The Varsity Medical Debate, between Oxford and Cambridge Universities, brings together practitioners and the public, professors, pupils and members of the polis, to facilitate discussion about ethics and policy within healthcare. The motion on privatizing the National Health Service (NHS) was specifically chosen to reflect the growing sentiment in the UK where further discourse upon models of healthcare was required. Time and again, the outcome of British elections pivots upon the topic of financial sustainability of the NHS. Having recently celebrated (...) its sixtieth anniversary, the NHS has become heavily politicized in recent months, especially in the aftermath of the devastating global recession. (shrink)

The 2011 Varsity Medical Debate, between Oxford and Cambridge Universities, brought students and faculty together to discuss the waiving of patents for antiretroviral therapies in the developing world. With an estimated 29.5 million infected by Human Immunodeficiency Virus (HIV) in low- and middle-income countries and only 5.3 million of those being treated, the effective and equitable distribution of anti-retroviral therapy (ART) is an issue of great importance. The debate centred around three areas of contention. Firstly, there was disagreement about whether (...) patents were the real barrier to the access of anti-retroviral therapy in the developing world. Secondly, there were differing views on the effectiveness of a patent pool. Thirdly, concerns were raised over the impact of waiving patents on research to produce new and better anti retro-viral drugs. (shrink)

The well-established techniques of the professional storyteller not only have the potential to model complex “truth” but also to dig deeply into that complexity, thereby perhaps getting closer to that truth. This applies not only to fiction, but also to medicine and even science. Compelling storytelling ability may have conferred an evolutionary survival advantage and, if so, is likely represented in the neural circuitry of the human brain. Functional imaging will likely point to a neuroanatomical basis for compelling storytelling ability; (...) this will presumably reflect underlying cellular and molecular mechanisms. (shrink)

What is ‘evil’? What are the ways of overcoming this destructive and morally recalcitrant phenomenon? To what extent is the use of punitive violence tenable? _Evil and the Philosophy of Retribution _compares the responses of three modern Indian commentators on the Bhagavad-Gita — Aurobindo Ghose, Bal Gangadhar Tilak and Mahatma Gandhi. The book reveals that some of the central themes in the Bhagavad-Gita were transformed by these intellectuals into categories of modern socio-political thought by reclaiming them from pre-modern debates on (...) ritual and renunciation. Based on canonical texts, this work presents a fascinating account of how the relationship between ‘good’, ‘evil’ and retribution is construed against the backdrop of militant nationalism and the development of modern Hinduism. Amid competing constructions of Indian tradition as well as contemporary concerns, it traces the emerging representations of modern Hindu self-consciousness under colonialism, and its very understanding of evil surrounding a textual ethos. Replete with Sanskrit, English, Marathi, and Gujarati sources, this will especially interest scholars of modern Indian history, philosophy, political science, history of religion, and those interested in the Bhagavad-Gita. (shrink)

Novel computational representations, such as simulation models of complex systems and video games for scientific discovery, are dramatically changing the way discoveries emerge in science and engineering. The cognitive roles played by such computational representations in discovery are not well understood. We present a theoretical analysis of the cognitive roles such representations play, based on an ethnographic study of the building of computational models in a systems biology laboratory. Specifically, we focus on a case of model-building by an engineer that (...) led to a remarkable discovery in basic bioscience. Accounting for such discoveries requires a distributed cognition analysis, as DC focuses on the roles played by external representations in cognitive processes. However, DC analyses by and large have not examined scientific discovery, and they mostly focus on memory offloading, particularly how the use of existing external representations changes the nature of cognitive tasks. In contrast, we study discovery processes and argue that discoveries emerge from the processes of building the computational representation. The building process integrates manipulations in imagination and in the representation, creating a coupled cognitive system of model and modeler, where the model is incorporated into the modeler's imagination. This account extends DC significantly, and we present some of the theoretical and application implications of this extended account. (shrink)

Over the last two decades, corporate sustainability has been established as a legitimate research topic among management and organization scholars. This introductory article explores potential avenues for advances in research on corporate sustainability by readdressing some of the fundamental aspects of the sustainability debate and approaching some novel perspectives and insights from outside the corporate sustainability field. This essay also sketches out how each of the six articles of this special issue contribute to the literature by going back to some (...) of the conceptual roots of sustainability and/or by offering novel perspectives for research on corporate sustainability. As these six articles and the outlook on future research opportunities show, broadening the inquiry of corporate sustainability in terms of topics, theories, and methodologies holds considerable potential to improve our understanding of how decision makers and organizations respond to sustainability. (shrink)

I present a case study of scientific discovery, where building two functional and behavioral approximations of neurons, one physical and the other computational, led to conceptual and implementation breakthroughs in a neural engineering laboratory. Such building of external systems that mimic target phenomena, and the use of these external systems to generate novel concepts and control structures, is a standard strategy in the new engineering sciences. I develop a model of the cognitive mechanism that connects such built external systems with (...) internal models, and I examine how new discoveries, and consensus on discoveries, could arise from this external‐internal coupling and the building process. The model is based on the emerging framework of common coding, which proposes a shared representation in the brain between the execution, perception, and imagination of movement. (shrink)

In this modern world, a massive amount of data is processed and broadcasted daily. This includes the use of high energy, massive use of memory space, and increased power use. In a few applications, for example, image processing, signal processing, and possession of data signals, etc., the signals included can be viewed as light in a few spaces. The compressive sensing theory could be an appropriate contender to manage these limitations. “Compressive Sensing theory” preserves extremely helpful while signals are sparse (...) or compressible. It very well may be utilized to recoup light or compressive signals with less estimation than customary strategies. Two issues must be addressed by CS: plan of the estimation framework and advancement of a proficient sparse recovery calculation. The essential intention of this work expects to audit a few ideas and utilizations of compressive sensing and to give an overview of the most significant sparse recovery calculations from every class. The exhibition of acquisition and reconstruction strategies is examined regarding the Compression Ratio, Reconstruction Accuracy, Mean Square Error, and so on. (shrink)

ABSTRACT BACKGROUND: The objective of this study was to identify factors motivating women to take part in endometriosis research and to determine if these factors differ for women participating in clinical versus basic science studies. METHODS: A consecutive series of 24 women volunteering for participation in endometriosis‐related research were asked to indicate, in their own words, why they chose to volunteer. In addition, the women were asked to rate, on a scale of 0 to 10, sixteen potentially motivating factors. The (...) information was gathered in the form of an anonymous self‐administered questionnaire. RESULTS: Strong motivating factors (mean score >8) included potential benefit to other women's health, improvement to one's own condition, and participation in scientific advancement. Weak motivating factors (mean score <3) included financial compensation, making one's doctor happy, and use of ‘natural’ products. No difference was detected between clinical and basic science study participants. CONCLUSION: This study is the first study to specifically investigate the factors that motivate women to take part in endometriosis research. Understanding why women choose to take part in such research is important to the integrity of the informed consent process. The factors most strongly motivating women to participate in endometriosis research related to improving personal or public health; the weakest, to financial compensation and pleasing the doctor. (shrink)

Like the dominant moral philosophers in the Western tradition, Mahatma Gandhi reaches moral conclusions that emphasize universality, impartiality, and detachment. This is in apparent contrast to feminist philosophers who have put forth a scheme for reaching moral conclusions that gives centrality to feeling, experience, and interdependence. In the following, I show that Gandhi shares significant agreement with feminists in spite of the kinds of moral conclusions he reaches. The crucial difference between Gandhi and the feminist critics lies in how the (...) distinctiveness of the other is understood. For Gandhi, I show, that the distinctiveness of others which evokes our affection is significant only in so far as it is a starting point that aides us in reaching the highest form of moral concern—a kind of agape (unselfish love for all). (shrink)

. Management scholars and practitioners often believe that individuals and organizations benefit by trusting their work contacts. (Husted, 1998; Sonnenberg, 1994) Trust is generally viewed as “good” and imperative to a modern functioning economy (Blau, 1964; Hosmer, 1995; Zucker, 1986) Consequently, scholars and practitioners have given scant attention to the “downside” of trust, despite the fact that trust involves taking risk under conditions of uncertainty (Rousseau et al., 1998) Recent corporate scandals show that people suffer when they misplace trust in (...) untrustworthy organizations and individuals. This paper develops a model of the causes and consequences of “over-trust,” which we define as a state where a trustor’s trust exceeds that which is warranted given the conditions. The antecedents of overtrust related to characteristics of the trustee, the trustor, and situational characteristics. We examine the role played by self-monitoring and perceived power base of the trustee as two key trustee characteristics. Among trustor characteristics, we examine the role (played by trustor’s core evaluation, core values). based on cultural affiliation), prior experiences with trustees, and use of habitual thinking behavior. Under characteristics of the situation, we examine the role played by uncertainty inherent in the situation, perceived threat from the context, degree of task interdependence, and organizational systems and routines. Next, we examine three consequences of over-trust – leniency in judging the trustee, delay in perceiving exploitation, and increased risk-taking. We conclude our paper by developing a set of guidelines that organizational members may employ to avoid over-trust. (shrink)

In this book, Christian Barry and Sanjay G. Reddy propose ways in which the international trading system can support poor countries in promoting the well-being of their peoples.

This document provides a vision of the communications-related aspects of the Smart Grid in the year 2030, and lays out the technology roadmap that will lead us to the vision. This document starts with some basic knowledge of the power grid and follows up with fundamental building blocks for the communication infrastructure that will accompany the Smart Grid. Subsequently, network architectures, including overlays, are discussed at length. Also discussed, are important issues such as standards, regulations, security, and disruptive technologies. The (...) last part of this document discusses emerging technologies such as the solid state transformer, wireless beamed power, and quantum key distribution. Throughout the document, a careful distinction is made between communications capabilities and the specific technologies that are required to support those capabilities. (shrink)

This article contains an abstract of Dr. Sanjay Patnaik’s dissertation as well as a commentary essay on the research process in the appendix. In his dissertation, Dr. Patnaik examines the importance of the non-market environment for firm strategy and performance within the context of newly introduced regulations for greenhouse gases in Europe. The dissertation abstract contains a description of each dissertation chapter, including research questions, methodologies, and results. The commentary essay describes the author’s perspective on conducting research as an (...) emerging scholar. (shrink)

Modified rules for the accumulation and discharge of international sovereign debt can codify the moral and legal basis for existing ad hoc deviations and present a justifiable framework within which international lending and borrowing can take place.

This aricle discusses the similarity between the propagation of pathogens (viruses and worms) on computer networks and the proliferation of pathogens in cellular organisms (organisms with genetic material contained within a membrane-encased nucleus). It introduces several biological mechanisms which are used in these organisms to protect against such pathogens and presents security models for networked computers inspired by several biological paradigms, including genomics (RNA interference), proteomics (pathway mapping), and physiology (immune system). In addition, the study of epidemiological models for disease (...) control can inspire methods for controlling the spread of pathogens across multiple nodes of a network. It also presents results based on the authors’ research in immune system modeling. (shrink)

Identification of programs for computable functions from their graphs and identification of grammars for recursively enumerable languages from positive data are two extensively studied problems in the recursion theoretic framework of inductive inference.In the context of function identification, Freivalds et al. have shown that only those collections of functions, , are identifiable in the limit for which there exists a 1-1 computable numbering ψ and a discrimination function d such that1. for each , the number of indices i such that (...) ψi = ƒ is exactly one and2. for each , there are only finitely many indices i such that ƒ and ψi agree on the first d arguments.A similar characterization for language identification in the limit has turned out to be difficult. A partial answer is provided in this paper. Several new techniques are introduced which have found use in other investigations on language identification. (shrink)

Acceptable programming systems have many nice properties like s-m-n-Theorem, Composition and Kleene Recursion Theorem. Those properties are sometimes called control structures, to emphasize that they yield tools to implement programs in programming systems. It has been studied, among others by Riccardi and Royer, how these control structures influence or even characterize the notion of acceptable programming system. The following is an investigation, how these control structures behave in the more general setting of complete numberings as defined by Mal'cev and Eršov.

Limiting identification of r.e. indexes for r.e. languages (from a presentation of elements of the language) and limiting identification of programs for computable functions (from a graph of the function) have served as models for investigating the boundaries of learnability. Recently, a new approach to the study of "intrinsic" complexity of identification in the limit has been proposed. This approach, instead of dealing with the resource requirements of the learning algorithm, uses the notion of reducibility from recursion theory to compare (...) and to capture the intuitive difficulty of learning various classes of concepts. Freivalds, Kinber, and Smith have studied this approach for function identification and Jain and Sharma have studied it for language identification. The present paper explores the structure of these reducibilities in the context of language identification. It is shown that there is an infinite hierarchy of language classes that represent learning problems of increasing difficulty. It is also shown that the language classes in this hierarchy are incomparable, under the reductions introduced, to the collection of pattern languages. Richness of the structure of intrinsic complexity is demonstrated by proving that any finite, acyclic, directed graph can be embedded in the reducibility structure. However, it is also established that this structure is not dense. The question of embedding any infinite, acyclic, directed graph is open. (shrink)

We are at the dawn of something spectacular: cutting-edge discoveries are rewriting the boundaries between modern science and ancient spirituality. There is a clear convergence that demonstrates spiritual abilities and the divine are Real. Ancient teachers and yogis millennia ago taught us the art of living in the present moment; connecting with our higher selves; feeling the interconnectedness of the whole universe; bonding with all people; and developing stillness and mindfulness to heal our body and spirit. Today, all these skills (...) have proven beneficial to millions of people. Moreover, ancient philosophical parallels with modern discoveries in consciousness studies, quantum non-locality, and inseparability have been known since the seventies. Now, after two decades of pioneering discoveries in science, breathtaking and observable parallels with our world and universe are also emerging. This makes sense. If the ancients genuinely experienced the philosophy, they should also have known our world and universe, too. And here's the amazing evidence. An extraordinary new porthole into their ancient beliefs has opened. They are not generalized, stretched, or speculative. They are specific and objective. Anyone - theist, agnostic, skeptic, and atheist - all can easily verify. And you don't require a background in science to do so. The findings are meticulous and many have appeared in mainstream, peer-reviewed scientific journals. Also remarkable, new studies reveal a possible ancient connection between Yoga and the Bible. Genesis can be seen in a whole new light. Patel demonstrates how it leads to a magnificent, 100 percent solution to each of its Seven Days and Noah's Flood. The harmonious findings resolve many major criticisms of spiritual beliefs. They also nurture peace and mutual respect between science and the world's faiths. These amazing discoveries are yet more evidence that there is a path to harmony. A path to one. Consciousness is universal. Everything is intertwined. The Divine is Real. www.SanjayCPatel.com Reviews: "REALLY LIKED IT. AUTHENTIC." - Prof. P.S. Joshi. Scientific writer for the prestigious THE SCIENTIFIC AMERICAN Journal. Fields: general relativity, cosmology, stellar evolution, naked singularities, black holes. (shrink)

International monetary arrangements currently appear to have consequences that are incompatible with a global egalitarian conception of distributive justice. How can we create alternatives?

This research explores the influence of religiosity on consumer perception of, and response toward, sexual appeals. The first study (survey, national sample; n = 423) examines the relationship between religiosity and consumer response toward sexual appeals using causal modeling. Study 1 finds that high intrinsic religiosity consumers exhibit more adverse ethical judgments toward the company’s use of sexual appeals and these judgments, in turn, result in inferior attitudes and purchase intent toward the advertised brand. To confirm and expand on these (...) findings, the second study (experiment, young adult sample; n = 216) examines the influence of intrinsic religiosity on consumer response toward both sexual and nonsexual appeals. The results show that sexual appeals elicit inferior (superior) ethical judgments, attitudes, and purchase intent among consumers high (low) in intrinsic religiosity. In contrast, nonsexual appeals elicit (un)favorable responses from consumers who are (low) high in intrinsic religiosity. (shrink)

Coronavirus disease 2019 (COVID-19) is likely to have long-term mental health effects on individuals who have recovered from COVID-19. Rightly, there is a global response for recognition and planning on how to deal with mental health problems for everyone impacted by the global pandemic. This does not just include COVID-19 patients but the general public and health care workers as well. There is also a need to understand the role of the virus itself in the pathophysiology of mental health disorders (...) and longer-term mental health sequelae. Emerging evidence suggests that COVID-19 patients develop neurological symptoms such as headache, altered consciousness, and paraesthesia. Brain tissue oedema and partial neurodegeneration have also been observed in an autopsy. In addition, there are reports that the virus has the potential to cause nervous system damage. Together, these findings point to a possible role of the virus in the development of acute psychiatric symptoms and long-term neuropsychiatric sequelae of COVID-19. The brain pathologies associated with COVID-19 infection is likely to have a long-term impact on cognitive processes. Evidence from other viral respiratory infections, such as severe acute respiratory syndrome (SARS), suggests a potential development of psychiatric disorders, long-term neuropsychiatric disorders, and cognitive problems. In this paper, we will review and evaluate the available evidence of acute and possible long-term neuropsychiatric manifestations of COVID-19. We will discuss possible pathophysiological mechanisms and the implications this will have on preparing a long-term strategy to monitor and manage such patients. (shrink)

We outline three challenges involved in designing external representations that promote sustainable use of natural resources. First, the task environment of sustainable resource-use is highly unstructured, and involves many uncoordinated and asynchronous actions. Following from this complex nature of the task environment, more task constraints and task interactions are involved in designing representations promoting sustainability, compared to representations that seek to make tasks easier in structured task environments, such as aircraft cockpits and control rooms. Second, external representations promoting sustainable resource-use (...) need to motivate people to make decisions that sustain resources, and persist with this behavior, even though alternate behaviors are easier and commonplace. Third, external representations promoting sustainability also need to lower the cognitive load involved in sustainability decisions. This three-tiered function (meeting complex task constraints, providing motivation, lowering cognitive load) makes such representations challenging to design. However, some early prototype designs promoting sustainable resource-use have appeared recently, primarily addressing electricity use. Analyzing these digital prototypes, we outline three design principles they share, and show how these seek to address the complexities of the sustainability problem-space (complexity of task environments, goals, and representations). We then argue that at least two further cognitive scaffolds are required for effectively promoting sustainable resource use (action scripts, deconstruction). We close with some of the limitations of this approach to promoting sustainability, and outline future work. (shrink)

We outline three challenges involved in designing external representations that promote sustainable use of natural resources. First, the task environment of sustainable resource-use is highly unstructured, and involves many uncoordinated and asynchronous actions. Following from this complex nature of the task environment, more task constraints and task interactions are involved in designing representations promoting sustainability, compared to representations that seek to make tasks easier in structured task environments, such as aircraft cockpits and control rooms. Second, external representations promoting sustainable resource-use (...) need to motivate people to make decisions that sustain resources, and persist with this behavior, even though alternate behaviors are easier and commonplace. Third, external representations promoting sustainability also need to lower the cognitive load involved in sustainability decisions. This three-tiered function makes such representations challenging to design. However, some early prototype designs promoting sustainable resource-use have appeared recently, primarily addressing electricity use. Analyzing these digital prototypes, we outline three design principles they share, and show how these seek to address the complexities of the sustainability problem-space. We then argue that at least two further cognitive scaffolds are required for effectively promoting sustainable resource use. We close with some of the limitations of this approach to promoting sustainability, and outline future work. (shrink)

Acceptable programming systems have many nice properties like s-m-n-Theorem, Composition and Kleene Recursion Theorem. Those properties are sometimes called control structures, to emphasize that they yield tools to implement programs in programming systems. It has been studied, among others by Riccardi and Royer, how these control structures influence or even characterize the notion of acceptable programming system. The following is an investigation, how these control structures behave in the more general setting of complete numberings as defined by Mal'cev and Eršov.

Limiting identification of r.e. indexes for r.e. languages and limiting identification of programs for computable functions have served as models for investigating the boundaries of learnability. Recently, a new approach to the study of "intrinsic" complexity of identification in the limit has been proposed. This approach, instead of dealing with the resource requirements of the learning algorithm, uses the notion of reducibility from recursion theory to compare and to capture the intuitive difficulty of learning various classes of concepts. Freivalds, Kinber, (...) and Smith have studied this approach for function identification and Jain and Sharma have studied it for language identification. The present paper explores the structure of these reducibilities in the context of language identification. It is shown that there is an infinite hierarchy of language classes that represent learning problems of increasing difficulty. It is also shown that the language classes in this hierarchy are incomparable, under the reductions introduced, to the collection of pattern languages. Richness of the structure of intrinsic complexity is demonstrated by proving that any finite, acyclic, directed graph can be embedded in the reducibility structure. However, it is also established that this structure is not dense. The question of embedding any infinite, acyclic, directed graph is open. (shrink)

The transplant community has faced unprecedented challenges balancing risks of performing living donor transplants during the COVID-19 pandemic with harms of temporarily suspending these procedures. Decisions regarding postponement of living donation stem from its designation as an elective procedure, this despite that the Centers for Medicare and Medicaid Services categorise transplant procedures as tier 3b (high medical urgency—do not postpone). In times of severe resource constraints, health systems may be operating under crisis or contingency standards of care. In this manuscript, (...) the United Network for Organ Sharing Ethics Workgroup explores prioritisation of living donation where health systems operate under contingency standards of care and provide a framework with recommendations to the transplant community on how to approach living donation in these circumstances.To guide the transplant community in future decisions, this analysis suggests that: (1) living donor transplants represent an important option for individuals with end-stage liver and kidney disease and should not be suspended uniformly under contingency standards, (2) exposure risk to SARS-CoV-2 should be balanced with other risks, such as exposure risks at dialysis centres. Because many of these risks are not quantifiable, donors and recipients should be included in discussions on what constitutes acceptable risk, (3) transplant hospitals should strive to maintain a critical transplant workforce and avoid diverting expertise, which could negatively impact patient preparedness for transplant, (4) transplant hospitals should consider implementing protocols to ensure early detection of SARS-CoV-2 infections and discuss these measures with donors and recipients in a process of shared decision-making. (shrink)

Though it is clear that in Gandhi’s mind nonviolence and love are equivalent to one another, it is not so difficult to think of situations indicative of a real tension between these two concepts. This is the case given common understandings we have of love. I argue that for Gandhi these apparent tensions are resolved when we consider the degree to which certain necessary conditions are present in any given acts of love. Thus I show that Gandhi’s view regarding the (...) equivalence of nonviolence and love is capable of withstanding problems that arise from supposing there are different types of love. (shrink)

The behaviour of autonomous agents may deviate from that deemed to be for the good of the societal systems of which they are a part. Norms have therefore been proposed as a means to regulate agent behaviours in open and dynamic systems, where these norms specify the obliged, permitted and prohibited behaviours of agents. Regulation can effectively be achieved through use of enforcement mechanisms that result in a net loss of utility for an agent in cases where the agent’s behaviour (...) fails to comply with the norms. Recognition of compliance is thus crucial for achieving regulation. In this paper, we propose a general framework for observation of agents’ behaviour, and recognition of this behaviour as constituting, or counting as, compliance or violation. The framework deploys monitors that receive inputs from trusted observers, and processes these inputs together with transition network representations of individual norms. In this way, monitors determine the fulfillment or violation status of norms. The paper also describes a proof of concept implementation of the framework, and its deployment in electronic contracting environments. (shrink)

Gandhi’s conception of non-violence was unique in having martial and maternal elements. He drew upon the mythological figure of the noble warrior but he also stressed maternal capacity for love and endurance. The virtuous self-suffering woman and the Kshatriya warrior were the ideals that Gandhi shared with his militant Hindu nationalist opponents. By bringing together these two ideals in the combative non-violent soldier, Gandhi tried to invert his opponents’ hierarchy of values. He proposed that dying without enmity towards the adversary (...) is more courageous than killing. The truth-force required to subdue the enmity of the adversary is generated from within oneself by overcoming fear, desires and attachments. Because of the male-centric nature of this overcoming, Gandhi’s break with the militant nationalists remained incomplete. The diverse elements drawn from various traditions did not blend in the figure of the non-violent soldier because Gandhi’s interpretations of these past ideas remained influenced by the masculinist anxieties of contemporary nationalism. (shrink)

The assumptions that are made about the features of the world that are relatively changeable by agents and those that are not (constraints) play a central role in determining normative conclusions. In this way, normative reasoning is deeply dependent on accounts of the empirical world. Successful normative reasoning must avoid the naturalization of constraints and seek to attribute correctly to agents what is and is not in their power to change. Recent discourse on global justice has often come to unjustified (...) conclusions about agents obligations due to a narrow view of what is changeable and by whom. (shrink)

The emergence of new computational media is radically changing the practices of science, particularly in the way computational models are built and used to understand and engineer complex biological systems. These new practices present a novel variation of model-based reasoning, based on dynamic and opaque models. A new cognitive account of MBR is needed to understand the nature of this practice and its implications. To develop such an account, I first outline two cases where the building and use of computational (...) models led to discoveries. A theoretical model of the possible cognitive and neural mechanisms underlying such discoveries is then presented, based on the way the body schema is extended during tool use. This account suggests that the process of building the computational model gradually ‘incorporates’ the external model as a part of the internal imagination system, similar to the way tools are incorporated into the body schema through their active use. A central feature of this incorporation account is the critical role played by tacit and implicit reasoning. Based on this account, I examine how computational modeling would change model-based reasoning in science and science education. (shrink)