an important role in science. Finally, I demonstrate how robustness can be used to clarify the debate on scientific realism and to formulate new arguments. (shrink)

ABSTRACT Against the maximizing conception of practical rationality, Michael Slote has argued that rationality does not always require choosing what is most rational. Instead, it can sometimes be rational to do something that is less-than-fully rational. In this paper, I will argue that maximizers have a ready response to Slote’s position. Roy Sorensen has argued that ‘rational’ is an absolute term, suggesting that it is not possible to be rational without being completely rational. Sorensen’s view is confirmed by the fact (...) that, by the lights of contemporary linguistics, ‘rational’ is an absolute gradable adjective. Because ‘rational’ is an absolute gradable adjective, being rational requires being at the top of the scale of rationality, making anyone who is not fully rational positively irrational. Contra Slote, the only way to be rational enough is to be maximally rational. (shrink)

When scientists seek further confirmation of their results, they often attempt to duplicate the results using diverse means. To the extent that they are successful in doing so, their results are said to be robust. This paper investigates the logic of such "robustness analysis" [RA]. The most important and challenging question an account of RA can answer is what sense of evidential diversity is involved in RAs. I argue that prevailing formal explications of such diversity are unsatisfactory. I propose (...) a unified, explanatory account of diversity in RAs. The resulting account is, I argue, truer to actual cases of RA in science; moreover, this account affords us a helpful, new foothold on the logic undergirding RAs. (shrink)

In the debate between simple inference heuristics and complex decision mechanisms, we take a position squarely in the middle. A decision making process that extends to both naturalistic and novel settings should extend beyond the confines of this debate; both simple heuristics and complex mechanisms are cognitive skills adapted to and appropriate for some circumstances but not for others. Rather than ask `Which skill is better?'' it is often more important to ask `When is a skill justified?'' The selection and (...) application of an appropriate cognitive skill for a particular problem has both costs and benefits, and therefore requires the resolution of a tradeoff. In revisiting satisficing, we observe that the essence of satisficing is tradeoff. Unlike heuristics, which derive their justification from empirical phenomena, and unlike optimal solutions, which derive their justification by an evaluation of alternatives, satisficing decision-making derives its justification by an evaluation of consequences. We formulate and present a satisficing decision paradigm that has its motivation in Herbert Simon''s work on bounded rationality. We characterize satisficing using a cost–benefit tradeoff, and generate a decision rule applicable to both designing intelligent machines as well as describing human behavior. (shrink)

Philip Pettit offers a new insight into moral psychology. He shows that attachments such as love, and certain virtues such as honesty, require their characteristic behaviours not only as things actually are, but also in cases where things are different from how they actually are. He explores the implications of this idea for key moral issues.

Aus Platzgründen kann ich die originellen und scharfsinnigen Kommentare von Annette Dufner, Jörg Löschke, Dorothee Bleisch und Konstantin Weber nicht vollständig würdigen. Ich beschränke mich auf einige zentrale Aussagen und Überlegungen.

It is widely maintained that self-interested rationality is a matter of maximizing one's own good or well-being. Rationality more generally is also frequently characterized in maximizing terms: the rational thing to do in any decision context is whatever is best in terms of one's interests or will lead to the greatest preference-satisfaction, My dissertation consists of three independent papers that challenge this orthodoxy by lending support to "satisficing," the idea that it is rational to prefer what is good enough. (...) In the first I argue that the preferences frequently displayed in the Allais Paradox can not be reconciled with expected utility maximizing and therefore must be construed in satisficing terms. To the extent that common sense is an important touchstone for theory choice, this lends support to satisficing. In the second, I argue more directly for satisficing by claiming that satisficing is the best way to deal with the different temporal perspectives available to human beings. In the third, I argue that supererogation, the idea that options which are not optimal can nonetheless be morally or rationally acceptable, depends on "optional reasons," I claim, further, that the criticisms of the very idea of optional reasons are not compelling. I also include an appendix which addresses Derek Parfit's challenge to prudential rationality. (shrink)

I propose a distinct type of robustness, which I suggest can support a confirmatory role in scientific reasoning, contrary to the usual philosophical claims. In model robustness, repeated production of the empirically successful model prediction or retrodiction against a background of independentlysupported and varying model constructions, within a group of models containing a shared causal factor, may suggest how confident we can be in the causal factor and predictions/retrodictions, especially once supported by a variety of evidence framework. I present climate (...) models of greenhouse gas global warming of the 20th Century as an example, and emphasize climate scientists’ discussions of robust models and causal aspects. The account is intended as applicable to a broad array of sciences that use complex modeling techniques. (shrink)

The aim of this paper is to develop ideas about robustness analyses. I introduce a form of robustness analysis that I call sufficient parameter robustness, which has been neglected in the literature. I claim that sufficient parameter robustness is different from derivational robustness, the focus of previous research. My purpose is not only to suggest a new taxonomy of robustness, but also to argue that previous authors have concentrated on a narrow sense of robustness analysis, which they have inadequately distinguished (...) from other investigations of models such as sensitivity analysis. (shrink)

The concordance of results that are “robust” across multiple scientific modalities is widely considered to play a critical role in the epistemology of science. But what should we make of those cases where such multimodal evidence is discordant? Jacob Stegenga has recently argued that robustness is “worse than useless” in these cases, suggesting that “different kinds of evidence cannot be combined in a coherent way.” In this article I respond to this critique and illustrate the critical methodological role that (...) robustness plays as an aim of scientific inquiry. (shrink)

This paper supports the literature which argues that derivational robustness can have epistemic import in highly idealized economic models. The defense is based on a particular example from mathematical economic theory, the dynamic Walrasian general equilibrium model. It is argued that derivational robustness first increased and later decreased the credibility of the Walrasian model. The example demonstrates that derivational robustness correctly describes the practices of a particular group of influential economic theorists and provides support for the arguments of philosophers who (...) have offered a general epistemic justification of such practices. (shrink)

This paper is aimed at identifying how a model’s explanatory power is constructed and identified, particularly in the practice of template-based modeling (Humphreys, Philos Sci 69:1–11, 2002; Extending ourselves: computational science, empiricism, and scientific method, 2004), and what kinds of explanations models constructed in this way can provide. In particular, this paper offers an account of non-causal structural explanation that forms an alternative to causal–mechanical accounts of model explanation that are currently popular in philosophy of biology and cognitive science. Clearly, (...) defences of non-causal explanation are far from new (e.g. Batterman, Br J Philos Sci 53:21–38, 2002a; The devil in the details: asymptotic reasoning in explanation, reduction, and emergence, 2002b; Pincock, Noûs 41:253–275, 2007; Mathematics and scientific representation 2012; Rice, Noûs. doi:10.1111/nous.12042, 2013; Biol Philos 27:685–703, 2012), so the targets here are focused on a particular type of robust phenomenon and how strong invariance to interventions can block a range of causal explanations. By focusing on a common form of model construction, the paper also ties functional or computational style explanations found in cognitive science and biology more firmly with explanatory practices across model-based science in general. (shrink)

The lack of an account of rationality in The Structure of Scientific Revolutions was a lacuna which Thomas Kuhn acutely felt. In this paper, I argue that Herbert Simon’s notion of “satisficing” provides a formally well-developed and empirically well-established theory of rationality that fits well with Kuhn’s general characterization of science. I start by considering two rival interpretations of the problem of Kuhnian rationality and introduce Simon’s notion of satisficing. In Section 3, I show how satisficing can (...) be used to interpret paradigm, change, rational theory-choice, relativism, and progress. On this account, Kuhnian scientists are not irrational. Rather they employ the same computational mechanism which allows humans to play chess. (shrink)