Topics in Cognitive Science, Volume 14, Issue 3, Page 528-549, July 2022.

Intelligence can be understood as a form of rationality, in the sense that an intelligent system does its best when its knowledge and resources are insufficient with respect to the problems to be solved. The traditional models of rationality typically assume some form of sufficiency of knowledge and resources, so cannot solve many theoretical and practical problems in Artificial Intelligence (AI). New models based on the Assumption of Insufficient Knowledge and Resources (AIKR) cannot be obtained by minor revisions (...) or extensions of the traditional models, and have to be established fully according to the restrictions and freedoms provided by AIKR. The practice of NARS, an AI project, shows that such new models are feasible and promising in providing a new theoretical foundation for the study of rationality, intelligence, consciousness, and mind. (shrink)

How much would you pay to play a lottery with an “infinite expected payoff?” In the case of the century old, St. Petersburg Paradox, the answer is that the vast majority of people would only pay a small amount. The authors seek to understand this paradox by providing an explanation consistent with a broad, process‐level model of human decision‐making under risk.

Marr's levels of analysis—computational, algorithmic, and implementation—have served cognitive science well over the last 30 years. But the recent increase in the popularity of the computational level raises a new challenge: How do we begin to relate models at different levels of analysis? We propose that it is possible to define levels of analysis that lie between the computational and the algorithmic, providing a way to build a bridge between computational- and algorithmic-level models. The key idea is to (...) push the notion of rationality, often used in defining computational-level models, deeper toward the algorithmic level. We offer a simple recipe for reverse-engineering the mind's cognitive strategies by deriving optimal algorithms for a series of increasingly more realistic abstract computational architectures, which we call “resource-rational analysis.”. (shrink)

With a global commitment to scaling up AIDS care and treatment in resource-poor settings for some of the most HIV-affected countries in Africa, availability of antiretroviral treatment is no longer the principal obstacle to expanding access to treatment. A shortage of trained healthcare personnel to initiate treatment and manage patients represents a more challenging barrier to offering life-saving treatment to all patients in need. Physician-centered treatment policies accentuate this challenge. Despite evidence that task shifting for nurse-centered AIDS patient care is (...) effective and can alleviate severe physician shortages that currently obstruct treatment scale-up, political commitment and policy action to support task shifting models of care has been slow to absent. In this paper we review the evidence in support of task shifting for AIDS treatment in Africa and argue that continued policy inaction amounts to unwarranted healthcare rationing and as such is ethically untenable. (shrink)

While game theory has been transformative for decision making, the assumptions made can be overly restrictive in certain instances. In this work, we investigate some of the underlying assumptions of rationality, such as mutual consistency and best response, and consider ways to relax these assumptions using concepts from level-k reasoning and quantal response equilibrium (QRE) respectively. Specifically, we propose an information-theoretic two-parameter model called the quantal hierarchy model, which can relax both mutual consistency and best response while still approximating level-k, (...) QRE, or typical Nash equilibrium behavior in the limiting cases. The model is based on a recursive form of the variational free energy principle, representing higher-order reasoning as (pseudo) sequential decision-making in extensive-form game tree. This representation enables us to treat simultaneous games in a similar manner to sequential games, where reasoning resources deplete throughout the game-tree. Bounds in player processing abilities are captured as information costs, where future branches of reasoning are discounted, implying a hierarchy of players where lower-level players have fewer processing resources. We demonstrate the effectiveness of the quantal hierarchy model in several canonical economic games, both simultaneous and sequential, using out-of-sample modelling. (shrink)

In this paper we design a new logical system to explicitly model the different deductive reasoning steps of a boundedly rational agent. We present an adequate system in line with experimental findings about an agent’s reasoning limitations and the cognitive effort that is involved. Inspired by Dynamic Epistemic Logic, we work with dynamic operators denoting explicit applications of inference rules in our logical language. Our models are supplemented by (a) impossible worlds (not closed under logical consequence), suitably structured according (...) to the effect of inference rules, and (b) quantitative components capturing the agent’s cognitive capacity and the cognitive costs of rules with respect to certain resources (e.g. memory, time). These ingredients allow us to avoid problematic logical closure principles, while at the same time deductive reasoning is reflected in our dynamic truth clauses. We further show that our models can be reduced to awareness-like plausibility structures that validate the same formulas and we give a sound and complete axiomatization with respect to them. This approach to the agent’s internal deductive reasoning is finally combined with actions of external information. (shrink)

Abstract.Since the gene splicing debates of the 1980s, the public has been exposed to an ongoing sequence of genetic and reproductive technologies. Many issue areas have outcomes that lose track of people's inner values or engender opposing religious viewpoints defying final resolution. This essay relocates the discussion of what is an acceptable application from the individual to the societal level, examining technologies that stand to address large numbers of people and thus call for policy resolution, rather than individual fiat, in (...) their application. A major source of guidance is the “Genetic Frontiers” series of professional dialogues and conferences held by the National Conference for Community and Justice from 2002 to 2004. Genetic testing, human gene therapy, genetic engineering of plants and animals, and stem cell technology are examined. While differences in perspective on the beginning of life persist, a stepwise approach to the examination of genetic testing reveals areas of general agreement. Stewardship of life, human co‐creativity with the divine, and social justice help define the bounds of application of genetic engineering and therapy; compassionate care plays a major role in establishing stem cell policy. Active, sustained dialogue is a useful resource for enabling sharing of religious values and crystallization of policies. (shrink)

During the COVID‐19 pandemic, national triage guidelines were developed to address the anticipated shortage of life‐saving resources, should ICU capacities be overloaded. Rationing and triage imply that in addition to individual patient interests, interests of population health have to be integrated. The transfer of theoretical and empirical knowledge into feasible and useful practice models and their implementation in clinical settings need to be improved. This paper analyzes how triage protocols could translate abstract theories of distributive justice into concrete material (...) and procedural criteria for rationing intensive care resources during a pandemic. We reconstruct the development and implementation of a rationing protocol at a German university hospital: describing the ethical challenge of triage, clarifying the aspirational norms, and summarizing specific norms of fair triage and allocation for developing an institutional policy and practice model and implementing it. We reflect on how critical topics are seen by clinicians and what helped manage the perceived burdens of the triage dilemma. We analyze what can be learned from this debate regarding the difficult issues around triage protocols and their potential implementation into clinical settings. Analyzing the ought‐to‐is gap of triage, integrating abstract ethical principles into practical concepts, and evaluating those should clarify the benefits and risks of different allocation options. We seek to inform debates on triage concepts and policies to ensure the best possible treatment and fair allocation of resources as well as to help protect patients and professionals in worst‐case scenarios. (shrink)

This chapter contains sections titled: Introduction Rational Agents and the Conceptual Background Beyond Homo economicus Informational Resources A Poisoned Chalice? What Is to Be Done? References.

Public discussions of political and social issues are often characterized by deep and persistent polarization. In social psychology, it’s standard to treat belief polarization as the product of epistemic irrationality. In contrast, we argue that the persistent disagreement that grounds political and social polarization can be produced by epistemically rational agents, when those agents have limited cognitive resources. Using an agent-based model of group deliberation, we show that groups of deliberating agents using coherence-based strategies for managing their limited resources tend (...) to polarize into different subgroups. We argue that using that strategy is epistemically rational for limited agents. So even though group polarization looks like it must be the product of human irrationality, polarization can be the result of fully rational deliberation with natural human limitations. (shrink)

Withholding or withdrawing life-saving ventilators can become necessary when resources are insufficient. In the USA, such rationing has unique social justice dimensions. Structural elements of dominant allocation frameworks simultaneously advantage white communities, and disadvantage Black communities—who already experience a disproportionate burden of COVID-19-related job losses, hospitalisations and mortality. Using the example of New Jersey’s Crisis Standard of Care policy, we describe how dominant rationing guidance compounds for many Black patients prior unfair structural disadvantage, chiefly due to the way creatinine and (...) life expectancy are typically considered.We outline six possible policy options towards a more just approach: improving diversity in decision processes, adjusting creatinine scores, replacing creatinine, dropping creatinine, finding alternative measures, adding equity weights and rejecting the dominant model altogether. We also contrast these options with making no changes, which is not a neutral default, but in separate need of justification, despite a prominent claim that it is simply based on ‘objective medical knowledge’. In the regrettable absence of fair federal guidance, hospital and state-level policymakers should reflect on which of these, or further options, seem feasible and justifiable.Irrespective of which approach is taken, all guidance should be supplemented with a monitoring and reporting requirement on possible disparate impacts. The hope that we will be able to continue to avoid rationing ventilators must not stand in the way of revising guidance in a way that better promotes health equity and racial justice, both to be prepared, and given the significant expressive value of ventilator guidance. (shrink)

'The Rational and the Moral Order' is a significant book providing a comprehensive theory of morality. The opening chapter is simply marvellous. Baier provides a cogent response to Hume's conundrums on practical reasoning: logical entailment, he argues, is not the correct model of the relation between reasons and that for which they are reasons. Indeed, the giving of reasons is, in part, a social enterprise, and there is no necessary connection between rationality and self-interest. Just as the giving of reasons (...) is a social enterprise taught to succeeding generations, so too is the moral enterprise, for a moral order is a social order of some sort. It is a social order that encourages a critical stance toward, and permits the correction of, its mores. Moral precepts can be sound or unsound, and yet can be relative to a moral order. In the concluding chapter Baier shows how his theoretical framework can be used to confront some of the moral problems people face, problems which have also exercised contemporary philosophers. Though there are many philosophers who believe that killing is worse than letting anyone die, there are few that defend the view other than by raw intuition. Baier deploys the resources of his theory of morality in support of this widely shared but poorly defended viewpoints. "Along the way, Baier deals with virtually all the problems that have taxed moral philosophers for a very long time -- rationality, responsibility, morality's relation to law, the good life, prisoner's dilemma, moral motivation, and others. The Rational and the Moral Order is careful, insightful, and convincing." --Theodore M. Benditt, University of Alabama. (shrink)

This article evaluates alternative models for explaining human behavior. In particular, it compares the resourceful, evaluative, maximizing model (REMM) with the economic (or money maximizing) model of human behavior. The theoretical framework is developed to enhance our understanding of "individual value creation" and to seek an economically rational explanation to: Why Warren Buffett is giving his money away to charity? The article develops a framework of biological, material, and immaterial sources of value. The article additionally extends the existing REMM (...) and finds several economically rational reasons for him to give away his money including the present value of help and goodwill, gained control, and lowered transaction costs. (shrink)

Standard accounts of shame characterize shame as an emotion of global negative self-assessment, in which an individual necessarily accepts or assents to a global negative self-evaluation. According to non-standard accounts of shame, experiences of shame need not involve a global negative self-assessment. I argue here in favor of non-standard accounts of shame over standard accounts. First, I begin with a detailed discussion of standard accounts of shame, focusing primarily on Gabriele Taylor’s (1985) standard account. Second, I illustrate how Adrian Piper’s (...) ([1992] 1996) experience of groundless shame can be portrayed as 1) both a rational and an irrational experience of shame, in accordance with Taylor’s account as a paradigm model of standard accounts of shame, and 2) as a rational experience of shame when taken in its own right as a legitimate, rational account of shame. Third, without denying that some experiences of shame either are or can be irrational experiences of shame, I elucidate how standard accounts of shame can act as mechanisms of epistemic injustice, and in doing so can transmute the righteous indignation of the marginalized by recasting them as shameful experiences (i.e., by recasting them as experiences of the righteous shame of the marginalized). (shrink)

Decisions about allocation of limited healthcare resources are frequently controversial. These decisions are usually based on careful analysis of medical, scientific and health economic evidence. Yet, decisions are also necessarily based on value judgements. There may be differing views among health professionals about how to allocate resources or how to evaluate existing evidence. In specific cases, professionals may have strong personal views (contrary to professional or societal norms) that treatment should or should not be provided. Could these disagreements rise to (...) the level of a conscientious objection? If so, should conscientious objections to existing allocation decisions be accommodated? In the first part of this paper, I assess whether resource allocation could be a matter of conscience. I analyse conceptual and normative models of conscientious objection and argue that rationing could be a matter for conscience. I distinguish between negative and positive forms: conscientious non-treatment and conscientious treatment. In the second part of the paper, I identify distinctive challenges for conscientious objections to resource allocation. Such objections are almost always inappropriate. (shrink)

I want to extend here a line of reasoning that I pursued in Rationality and Dynamic Choice . In that book I argued that the standard Bayesian model of expected-utility reasoning needs to be revised to accommodate a capacity, on the part of rational decision-makers, to effectively coordinate with their own future selves — to be guided by plans that they have deliberately adopted. I also suggested that an analogous line of reasoning might be employed to show that rational agents (...) could engage in rule-governed coordination of their choices with one another to a greater extent than the standard theory would seem to admit. It is this suggestion that I now want to explore more fully in the present paper. It is not that the standard theory denies the possibility of such coordination. On that account, however, coordination can only be achieved by the adoption of an effective enforcement system. Since, however, any enforcement scheme requires the expenditure of scarce resources, the standard theory seems committed to the view that rational agents can achieve only a second best outcome. It is worth considering whether thoroughly rational persons who know each other to be such might not do better than this. It is also the case that the process whereby individuals come to agreement on the terms of their coordination schemes is conceived as driven essentially by non-cooperative considerations, specifically the relative bargaining power or threat advantage of the participants. Bargaining outcomes based on this principle, however, tend to generate mutually disadvantageous conflict, and thus there are greater costs yet to be borne by “rational” interacting agents. I shall have to leave the exploration of this second problem to another occasion, however. (shrink)

Contractarians aim to derive moral principles from the dictates of instrumental rationality alone. But it is well-known that contractarian moral theories struggle to identify normative principles that are both uniquely rational and morally compelling. Michael Moehler's recent book, *Minimal Morality* seeks to avoid these difficulties by developing a novel "two-level" social contract theory, which restricts the scope of contractarian morality to cases of deep and persistent moral disagreement. Yet Moehler remains ambitious, arguing that a restricted version of Kant's categorical imperative (...) is a uniquely rational principle of conflict resolution. We develop a formal model of Moehler's informal game-theoretic argument, which reconstructs a valid argument for Moehler's conclusion. This model, in turn, enables us to expose how a successful argument for Moehler's contractarian principle rests on assumptions that can only be justified by subtle yet significant departures from the standard conception of rationality. We thus extend our understanding of familiar contractarian difficulties by showing how they arise even if we restrict the scope of contractarian morality to a domain where its application seems both promising and necessary. We show that the problem lies not in contractarians' immodest ambitions but in the modest resources rationality can offer to satisfy them. (shrink)

There have been two major lines of research aimed at capturing resource-bounded players in game theory. The first, initiated by Rubinstein (), charges an agent for doing costly computation; the second, initiated by Neyman (), does not charge for computation, but limits the computation that agents can do, typically by modeling agents as finite automata. We review recent work on applying both approaches in the context of decision theory. For the first approach, we take the objects of choice in a (...) decision problem to be Turing machines, and charge players for the “complexity” of the Turing machine chosen (e.g., its running time). This approach can be used to explain well-known phenomena like first-impression-matters biases (i.e., people tend to put more weight on evidence they hear early on) and belief polarization (two people with different prior beliefs, hearing the same evidence, can end up with diametrically opposed conclusions) as the outcomes of quite rational decisions. For the second approach, we model people as finite automata, and provide a simple algorithm that, on a problem that captures a number of settings of interest, provably performs optimally as the number of states in the automaton increases. (shrink)

Information is a force multiplier. Knowledge of the enemy's capability and intentions may be of far more value to a military force than additional troops or firepower. Situation assessment is the ongoing process of inferring relevant information about the forces of concern in a military situation. Relevant information can include force types, firepower, location, and past, present and future course of action. Situation assessment involves the incorporation of uncertain evidence from diverse sources. These include photographs, radar scans, and other forms (...) of image intelligence, or IMINT; electronics intelligence, or ELINT, derived from characteristics (e.g., wavelength) of emissions generated by enemy equipment; communications intelligence, or COMINT, derived from the characteristics of messages sent by the enemy; and reports from human informants (HUMINT). These sources must be combined to form a model of the situation. The sheer volume of data, the ubiquity of uncertainty, the number and complexity of hypotheses to consider, the high-stakes environment, the compressed time frame, and deception and damage from hostile forces, combine to present a staggeringly complex problem. Even if one could formulate a decision problem in reasonable time, explicit determination of an optimal decision policy exceeds any reasonable computational resources. While it is tempting to drop any attempt at rational analysis and rely purely on simple heuristics, we argue that this can lead to catastrophic outcomes. We present an architecture for a ``complex decision machine'' that performs rational deliberation to make decisions in real time. We argue that resource limits require such an architecture to be grounded in simple heuristic reactive processes. We thus argue that both simple heuristics and complex decision machines are required for effective decision making in real time for complex problems. We describe an implementation of our architecture applied to the problem of military situation assessment. (shrink)

Introductory essay to the collection "I that is We, We that is I" (ed. by Italo Testa and Luigi Ruggiu, Brill Books, 2016). In this book an international group of philosophers explore the many facets of Hegel’s formula which expresses the recognitive and social structures of human life. The book offers a guiding thread for the reconstruction of crucial motifs of contemporary thought such as the socio-ontological paradigm; the action-theoretical model in moral and social philosophy; the question of naturalism; and (...) the reassessment of the relevance of work and power for our understanding of human life. This collection addresses the shortcomings of Kantian and constructivist normative approaches to social practices and practical rationality it involves. It sheds new light on Hegel’s take on metaphysics and puts into question some presuppositions of the post-metaphysical interpretative paradigm. (shrink)

We show how to embed a framework for multilateral negotiation, in which a group of agents implement a sequence of deals concerning the exchange of a number of resources, into linear logic. In this model, multisets of goods, allocations of resources, preferences of agents, and deals are all modelled as formulas of linear logic. Whether or not a proposed deal is rational, given the preferences of the agents concerned, reduces to a question of provability, as does the question of whether (...) there exists a sequence of deals leading to an allocation with certain desirable properties, such as maximising social welfare. Thus, linear logic provides a formal basis for modelling convergence properties in distributed resource allocation. (shrink)

This work is a sustained re-examination of philosophy's conception of "rationality" in general and "philosophic rationality" in particular. The history of Western philosophy is strongly marked by an objectivist conception of reason. Plato, Aristotle and Descartes believed that absolute and eternal Truth is accessible, and through their influence on Hume, Kant and Hegel among others, the history of modern European philosophy became one long quest for absolute certainty, total knowledge and "scientific" philosophy. ;Critical Modernism wants to construct a "chastened" idea (...) of reason, while maintaining that the emancipatory ideals of the Enlightenment can be invigorated by addressing its weaknesses and defending its strengths. The theory of "communicative rationality," which is meant to fulfill this goal, claims to be comprehensive, fallible, criticizable, revisable and yet lays claim to objectivity. In contrast to critical modernism, however, is a Wittgenstein-inspired relativist trend which proposes a "language-game" theory of rationality . Under this conception, what is "rational" or "irrational" is held to be intersubjectively constituted within irreducible and variable contexts of "languages." ;This work does not take a position for or against objectivism or relativism, Habermas or Winch, but seeks to transcend both oppositions through an indirect critique that puts into question the very framing of the problem. The work establishes not only an alternative conception of rationality but also an idea of philosophical pluralism that allows for a revision of the framing of the question. This is accomplished through entering into the traditions of African philosophy and deriving from them a model of a metaphysical and epistemological framework that grounds itself outside of the objectivism-relativism problematic in its current strictural frame. This model, derived from the Ifa tradition, maintains dialogue with the Western traditions, but exposes the objectivism-relativism debate as falsely framed and provides from its own resources epistemological categories that place the problematic in a fresh context, within a larger, wider, pluralist, rational and philosophic worldview. (shrink)

Pathological gambling (PG) is a kind of ‘ideal puzzle’ for the economic model of the consumer. The pathological gambler takes pains to engage in activity that transparently has negative expected returns if utility varies positively with money. She also, typically, spends further resources on commitment devices designed to interfere with her gambling. These properties together describe an agent that is a kind of perfect foil for the rationally maximizing consumer. Recently, aspects of the neuropathology underlying the strange economic agency of (...) the pathological gambler are becoming understood. Thus PG is an ideal test bed phenomenon for working out relationships between economic modeling based on constrained optimization of utility and the new neuroscience of behavior. (shrink)

Counterfactuals are inherently ambiguous in the sense that the same counterfactual may be true under one mode of counterfactualization but false under the other. Many have regarded the ambiguity of counterfactuals as consisting in the distinction between forward-tracking and backtracking counterfactuals. This is incorrect since the ambiguity persists even in cases not involving backtracking counterfactualization. In this paper, I argue that causal modeling semantics has the resources enough for accounting for the ambiguity of counterfactuals. Specifically, we need to distinguish two (...) types of causal manipulation, which I call “intervention” and “extrapolation” respectively. To intervene in a causal model M is to change M’s structural equations in some specific ways, while to extrapolate M is to change the value assignment of M’s variables in some specific ways. I argue that intervention and extrapolation offer a natural explanation for the ambiguity of counterfactuals. (shrink)

What I have tried to do here is to provide a historical example of the interdependence between nature and culture that is one of the themes of this conference. To sum up: Scientific descriptions of the world emerge out of a complex interaction between nature, economic production, and the legal system. “Science” consists of a struggle among scientists, and between scientists and citizens, over what counts as “reality.” Lawmaking, in turn, consists of a struggle between people who want to allocate (...) access to resources for particular purposes, whether for commercial use, recreational use, or “natural” uses. Production, for its part, is a complicated function of technology, the sociology of user groups, the structure of legal entitlements to access, and the availability of resources. Nature, finally, is at any point, to no small degree, the product of past and present human impacts on it — which impacts, in turn, are determined in no small way by the sociology and the legal structure of the market.Each process takes place in continual conversation with all the others. As John Muir put it, “When we try to pick out anything by itself, we find it hitched to everything else in the universe.”45 Historically, resource managers have gotten into trouble when they have unconsciously assumed that such is not the case — yet such, assumptions are powerful because they are made instinctively, unthinkingly, at the level of people's basic understanding of the world and their place in it. Lots of them persist.On the other hand, in a few experimental cases in the United States and Canada where government and users have shared power and responsibility for resources management, including long-range planning for recovery and enhancement, here have been some notable improvements. The strategy goes under the name of “co-management” and involves negotiated agreements for shared decision-making between central authority and local groups. Typically, both government and industry resist such arrangements because they involve restructuring the power relations between different sectors in the industry; the result is that the few experiments in co-management that we have seen in the United States have come in areas, typically fisheries and wildlife, where the resource is in serious crisis and all of the parties to the agreement have had to abandon the positions they held previously.Examples of successful co-management regimes include those among American tribes in the Pacific Northwest, among commercial salmon fishers in Alaska, and in a project to rehabilitate the clam industry in New Jersey. Government employees and local groups share responsibility for gathering scientific data about the resources, for developing plans to manage them, and for enforcing regulations. Successful experiments at co-management seem to generate better scientific data about their resources than traditional management regimes do; they significantly reduce enforcement costs; and they enhance the economic power of the resource users. Most importantly, they nurture among the user groups a sense of control over their own destinies, and a willingness to share both costs and benefits of managing the resources rationally and to develop lasting, stable mechanisms for conflict resolution. The process is both democratic and ecologically rational. The key is to link the day-to-day work of producers to their long-range interests as residents in their communities and as working parts of the ecological systems in which they live.45At a minimum, it is clear that objective certainty about the state of the resources or the likely effect of whatever regulations we do impose is simply not attainable. This is partly because of the important role that random shocks play in the environment (and should play in our thinking about it), and also because of the sheer complexity of the system in which we are embedded. There will always be something that even the most complete model leaves out; and in any event the total system of ecology, production, and management will change every time something changes in any part of it.The policy lesson to be derived from all of this, finally, is that what we ought to sustain when we approach conservation problems is not the size of a particular resource, or even the prosperity of a particular harvesting group, but the long-term health of the interaction between nature, the economy, and the political system. We can recognize that the balance of the system, our attempted insurance against an uncertain future, democracy among user groups, and our moral duty to avoid extinguishing species — all of these things being difficult to quantify — do play integral roles in the conversation between nature and humankind, and perhaps more significant roles than the more objective measures to which we usually look for guidance. We can recognize, as John Muir did, that because everything in the universe is hitched to everything else, every step we take will change the total system in some way. When we make choices, then, we can keep an eye on what kind of conversation we want to have with the rest of Creation and make our choices accordingly. *** DIRECT SUPPORT *** A8402064 00014 *** DIRECT SUPPORT *** A8402064 00015. (shrink)

Resource allocation decisions are often made on the basis of clinical and cost effectiveness at the expense of ethical inquiry into what is acceptable. This paper proposes that a more compassionate model of resource allocation would be achieved through integrating ethical awareness with clinical, financial and legal input. Where a publicly-funded healthcare system is involved, it is suggested that having an agency that focuses solely on cost-effectiveness leaving medical, legal and ethical considerations to others would help depoliticise rationing decisions and (...) command greater public acceptance. (shrink)

The current notions of bounded rationality in economics share distinctive features with Simon’s original notion of bounded rationality, which still influences the theoretical and experimental research in the fields of choice, judgment, decision making, problem solving, and social cognition. All these notions of bounded rationality are in fact equally rooted in the information-processing approach to human cognition, expressing the view that reasoning is disembodied and that it can be reduced to the processing of abstract symbolic representations of the environment. This (...) is in contrast with the last three-decade advancements in cognitive psychology, where a new view on human cognition has emerged under the general label of ‘embodied cognition’, demonstrating that cognition and reasoning are grounded in the morphological traits of the human body and the sensory-motor system. In this paper we argue that embodied cognition might reform the current notions of bounded rationality and we propose a number of arguments devoted to outline a novel program of research under the label of ‘embodied rationality’: reasoning is situated as it arises from the ongoing interaction between the subject and the environment; reasoning, not being exclusively a mental phenomenon, constitutively relies on the physical resources provided by the environment; the sensory-motor system provides the building blocks for abstract reasoning, automatic thinking is rooted in the evolutionary coupling between the morphological traits of the human body and the environment. (shrink)

What it is about mood, as a specific type of affect, that makes it not easily amenable to standard models of rationality? It is commonly assumed that the cognitive rationality of an affective state is somehow depended upon how that state is related to what the state is about, its so called intentional object; but, given that moods do not seem to bear an intentional relation to an object, it is hard to see how they can be in the (...) offing for rational assessment. In the first part of the paper I outline three ways of attributing intentionality to moods, raising for each one of them a series of problems, thus casting doubt on the viability of an intentionalist grounding for the rationality of moods. I then move to an examination of the view of moods as background feelings, which are intimately related to how we perceive the world; however, in my view, that approach fails to provide standards of assessment that would permit appraising the mood itself as rational or irrational. Finally, I look at an account of moods as mechanisms whose function is to monitor the balance between environmental demands and one’s physical or psychological resources. That is a promising way to proceed in our exploration of mood states; it faces though some formidable phenomenological challenges. All in all, defending the rationality of moods calls for a rethinking of the assumptions that are prevalent in the current literature over the representational dimension of affective states. (shrink)

The article addresses the issue of rationing health care services, a topic currently being hotly debated in many countries. The author argues that the aspect of causal responsibility ought to play a decisive role in the allocation of limited medical resources. Starting out from Ronald Dworkin's distinction between option luck and brute luck, the appropriate and meaningful uses of the term causal responsibility are clarified first. A discussion of the conditions which might justify giving lower priority to patients whose illnesses (...) are the result of unhealthy behavior, like e.g. alcohol abuse, follows. Causal responsibility is then viewed in the context of private health insurance and the club model of organ donation. It is argued that individuals themselves are basically responsible for their decisions regarding insurance coverage and membership in organ donors' clubs. Causal responsibility is shown to be a more suitable criterion for rationing scarce medical resources than other criteria which might alternatively be considered, such as patients' age. (shrink)

Information is a force multiplier. Knowledge of the enemy's capability and intentions may be of far more value to a military force than additional troops or firepower. Situation assessment is the ongoing process of inferring relevant information about the forces of concern in a military situation. Relevant information can include force types, firepower, location, and past, present and future course of action. Situation assessment involves the incorporation of uncertain evidence from diverse sources. These include photographs, radar scans, and other forms (...) of image intelligence, or IMINT; electronics intelligence, or ELINT, derived from characteristics (e.g., wavelength) of emissions generated by enemy equipment; communications intelligence, or COMINT, derived from the characteristics of messages sent by the enemy; and reports from human informants (HUMINT). These sources must be combined to form a model of the situation. The sheer volume of data, the ubiquity of uncertainty, the number and complexity of hypotheses to consider, the high-stakes environment, the compressed time frame, and deception and damage from hostile forces, combine to present a staggeringly complex problem. Even if one could formulate a decision problem in reasonable time, explicit determination of an optimal decision policy exceeds any reasonable computational resources. While it is tempting to drop any attempt at rational analysis and rely purely on simple heuristics, we argue that this can lead to catastrophic outcomes. We present an architecture for a ``complex decision machine'' that performs rational deliberation to make decisions in real time. We argue that resource limits require such an architecture to be grounded in simple heuristic reactive processes. We thus argue that both simple heuristics and complex decision machines are required for effective decision making in real time for complex problems. We describe an implementation of our architecture applied to the problem of military situation assessment. (shrink)

Withholding or withdrawing life-saving ventilators can become necessary when resources are insufficient. With rising cases in many countries, and likely further peaks in the coming colder seasons, ventilator triage guidance remains a central part of the COVID-19 policy response. The dominant model in ventilator triage guidelines prioritises the ethical principles of saving the most lives and saving the most life-years. We sought to ascertain to what extent this focus aligns, or conflicts, with the preferences of disadvantaged minority populations. We conducted (...) a bibliographical search of PubMed and Google Scholar and reviewed all ventilator rationing guidelines included in major recent systematic reviews, yielding 589 studies before screening. Post screening, we found six studies comprising a total of 10 591 participants, with 1247 from disadvantaged populations. Three studies reported findings stratified by race and age, two of which stratified by income. Studies included two to seven principles; all included ‘save the most lives’. Involvement of disadvantaged minority populations in eliciting preferences is very limited; few studies capture race and income. This is concerning, as despite relatively small numbers and framing effects there is an observable and plausible trend suggesting that disadvantaged groups worry that dominant principles reduce their chances of receiving a ventilator. To avoid compounding prior historical and structural disadvantage, policy makers need to engage more fully with these populations in designing and justifying ventilator rationing guidance and review their adequacy. Likewise, clinicians need to be aware that their implementation of dominant triage guidelines is viewed with higher levels of concern by minority populations. (shrink)

Theories of rational decision making often abstract away from computational and other resource limitations faced by real agents. An alternative approach known as resource rationality puts such matters front and center, grounding choice and decision in the rational use of finite resources. Anticipated by earlier work in economics and in computer science, this approach has recently seen rapid development and application in the cognitive sciences. Here, the theory of rationality plays a dual role, both as a framework for normative assessment (...) and as a source of scientific hypotheses about how mental processes in fact work. The latter project, often called rational analysis, depends for its success on a fine-grained characterization of the computational problem facing a decision maker, which may in turn depend on realistic assumptions about what the relevant agent is like. As a consequence, resource rationality involves a delicate, but often fruitful interplay between the normative and the descriptive. (shrink)

Consumers can have difficulty expressing their buying intentions on an explicit level. The most common explanation for this intention-action gap is that consumers have many cognitive biases that interfere with decision making. The current resource-rational approach to understanding human cognition, however, suggests that brain environment interactions lead consumers to minimize the expenditure of cognitive energy. This means that the consumer seeks as simple of a solution as possible for a problem requiring decision making. In addition, this resource-rational approach to decision (...) making emphasizes the role of the principle of Occam’s Razor, inductive inference, and Bayesian reasoning by illuminating the human-environment relationship. This paper introduces the Consumer Contextual Decision-Making Model (CCDMM). Based on the CCDMM, two hypothetical strategies of consumer decision making will be presented. First, the SIMilarity-Strategy (SIMS) is one in which most of a consumer’s decisions in a real-life context are based on prior beliefs about the role of a commodities specific to real-life situation being encountered. Because beliefs are based on previous experiences, consumers are already aware of the most likely consequences of their actions. At the same time, they do not waste time on developing contingencies for what, based on previous experience, is unlikely to happen. Second, the What-is-Out-there-in-the-World-Strategy (WOWS) is one in which prior beliefs do not work in a real-life situation, requiring consumers to update their beliefs. The principle argument being made is that most experimental consumer research describes decision making based on the WOWS, when participants cannot apply their previous knowledge and situation-based strategy to problems. The article analyses sensory and cognitive biases described by behavioral economists from a CCDMM perspective, followed by a description and explanation of the typical intention-action gap based on the model. Prior to a section dedicated to discussion, the neuroeconomic approach will be described along with the valuation network of the brain, which has evolved to solve problems that the human has previously encountered in an information-rich environment. The principles of brain functions will also be compared to CCDMM. Finally, different approaches and the future direction of consumer research from a contextual point of view will be presented. (shrink)

In a multiagent and multi-cultural world, the fine-grained analysis of agents’ dynamic behaviour, i.e. of their activities, is essential. Dynamic activities are actions that are characterized by an agent who executes the action and by other participants of the action. Wh-questions on the participants of the actions pose a difficult particular challenge because the variability of the types of possible answers to such questions is huge. To deal with the problem, we propose the analysis and classification of Wh-questions apt for (...) agents’ communication in a multiagent system (MAS). Our proposal of such a system consists of agents who communicate with their fellow agents by messaging so that each autonomous agent, though resource-bounded, can make less or more rational decisions to meet its own and collective goals. In addition, by communicating with other fellow agents and their environment, agents can learn new concepts and enrich their ontology so that their behaviour is dynamic. We aim to make a general proposal of the system so that the ‘envelope’ of agents’ messages can be formalized in any MAS standard, be it The Foundation for Intelligent Physical Agents - Agent Communication Language (FIPA-ACL) or Knowledge Query and Manipulation Language (KQML). Yet, the content of messages is encoded in a formalized natural language. To this end, we apply Transparent Intensional Logic (TIL) with its procedural semantics which is particularly apt for a fine-grained analysis in which all the semantically salient features of natural language can be plausibly formalized. In this paper, we concentrate on analysing the content of query messages, particularly the content of those that encode Wh-questions and the answers to them. We also summarize TIL deduction system that makes it possible to answer such questions in an intelligent way. Linguists distinguish several subtypes of Wh-questions. Though the linguistic classification is helpful, it is not always suitable for agents’ communication and reasoning. We need the classification based on a logical analysis of Wh-questions so that the agents can infer possible answers to such questions rather than only looking for them by keywords. This paper aims to apply an appropriate classification of the logical types of Wh-questions and the analysis of such questions; we concentrate in particular on questions concerning the participants of activities. The application of these results to the analysis of processes and events based on verb valency frames is another novelty of the paper. (shrink)

Currently, the Internet information and communication network has become an integral part of human life. People use social networks such as Twitter, VKontakte, Facebook, etc., to establish global contacts, exchange opinions, gain knowledge, etc. The active participation of not only individual users, but also information organizations in the entire world space makes it necessary to develop measures that correspond to modern trends in the development of information and communication technologies to ensure national security, in particular, the organization of events related (...) to countering the strengthening of ideas of extremism and terrorism. Countering the spread of aggressive information on the global network is an urgent problem of society and government agencies, this task is solved by filtering unwanted Internet resources. However, terrorist and extremist groups rationally use web technologies to perform various functions, including information dissemination, propaganda, fundraising and extremist missions. In such a situation, the Internet poses a threat to national security. In this paper, we investigate the issue of creating semantic analysis models to identify extremist messages in the Kazakh language. For the study, a proprietary text corpus was assembled and models based on bigrams and word input methods were proposed. According to the results of experiments, the proposed model shows the highest indicators for evaluating machine learning methods. (shrink)

Recent debates over adults' theory of mind use have been fueled by surprising failures of perspective-taking in communication, suggesting that perspective-taking may be relatively effortful. Yet adults routinely engage in effortful processes when needed. How, then, should speakers and listeners allocate their resources to achieve successful communication? We begin with the observation that the shared goal of communication induces a natural division of labor: The resources one agent chooses to allocate toward perspective-taking should depend on their expectations about the other's (...) allocation. We formalize this idea in a resource-rational model augmenting recent probabilistic weighting accounts with a mechanism for (costly) control over the degree of perspective-taking. In a series of simulations, we first derive an intermediate degree of perspective weighting as an optimal trade-off between expected costs and benefits of perspective-taking. We then present two behavioral experiments testing novel predictions of our model. In Experiment 1, we manipulated the presence or absence of occlusions in a director–matcher task. We found that speakers spontaneously modulated the informativeness of their descriptions to account for “known unknowns” in their partner's private view, reflecting a higher degree of speaker perspective-taking than previously acknowledged. In Experiment 2, we then compared the scripted utterances used by confederates in prior work with those produced in interactions with unscripted directors. We found that confederates were systematically less informative than listeners would initially expect given the presence of occlusions, but listeners used violations to adaptively make fewer errors over time. Taken together, our work suggests that people are not simply “mindblind”; they use contextually appropriate expectations to navigate the division of labor with their partner. We discuss how a resource-rational framework may provide a more deeply explanatory foundation for understanding flexible perspective-taking under processing constraints. (shrink)

According to Pettit, an account of freedom in terms of rational control fails to suffice, for he argues that such an account lacks the resources to rule out coerced actions as unfree. The crucial feature of a coerced action is that it leaves the agent with a choice to make, an apparently rational choice to make. To the extent that it does this, it would seem to leave the agent as free as he would be in any other case where (...) there is a choice to be made. However, we do not consider actions that are coerced to be on a par with actions that are not coerced, that are performed freely as we might say. We do not hold agents similarly responsible in the two sorts of cases. So it would seem that the rational control account fails, for it appears to fail to vindicate this differential practice. In this paper, I defend the rational control account. I outline two ways in which proponents of a rational control model, broadly understood, can respond to this criticism. (shrink)

This paper describes the way in which a certain representation of basic scientific knowledge can be coupled with traditional microeconomic analysis to provide an analysis of rational research planning or agenda setting in basic science. Research planning is conceived as a resource allocation decision in which resources are being allocated to activities directed towards the solution of basic scientific problems. A structuralist representation of scientific knowledge is employed to provide a relatively precise characterization of a basic scientific problem.

In response to those who see rational deliberation as a source of epistemic norms and a model for well-functioning scientific inquiry, Solomon cites evidence that aggregative techniques often yield better results; deliberative processes are vulnerable to biasing mechanisms that impoverish the epistemic resources on which group judgments are based. I argue that aggregative techniques are similarly vulnerable and illustrate this in terms of the impact of gender schemas on both individual and collective judgment. A consistently externalist and socially naturalized approach (...) calls for symmetrical treatment of these strategies for capitalizing on what groups know. (shrink)

Modern integrative systems biology defines itself by the complexity of the problems it takes on through computational modeling and simulation. However in integrative systems biology computers do not solve problems alone. Problem solving depends as ever on human cognitive resources. Current philosophical accounts hint at their importance, but it remains to be understood what roles human cognition plays in computational modeling. In this paper we focus on practices through which modelers in systems biology use computational simulation and other tools to (...) handle the cognitive complexity of their modeling problems so as to be able to make significant contributions to understanding, intervening in, and controlling complex biological systems. We thus show how cognition, especially processes of simulative mental modeling, is implicated centrally in processes of model-building. At the same time we suggest how the representational choices of what to model in systems biology are limited or constrained as a result. Such constraints help us both understand and rationalize the restricted form that problem solving takes in the field and why its results do not always measure up to expectations. (shrink)

This book explores a new approach to understanding the human mind - rational analysis - that regards thinking as a facility adapted to the structure of the world. This approach is most closely associated with the work of John R Anderson, who published the original book on rational analysis in 1990. Since then, a great deal of work has been carried out in a number of laboratories around the world, and the aim of this book is to bring this work (...) together for the benefit of the general psychological audience. The book contains chapters by some of the world's leading researchers in memory, categorisation, reasoning, and search, who show how the power of rational analysis can be applied to the central question of how humans think. It will be of interest to students and researchers in cognitive psychology, cognitive science, and animal behaviour. (shrink)

Lieder and Griffiths introduce resource-rational analysis as a methodological device for the empirical study of the mind. But they also suggest resource-rationality serves as a normative standard to reassess the limits and scope of human rationality. Although the methodological status of resource-rational analysis is convincing, its normative status is not.

Fundamental problems of environmental sustainability, including climate change and fisheries management, require collective action on a scale that transcends the political and cultural boundaries of the nation-state. Rational, self-interested neoclassical economic theories of human behavior predict tragedy in the absence of third party enforcement of agreements and practical difficulties that prevent privatization. Evolutionary biology offers a theory of cooperation, but more often than not in a context of discrimination against other groups. That is, in-group boundaries are necessarily defined by those (...) excluded as members of out-groups. However, in some settings human’s exhibit behavior that is inconsistent with both rational economic and group driven cooperation of evolutionary biological theory. This paper reports the results of a non-cooperative game-theoretic exercise that models a tragedy of the commons problem in which groups of players may advance their own positions only at the expense of other groups. Students enrolled from multiple universities and assigned to different multi-university identity groups participated in experiments that repeatedly resulted in cooperative outcomes despite intergroup conflicts and expressions of group identity. We offer three possible explanations: students were cooperative because they were in an academic setting; students may have viewed their instructors as the out-group; or the emergence of a small number of influential, ethical leaders is sufficient to ensure cooperation amongst the larger groups. From our data and analysis, we draw out lessons that may help to inform approaches for institutional design and policy negotiations, particularly in climate change management. (shrink)

The opportunity cost model offers an ultimate explanation of ego depletion that helps to move the field beyond biologically improbable resource accounts. The model's more proximate explanation, however, falls short of accounting for much data and is based on an outdated view of human rationality. We suggest that our own process model offers a better proximate account of self-control fatigue.

ArgumentIt seems theoretically convenient to construe knowledge practices in financial markets and organizations as “applied economics.” Alternatively or additionally, one might argue that practitioners draw on economic knowledge in order to systematically orient their actions towards profit-maximization; models, then, are understood as devices that make calculative rationality possible. However, empirical studies do not entirely confirm these theoretical positions: Practitioners’ actual calculations are often not “framed” by models; organizations and institutions influence the choice and adoption of models; and (...) different professional groups in financial markets have diverging attitudes towards model calculations. In order to account for this diversity, this article proposes the concept ofcultures of economic and financial expertise; the concept focuses on the patterns of knowledge practices and knowledge-related self-definitions of groups within financial organizations and markets; it also facilitates an analysis of the relations between and, more specifically, the hierarchies among different practices and identities. The article then goes on to explore the process of foreign exchange forecasting in a particular bank. The description immediately reveals that two groups are involved in this process: economists and analysts. These groups maintain quite different practices and self-descriptions in relation to models: While the economists in the bank use the models as organizational resources for consistent forecasting procedures and observe data with the help of simple model structures, analysts approach model forecasts from the perspective of critics: They see limits in the variable-centered, as opposed to a “thematic” approach and they disregard a model's imposed temporality. Nevertheless, analysts use model forecasts as anchors for developing their own “paths” and stories about possible future expectation changes in the markets. The specific division of labor between economists and analysts, and specifically the dominant role of analysts in the forecasting process, fit into a larger picture: The rise of institutional investors in the foreign exchange markets and their demand for genuine market knowledge for speculative investment projects has contributed to the rise and dominance of analysts’ culture. (shrink)