Argues that the key distinction between human and nonhuman social cognition consists in our complex, diverse and flexible capacities to shape each other's minds in ways that make them easier to interpret.

Translational research in medicine requires researchers to identify the steps to transfer basic scientific discoveries from laboratory benches to bedside decision-making, and eventually into clinical practice. On a parallel track, philosophical work in ethics has not been obliged to identify the steps to translate theoretical conclusions into adequate practice. The medical ethicist A. Cribb suggested some years ago that it is now time to debate ‘the business of translational’ in medical ethics. Despite the very interesting and useful perspective on the (...) field of medical ethics launched by Cribb, the debate is still missing. In this paper, I take up Cribb’s invitation and discuss further analytic distinctions needed to base an ethics aiming to translate between theory and practice. (shrink)

The understanding of decision-making systems has come together in recent years to form a unified theory of decision-making in the mammalian brain as arising from multiple, interacting systems (a planning system, a habit system, and a situation-recognition system). This unified decision-making system has multiple potential access points through which it can be driven to make maladaptive choices, particularly choices that entail seeking of certain drugs or behaviors. We identify 10 key vulnerabilities in the system: (1) moving away from homeostasis, (2) (...) changing allostatic set points, (3) euphorigenic signals, (4) overvaluation in the planning system, (5) incorrect search of situation-action-outcome relationships, (6) misclassification of situations, (7) overvaluation in the habit system, (8) a mismatch in the balance of the two decision systems, (9) over-fast discounting processes, and (10) changed learning rates. These vulnerabilities provide a taxonomy of potential problems with decision-making systems. Although each vulnerability can drive an agent to return to the addictive choice, each vulnerability also implies a characteristic symptomology. Different drugs, different behaviors, and different individuals are likely to access different vulnerabilities. This has implications for an individual's susceptibility to addiction and the transition to addiction, for the potential for relapse, and for the potential for treatment. (shrink)

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore overlapping (...) causal patterns of variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (shrink)

Akaike’s framework for thinking about model selection in terms of the goal of predictive accuracy and his criterion for model selection have important philosophical implications. Scientists often test models whose truth values they already know, and they often decline to reject models that they know full well are false. Instrumentalism helps explain this pervasive feature of scientific practice, and Akaike’s framework helps provide instrumentalism with the epistemology it needs. Akaike’s criterion for model selection also throws light on the (...) role of parsimony considerations in hypothesis evaluation. I explain the basic ideas behind Akaike’s framework and criterion; several biological examples, including the use of maximum likelihood methods in phylogenetic inference, are considered. (shrink)

Most people who are regular consumers of psychoactive drugs are not drug addicts, nor will they ever become addicts. In neurobiological theories, non-addictive drug consumption is acknowledged only as a “necessary” prerequisite for addiction, but not as a stable and widespread behavior in its own right. This target article proposes a new neurobiological framework theory for non-addictive psychoactive drug consumption, introducing the concept of “drug instrumentalization.” Psychoactive drugs are consumed for their effects on mental states. Humans are able to (...) learn that mental states can be changed on purpose by drugs, in order to facilitate other, non-drug-related behaviors. We discuss specific “instrumentalization goals” and outline neurobiological mechanisms of how major classes of psychoactive drugs change mental states and serve non-drug-related behaviors. We argue that drug instrumentalization behavior may provide a functional adaptation to modern environments based on a historical selection for learning mechanisms that allow the dynamic modification of consummatory behavior. It is assumed that in order to effectively instrumentalize psychoactive drugs, the establishment of and retrieval from a drug memory is required. Here, we propose a new classification of different drug memory subtypes and discuss how they interact during drug instrumentalization learning and retrieval. Understanding the everyday utility and the learning mechanisms of non-addictive psychotropic drug use may help to prevent abuse and the transition to drug addiction in the future. (shrink)

Recent developments in neuroscience have enabled technological advances to modulate cognitive functions of the brain. Despite ethical concerns about cognitive enhancement, both individuals and society as a whole can benefit greatly from these technologies, depending on how we regulate their use. To date, regulatory analyses of neuromodulation technologies have focused on a technology itself – for instance, the U.S. Food and Drug Administration regulation of a brain stimulation device – rather than the use of a technology, such as the use (...) of a brain stimulation device at work or school. Given that some forms of cognitive enhancement have already started to penetrate the general public’s everyday life, we should begin our discussion on potential regulatory issues regarding their use in various real-world situations. The goal of the article is to fill the gap by providing an analytic framework to examine these regulatory issues. More specifically, it aims to illustrate the issues around respecting autonomy and preventing coercive use of cognitive enhancement. The proposed framework categories the real-world settings where a neuromodulation technology can be used for cognitive enhancement based on two criteria – who is subjected to cognitive enhancement and who imposes cognitive enhancement. Based on this framework, the article analyzes regulatory issues arising out of every combination of subject/imposing party by taking one example case. Focusing on the regulations in the U.S., this analysis shows the current lack of adequate safeguards against the coercive use and calls for more attention from government agencies and researchers to develop sound policies regarding current and potentially more widespread use of cognitive enhancement. (shrink)

Although ethical decision‐making theory has evolved over the years, within the field of management, research still revolves around James Rest’s (1986) four‐step framework, dominated by a positivist epistemology and a quantitative methodology. Given that currently there is a call for a theoretical, epistemological, and methodological renovation for the enlargement and enrichment of knowledge about how decisions are morally made in organizations, this paper has a double aim. First, by showing the models’ main flaws and limitations, it critically assesses the (...) prominent theoretical models of Rest, Trevino, and Jones. Then, for decision making in organizations, the paper aims to posit a fresh moral theory that addresses the phenomenon from a comprehensive epistemological perspective. To do so, it steps back from those prominent models in order to review John Dewey’s “theory of moral life.” At the core of the proposed comprehensive theoretical framework are Dewey’s concepts of a “moral standard” and “valuation.” Finally, the paper shows how the Dewey‐based framework can both overcome the flaws and limitations that are identified in those prominent models and can enrich empirical research, therefore contributing to developing as a whole the ethical decision‐making field. (shrink)

This textbook provides a survey of the literature of social choice. It integrates the ethical aspects of the subject, with positive aspects of decision mechanisms that centre on the revelation of true preferences. The literature on the subject presently consists of a great many papers. This book draws them together in common notation and points out interpretations which are often missing in specialist papers. Applications in economics, electoral politics, and ethics are discussed. The book will be used by senior undergraduate (...) and graduate students of economics, political science and philosophy as a text book in the subject. (shrink)

“Political” corporate social responsibility involves businesses taking a political role to address “regulatory gaps” caused by weak or insufficient social and environmental standards and norms. The literature on political CSR focuses mostly on how large multinational corporations can address environmental and social problems that arise globally along their supply chains. This article addresses political CSR of small- and medium-sized enterprises. SMEs represent a major share of economic value creation worldwide and are increasingly exposed to regulatory gaps. Although SMEs differ substantially (...) from MNCs in terms of organizational characteristics, behavioral guiding principles, and financial and human resources, they should still tackle such regulatory gaps by accepting a political role. Drawing on Zadek’s model of CSR-based organizational learning and Young’s concept of social connection, this study develops a conceptual framework as the basis for discussing why SMEs should become involved in political CSR, how they can manage political CSR internally and systematically, and how their progress can be assessed by third-party observers externally. (shrink)

Nursing is frequently described as practical or pragmatic and there are many parallels between nursing and pragmatism, the school of thought. Pragmatism is often glancingly referenced by nursing authors, but few have conducted in-depth discussions about its applicability to nursing; and few have identified it as a significant theoretical basis for nursing research. William James's pragmatism has not been discussed substantially in the nursing context, despite obvious complementarities. James's theme of pluralism fits with nursing's diversity and plurality; his emphasis on (...) social conscience in our actions matches nursing's fundamental purpose of improving the lives of others; his continuous testing of pluralistic truths in critically reflective practice pairs well with nursing's focus on developing best-available, holistic evidence; and his conceptualization of truth as being born in practice and becoming an instrument in practice is entirely compatible with nursing's theory–practice identity. The oft-discussed theory–practice gap is seen to hinder the development of nursing knowledge. If nursing is to find its identity in knowledge development and potentiate the knowledge developed, it is imperative to identify and address that which is impeding progress. By way of the pragmatic tenets of William James, I will argue that a significant part of the theory–practice gap lies in how nursing knowledge development is operationalized, creating a false dichotomy between practice and research. I will also argue that the research–practice schism has been widened by continued philosophical and methodological infighting in the research community. I will describe how Jamesian pragmatism can be 'what works' for rebuilding relationships and supporting an engaged plurality within nursing research and bring research and practice together into a collaborative and iterative process of developing nursing knowledge. (shrink)

Recently there has been more attention to the cultural aspects of social robots. This paper contributes to this effort by offering a philosophical, in particular Wittgensteinian framework for conceptualizing in what sense and how robots are related to culture and by exploring what it would mean to create an “Ubuntu Robot”. In addition, the paper gestures towards a more culturally diverse and more relational approach to social robotics and emphasizes the role technology can play in addressing the challenges of (...) modernity and in assisting cultural change: it argues that robots can help us to engage in cultural dialogue, reflect on our own culture, and change how we do things. In this way, the paper contributes to the growing literature on cross-cultural approaches to social robotics. (shrink)

Recently, the mechanistic framework of active inference has been put forward as a principled foundation to develop an overarching theory of consciousness which would help address conceptual disparities in the field (Wiese 2018 ; Hohwy and Seth 2020 ). For that promise to bear out, we argue that current proposals resting on the active inference scheme need refinement to become a process theory of consciousness. One way of improving a theory in mechanistic terms is to use formalisms such as (...) computational models that implement, attune and validate the conceptual notions put forward. Here, we examine how computational modelling approaches have been used to refine the theoretical proposals linking active inference and consciousness, with a focus on the extent and success to which they have been developed to accommodate different facets of consciousness and experimental paradigms, as well as how simulations and empirical data have been used to test and improve these computational models. While current attempts using this approach have shown promising results, we argue they remain preliminary in nature. To refine their predictive and structural validity, testing those models against empirical data is needed i.e., new and unobserved neural data. A remaining challenge for active inference to become a theory of consciousness is to generalize the model to accommodate the broad range of consciousness explananda; and in particular to account for the phenomenological aspects of experience. Notwithstanding these gaps, this approach has proven to be a valuable avenue for theory advancement and holds great potential for future research. (shrink)

In order to understand how the environment influences business owner/managers’ attitudes towards tax morale, we build a theoretical model based on a neo-institutionalist framework. Our model combines three complementary perspectives on institutions—normative, cultural–cognitive and regulatory–instrumental. This enables a broader understanding of factors that influence business owner–managers’ attitudes towards tax evasion. We test the resulting hypotheses using regression analysis on survey data on business owner/managers in Latvia—a transition country, which has undergone massive institutional changes since it was part of the (...) Soviet Union over 25 years ago. We find that legitimacy of the tax authorities and the government, feeling of belonging to the nation and perceptions of the risk and severity of punishment are all associated with higher tax morale for business owners and managers. (shrink)

This paper argues that the contextual approach to natural selection does not offer an estimation of the contributions of individual and group selection to evolutionary change in multi-level selection scenarios, and that this is so because the term “group selection”, as defined by the contextual approach, does not refer to a process taking place at the group level. In the contextual analysis framework, this term simply denotes an evolutionary change that takes place due to the fact that, overall, individual (...) types do not share similar contexts or environments, and the only way to claim that such an evolutionary change is a result of selection is by admitting that “group selection” is in fact a kind of frequency-dependent selection, i.e. a selection process taking place at the individual level. Therefore, under the names “individual selection” and “group selection”, the contextual approach actually isolates two aspects of the relation between individual types and their environment, and not two distinct levels of selection. (shrink)

In public communication contexts, such as when a company announces the proposal for an important organizational change, argumentation typically involves multiple audiences, rather than a single and homogenous group, let alone an individual interlocutor. In such cases, an exhaustive and precise characterization of the audience structure is crucial both for the arguer, who needs to design an effective argumentative strategy, and for the external analyst, who aims at reconstructing such a strategic discourse. While the peculiar relevance of multiple audience is (...) often emphasized in the argumentation literature and in rhetorical studies, proposals for modelling multi-audience argumentative situations remain scarce and unsystematic. To address this gap, we propose an analytical framework which integrates three conceptual constructs: Rigotti and Rocci’s notion of communicative activity type, understood as the implementation of an interaction scheme into a piece of institutional reality, named interaction field; the stakeholder concept, originally developed in strategic management and public relations studies to refer to any actor who affects and/or is affected by the organizational actions and who, accordingly, carries an interest in them; the concept of participant role as it emerges from Goffman’s theory of conversation analysis and related linguistic and media studies. From this integration, we derive the notion of text stakeholder for referring to any organizational actor whose interest becomes an argumentative issue which the organizational text must account for in order to effectively achieve its communicative aim. The text stakeholder notion enables a more comprehensive reconstruction and characterization of multiple audience by eliciting the relevant participants staged in a text and identifying, for each of them, the interactional role they have, the peculiar interest they bear and the related argumentative issue they create. Considering as an illustrative case the defense document issued by a corporation against a hostile takeover attempt made by another corporation, we show how this framework can support the analysis of strategic maneuvering by better defining the audience demand and, so, better explaining how real arguers design and adapt their topical and presentational choices. (shrink)

This study focuses on why some companies in developing countries go beyond environmental regulations when implementing their corporate environmental social responsibilities or citizenship behavior. Drawing mainly upon the new institutional theory, this study develops a conceptual framework to explain three institutional factors: companies’ market orientations, industrial characteristics, and corporate identities. Accordingly, we suggest that companies from developing countries that are oriented to markets in developed countries, operate in highly concentrated industries, and have missionary identities adopt corporate environmental citizenship behavior (...) by going beyond environmental regulations. The study also discusses the theoretical, policy, and managerial implications of the conceptual framework. (shrink)

. The ability to enforce the provisions of a code of conduct influences whether the code is effective in shaping behavior. Enforcement relies in part on the willingness of organization members to report violations of the code, but research from the business and educational environment suggests that fewer than half of those who observe code violations follow their organizations procedures for reporting them. Based on a review of the literature in the business and educational environments, and a survey of 3605 (...) students at a mid-sized comprehensive university, this paper attempts to make conceptual sense of the non-reporting phenomenon. We present a conceptual framework based on four distinct factors which we have labeled: (1) factual non-responsibility; (2) moral non-responsibility; (3) consequential exoneration; and, (4) functional exoneration. Each of these factors suggest a different remedial strategy as well as provide a theoretical foundation for future research. Testable propositions for future research are developed, and some implications for organization leaders are discussed. (shrink)

A reproducibility principle is formulated and adopted as the guiding criterion for the acceptance of an experimental procedure as a simultaneous measurement of several observables. It is pointed out that this criterion can be applied to classical as well as quantum physics, and that it incorporates compatible as well as incompatible observables. The concept of fuzzy probability measure is presented as a possible mathematical tool for the description of statistical processes involving measurements of incompatible observables.

This article presents an impact assessment framework that allows for the evaluation of positive and negative local-level impacts that have resulted from "responsible trade" interventions such as fair trade and ethical trade. The framework investigates impact relating to (1) livelihood impacts on primary stakeholders; (2) socio-economic impacts on communities; (3) organizational impacts; (4) environmental impacts; (5) policies and institutional impacts; and (6) future prospects. It identifies relevant local-level stakeholders and facilitates the analysis of conflicting interests. The framework (...) was developed in the context of, and is applied in this article to, the fair trade coffee industry in northern Nicaragua. It was designed, however, so that it can be applied across commodity sectors and responsible trade initiatives. It is able to do this by accommodating for differences in the social, environmental, political and institutional contexts of different areas, and by taking into account the distinct nature of an initiative's overall objectives, different levels of intervention, and the full range of stakeholders involved. (shrink)

One of the main concerns in defining health is determining its status in relation to value. The main proposals in this direction generally assume a strict dichotomy between descriptive and evaluative dimensions. This essay argues that such a dichotomy leads to a theoretical inconsistency, which becomes evident once a definition of health is practically operative. A new conceptual framework uniting these two moments is proposed as an alternative, capable of preserving the fundamental insights of both descriptive and evaluative accounts (...) of health, and of avoiding the theoretical inconsistencies on the level of practical application. (shrink)

This paper suggests that many of the pressing dilemmas of bioethics are global and structural in nature. Accordingly, global ethical frameworks are required which recognize the ethically significant factors of all global actors. To this end, ethical frameworks must recognize the rights and interests of both individuals and groups (and the interrelation of these). The paper suggests that the current dominant bioethical framework is inadequate to this task as it is over-individualist and therefore unable to give significant weight to (...) the ethical demands of groups (and by extension communal and public goods). It will explore this theme by considering the inadequacy of informed consent (the ‘global standard’ of bioethics) to address two pressing global bioethical issues: medical tourism and population genetics.Using these examples it will show why consent is inadequate to address all the significant features of these ethical dilemmas. Four key failures will be explored, namely,• That the rights and interests of those related (and therefore affected) are neglected;• That consent fails to take account of the context and commitments of individuals which may constitute inducement and coercion;• That consent alone does not have the ethical weight to negate exploitation or make an unjust action just (‘the fallacy of sufficiency’);• That consent is a single one-off act which is inappropriate for the types of decision being made.It will conclude by suggesting that more appropriate models are emerging, particularly in population genetics, which can supplement consent. (shrink)

Notions of research quality are contextual in many respects: they vary between fields of research, between review contexts and between policy contexts. Yet, the role of these co-existing notions in research, and in research policy, is poorly understood. In this paper we offer a novel framework to study and understand research quality across three key dimensions. First, we distinguish between quality notions that originate in research fields and in research policy spaces. Second, drawing on existing studies, we identify three (...) attributes considered important for ‘good research’: its originality/novelty, plausibility/reliability, and value or usefulness. Third, we identify five different sites where notions of research quality emerge, are contested and institutionalised: researchers themselves, knowledge communities, research organisations, funding agencies and national policy arenas. We argue that the framework helps us understand processes and mechanisms through which ‘good research’ is recognised as well as tensions arising from the co-existence of conflicting quality notions. (shrink)

Adaptive phenotypic plasticity allows organisms to cope with environmental variability, and yet, despite its adaptive significance, phenotypic plasticity is neither ubiquitous nor infinite. In this review, we merge developmental and population genetic perspectives to explore costs and limits on the evolution of plasticity. Specifically, we focus on the role of modularity in developmental genetic networks as a mechanism underlying phenotypic plasticity, and apply to it lessons learned from population genetic theory on the interplay between relaxed selection and mutation accumulation. We (...) argue that the environmental specificity of gene expression and the associated reduction in pleiotropic constraints drive a fundamental tradeoff between the range of plasticity that can be accommodated and mutation accumulation in alternative developmental networks. This tradeoff has broad implications for understanding the origin and maintenance of plasticity and may contribute to a better understanding of the role of plasticity in the origin, diversification, and loss of phenotypic diversity. (shrink)

Estimating the effects of introducing a range of smart mobility solutions within an urban area is a crucial concern in urban planning. The lack of a simulator for the assessment of mobility initiatives forces local public authorities and mobility service providers to base their decisions on guidelines derived from common heuristics and best practices. These approaches can help planners in shaping mobility solutions; however, given the high number of variables to consider, the effects are not guaranteed. Therefore, a solution conceived (...) respecting the available guidelines can result in a failure in a different context. In particular, difficult aspects to consider are the interactions between different mobility services available in a given urban area and the acceptance of a given mobility initiative by the inhabitants of the area. In order to fill this gap, we introduce Tangramob, an agent-based simulation framework capable of assessing the impacts of a smart mobility initiative within an urban area of interest. Tangramob simulates how urban traffic is expected to evolve as citizens start experiencing newly offered traveling solutions. This allows decision makers to evaluate the efficacy of their initiatives, taking into account the current urban system. In this paper, we provide an overview of the simulation framework along with its design. To show the potential of Tangramob, three mobility initiatives are simulated and compared in the same scenario. This demonstrates how it is possible to perform comparative experiments so as to align mobility initiatives to the user goals. (shrink)