Background: In the present study, we aimed to better investigate attention system profile of Parkinson's disease-Mild Cognitive Impairment patients and to determine if specific attentional deficits are associated with 123I-FP-CIT SPECT.Methods: A total of 44 de novo drug-naïve PD patients [ with normal cognition and 17 with MCI ], 23 MCI patients and 23 individuals with subjective cognitive impairment were recruited at the Clinical Neurology Unit of Santa Chiara hospital. They were assessed by a wide neuropsychological battery, including Visual Search (...) Test measuring selective attention. Performances among groups were compared by non-parametric tests. Further, Spearman's rank correlations were performed to explore the association between neuropsychological variables and 123I-FP-CIT SPECT data in PD subgroup.Results: PD-MCI patients performed worse on VST than patients with PD-NC, patients with MCI and individuals with SCI. The performance of PD-MCI patients on VST significantly correlated with caudate nucleus 123I-FP-CIT SPECT uptake, whereas a negative correlation between such test and 123I-FP-CIT SPECT uptake in the left putamen was found in PD-NC patients.Conclusions: We suggest that selective attention deficit might be a trigger of cognitive decay in de novo PD-MCI patients. The VST should be routinely used to detect attentional deficits in hospital clinical practice, in the light of its closely association with dopamine depletion of basal ganglia in mildly impaired PD patients. (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)

This paper describes differences in two perspectives on the idea of virtue as a theoretical foundation for positive organizational ethics (POE). The virtue ethics perspective is grounded in the philosophical tradition, has classical roots, and focuses attention on virtue as a property of character. The positive social science perspective is a recent movement (e.g., positive psychology and positive organizational scholarship) that has implications for POE. The positive social science movement operationalizes virtue through an empirical lens that emphasizes virtuous behaviors. From (...) a virtue ethics perspective, a behaviorally based account of virtue is a weak theory of virtue. Observations are suggested for integrating the two perspectives. First, virtue should always be understood as an excellence and is often an optimal point between extreme dysfunctions on continuum of potential states. Second, an empirical exploration of virtue needs to account for character and context. Finally, the properties of organization-level virtue need to be further specified and explored. Implications and directions for future research are discussed. (shrink)

_Real Essentialism_ presents a comprehensive defence of neo-Aristotelian essentialism. Do objects have essences? Must they be the kinds of things they are in spite of the changes they undergo? Can we know what things are really like – can we define and classify reality? Many, if not most, philosophers doubt this, influenced by centuries of empiricism, and by the anti-essentialism of Wittgenstein, Quine, Popper, and other thinkers. _Real Essentialism_ reinvigorates the tradition of realist, essentialist metaphysics, defending the reality and knowability (...) of essence, the possibility of objective, immutable definition, and its relevance to contemporary scientific and metaphysical issues such as whether essence transcends physics and chemistry, the essence of life, the nature of biological species, and the nature of the person. (shrink)

Virtuousness refers to the pursuit of the highest aspirations in the human condition. It is characterized by human impact, moral goodness, and unconditional societal betterment. Several writers have recently argued that corporations, in addition to being concerned with ethics, should also emphasize an ethos of virtuousness in corporate action. Virtuousness emphasizes actions that go beyond the “do no harm” assumption embedded in most ethical codes of conduct. Instead, it emphasizes the highest and best of the human condition. This research empirically (...) examines the buffering and amplifying effects of virtuousness in organizations. The study hypothesizes that virtuousness has a positive effect on organizations because amplifying dynamics make subsequent virtuous action more likely, and buffering dynamics reduce the harmful effects of downsizing. The study reveals that two types of virtuousness – tonic and phasic – are associated with these effects. (shrink)

BackgroundAs suggested by Shook and Giordano, understanding and therefore addressing the urgent international governance issues around globalizing bio-medical/technology research and applications is limited by the perception of the underlying science.MethodsA philosophical methodology is used, based on novel and classical philosophical reflection upon existent literature, clinical wisdoms and narrative theory to discover a meta-science and telos of humankind for the development of a relevant and defendable global biomedical bioethics.ResultsIn this article, through pondering an integrative systems approach, I propose a biomedical model (...) that may provide Western biomedicine with leadership and interesting insight into the unity beyond the artificial boundaries of its traditional divisions and the limit between physiological and pathological situations. A unified biomedicine, as scientific foundation, might then provide the basis for dissolution of similar reflected boundaries within bioethics. A principled and communitarian cosmopolitan bioethics may then be synonymous with a recently proposed principled and communitarian cosmopolitan neuroethics based on a novel objective meta-ethics. In an attempt to help facilitate equal and inclusive participation in inter-, multi-, and transdisciplinary intercultural discourse regarding the aforementioned international governance issues, I offer: a meta-science derived through considering the general behaviour of activity, plasticity and balance in biology and; a novel thought framework to encourage and enhance the ability for self-evaluation, self-criticism, and self-revision aimed at broadening perspective, as well as acknowledging and responding to the strengths and limitations of extant knowledge.ConclusionsThrough classical philosophical reflection, I evolve a theory of medicine to discover a telos of humankind which in turn provides an ‘internal’ moral grounding for a proposed global biomedical bioethics. (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)

Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.

As machine learning has gradually entered into ever more sectors of public and private life, there has been a growing demand for algorithmic explainability. How can we make the predictions of complex statistical models more intelligible to end users? A subdiscipline of computer science known as interpretable machine learning (IML) has emerged to address this urgent question. Numerous influential methods have been proposed, from local linear approximations to rule lists and counterfactuals. In this article, I highlight three conceptual challenges that (...) are largely overlooked by authors in this area. I argue that the vast majority of IML algorithms are plagued by (1) ambiguity with respect to their true target; (2) a disregard for error rates and severe testing; and (3) an emphasis on product over process. Each point is developed at length, drawing on relevant debates in epistemology and philosophy of science. Examples and counterexamples from IML are considered, demonstrating how failure to acknowledge these problems can result in counterintuitive and potentially misleading explanations. Without greater care for the conceptual foundations of IML, future work in this area is doomed to repeat the same mistakes. (shrink)

We examine two different descriptions of the behavioral functions of the hippocampal system. One emphasizes spatially organized behaviors, especially those using cognitive maps. The other emphasizes memory, particularly working memory, a short-term memory that requires iexible stimulus-response associations and is highly susceptible to interference. The predictive value of the spatial and memory descriptions were evaluated by testing rats with damage to the hippocampal system in a series of experiments, independently manipulating the spatial and memory characteristics of a behavioral task. No (...) dissociations were found when the spatial characteristics of the stimuli to be remembered were changed; lesions produced a similar deficit in both spatial and nonspatial test procedures, indicating that the hippocampus was similarly involved regardless of the spatial nature of the task. In contrast, a marked dissociation was found when the memory requirements were altered. Rats with lesions were able to perform accurately in tasks that could be solved exclusively on the basis of reference memory. They performed at chance levels and showed no signs of recovery even with extensive postoperative training in tasks that required working memory. In one experiment all the characteristics of the reference memory and working memory procedures were identical except the type of memory required. Consequently, the behavioral dissociation cannot be explained by differences in attention, motivation, response inhibition, or the type of stimuli to be remembered. As a result of these experiments we propose that the hippocampus is selectively involved in behaviors that require working memory, irrespective of the type of material that is to be processed by that memory. (shrink)

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealisedexplanation gamein which players collaborate to find the best explanation(s) 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 (conditionally) 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)

DCPS is a connectionist production system interpreter that uses distributed representations. As a connectionist model it consists of many simple, richly interconnected neuron‐like computing units that cooperate to solve problems in parallel. One motivation for constructing DCPS was to demonstrate that connectionist models are capable of representing and using explicit rules. A second motivation was to show how “coarse coding” or “distributed representations” can be used to construct a working memory that requires far fewer units than the number of different (...) facts that can potentially be stored. The simulation we present is intended as a detailed demonstration of the feasibility of certain ideas and should not be viewed as a full implementation of production systems. Our current model only has a few of the many interesting emergent properties that we eventually hope to demonstrate: It is damage‐resistant, it performs matching and variable binding by massively parallel constraint satisfaction, and the capacity of its working memory is dependent on the similarity of the items being stored. (shrink)

The public forum has been connected to the functioning of democracy, expressive freedom, and the media's role in society. While the public forum's legal contours have been examined, the ethical foundation of the public forum has not. Relying on archival research, this article argues that ideas about the public forum can be traced to the pragmatism of Grenville Clark, who influenced ideas about the public forum through his work on the American Bar Association's Bill of Rights Committee.

Contents:Acknowledgements Foreword (Lt. Ervin J. Rokke)Preface (Davis S. Alberts and Thomas Czerwinski)SETTING THE SCENEThe Simple and the Complex (Murray Gell-Mann)America in the World Today (Zbigniew Brzezinski)COMPLEXITY THEORY and NATIONAL SECURITY POLICYComplex Systems: The Role of Interactions (Robert Jervis)Many Damn Things Simultaneously: Complexity Theory and World Affairs (James N. Rosenau)Complexity, Chaos, and National Security Policy: Metaphors or Tools? (Alvin M. Saperstein)The Reaction to Chaos (Steven R. Mann)COMPLEXITY THEORY, STRATEGY, and OPERATIONSClausewitz, Nonlinearity, and the Importance of Imagery (Alan D. Beyerchen)Complexity and Organization (...) Management (Robert R. Maxfield)Command and (Out of) Control: The Military Implications of Complexity Theory (John F. Schmitt)Complexity Theory and Air Power (Steven M. Rinaldi)Chaos Theory and U. S. Military Strategy: A "Leapfrog" Strategy for U.S. Defense Policy (Michael J. Mazarr)Contributors EditorsBibliography. (shrink)

"Nivison brings out the exciting variety within Confucian thought, as he interprets and elucidates key thinkers from over two thousand years, from Confucius himself, through Mencius and Xunzi, to such later Confucians as Wang Yangming, Dai Zhen, and Zhang Xuecheng."--Cover.

This introduction to the basic forms of deductive inference as evaluated by methods of modern symbolic logic is de­signed for sophomore-junior-level stu­dents ready to specialize in the study of deductive logic. It can be used also for an introductory logic course. The inde­pendence of many sections allows the instructor utmost flexibility. The text consists of eight chapters, the first six of which are designed to intro­duce the student to basic topics of sen­tence and predicate logic. The last two chapters extend (...) the procedures of the first six to alethic modal logic, the logic of imperatives, and deontic logic. Throughout the text there is an attempt to relate symbolic techniques to issues in the philosophy of logic. (shrink)

The distinction between the essence of an object and its properties has been obscured in contemporary discussion of essentialism. Locke held that the properties of an object are exclusively those features that ‘flow’ from its essence. Here he follows the Aristotelian theory, leaving aside Locke’s own scepticism about the knowability of essence. I defend the need to distinguish sharply between essence and properties, arguing that essence must be given by form and that properties flow from form. I give a precise (...) definition of what the term of art ‘flow’ amounts to, and apply the distinction to various kinds of taxonomic issues. (shrink)

Clarke proposes a conception of philosophy that provides an alternative to the reductions of materialism and the search for normative principles. Philosophy's proper role is to describe similarities and differences among differing levels of language, specifically the familiar level of discourse within an ordinary language shared by all and the specialized discourses of social institutions such as science, law, and the arts. By constructing a logical framework in which these comparisons and contrasts can be made, philosophy performs the indispensable role (...) of promoting the integration of disparate elements of our culture. (shrink)

This is a series of essays critical of the utilitarian bioethics now dominating contemporary discussion. Analysing questions of moral theory as well as applied ethics this book aims to supply essays on matters as diverse as beginning and end-of-life issues as well as animal rights, the act-omission distinction and the principle of double effect in caring in medical ethics.

Farm to institution (FTI) efforts aim to increase the amount of locally produced foods, typically fruits and vegetables, served by institutions such as schools, colleges, hospitals, senior meal sites, and correctional facilities. Scholars have cited these efforts as contributing to public health and community-based food systems goals. Prior research has found that relationships based on shared values have played a critical role in motivating and sustaining FTI efforts. We review previous studies, discussing values that motivate participation, and affect practices and (...) relationships in FTI supply chains. We use semi-structured interviews to better understand supply chain actors’ values and motivations and how they affect behaviors, with the aim of informing efforts to increase the scope and effectiveness of FTI efforts. All participants are currently engaged in FTI efforts. We find a mix of social and economic values were present for farmers, distributors, and buyers. Our implications focus on the importance of shared values and relationships, the benefit of local food for businesses along the supply chain, and the potential of non-school institution markets as entry points for farmers. (shrink)

As part of the South Carolina Law Review's symposium on the Roberts Court and Equal Protection, this essay looks at Justice Kennedy's sex discrimination jurisprudence. With the new Court, it's natural to be concerned with how the two new Justices might vote in upcoming sex discrimination cases. However, in this essay, I assume what has been the case so far from Chief Justice Roberts and Justice Alito - that they are reliable votes joining Justices Scalia and Thomas on the Court's (...) more conservative wing. The Justice most people should focus on now is Justice Kennedy, the new median Justice now that Justice O'Connor has retired. This essay seeks to analyze Justice Kennedy's sex discrimination jurisprudence and draw conclusions about his thoughts on sex and gender. First, it reviews the cases involving sex discrimination that Justice Kennedy has participated in while on the Court and shows that he has been a fairly consistent vote against sex discrimination claims. Second, it analyzes Justice Kennedy's votes and opinions in sex discrimination cases and attempt to summarize his views. Finally, the essay evaluates Justice Kennedy's conceptions of gender in his opinions and votes. The essay concludes that Justice Kennedy's new role as median Justice is troubling for sex equality jurisprudence generally and constitutional sex discrimination cases specifically, as Justice Kennedy has shown a tendency, in the many cases arising in the parent/child context, to adhere to traditional and paternalistic gender roles. (shrink)

Unsupervised learning algorithms are widely used for many important statistical tasks with numerous applications in science and industry. Yet despite their prevalence, they have attracted remarkably little philosophical scrutiny to date. This stands in stark contrast to supervised and reinforcement learning algorithms, which have been widely studied and critically evaluated, often with an emphasis on ethical concerns. In this article, I analyze three canonical unsupervised learning problems: clustering, abstraction, and generative modeling. I argue that these methods raise unique epistemological and (...) ontological questions, providing data-driven tools for discovering natural kinds and distinguishing essence from contingency. This analysis goes some way toward filling the lacuna in contemporary philosophical discourse on unsupervised learning, as well as bringing conceptual unity to a heterogeneous field more often described by what it isnot(i.e., supervised or reinforcement learning) than by what itis. I submit that unsupervised learning is not just a legitimate subject of philosophical inquiry but perhaps the most fundamental branch of all AI. However, an uncritical overreliance on unsupervised methods poses major epistemic and ethical risks. I conclude by advocating for a pragmatic, error-statistical approach that embraces the opportunities and mitigates the challenges posed by this powerful class of algorithms. (shrink)

Necessity and sufficiency are the building blocks of all successful explanations. Yet despite their importance, these notions have been conceptually underdeveloped and inconsistently applied in explainable artificial intelligence, a fast-growing research area that is so far lacking in firm theoretical foundations. In this article, an expanded version of a paper originally presented at the 37th Conference on Uncertainty in Artificial Intelligence, we attempt to fill this gap. Building on work in logic, probability, and causality, we establish the central role of (...) necessity and sufficiency in XAI, unifying seemingly disparate methods in a single formal framework. We propose a novel formulation of these concepts, and demonstrate its advantages over leading alternatives. We present a sound and complete algorithm for computing explanatory factors with respect to a given context and set of agentive preferences, allowing users to identify necessary and sufficient conditions for desired outcomes at minimal cost. Experiments on real and simulated data confirm our method’s competitive performance against state of the art XAI tools on a diverse array of tasks. (shrink)

Deductive Logic is designed as an intermediate-level text directed at upper-division students from philosophy and the humanities. Its focus is exclusively on deductive logic, avoiding altogether topics such as informal reasoning and scientific method normally included in introductory logic courses. Its exposition of logical topics is informal, with emphasis on explaining the basic concepts and procedures of modern symbolic logic in the simplest and most intuitive manner possible rather than on developing a rigorous formal system and providing proofs of its (...) properties. The fact that the text presupposes a course offered to philosophy students and serves to introduce them to logic as the "language of philosophy" has strongly influenced the selection of topics. The topics here are controversial, and the problems not easily resolved, but this text strives to relate the formal logical structures introduced to issues of philosophic interest. (shrink)

(1999). Critical hermeneutics and American legal interpretation:A search for the meaning of new york times v. sullivan. Angelaki: Vol. 4, Judging the law, pp. 173-188.

The goal of this paper is to increase interest in Cicero’s “De Officiis” as both a textbook and resource for developing curricula at the secondary and post-secondary level. The paper begins by tracing the extensive influence that the work has had in ethics, political philosophy, literature, and education before proceeding to an explanation for why its influence has waned since the nineteenth century. Next, the paper contends that “De Officiis” addresses some of the most relevant and pressing questions in ethics. (...) Finally, the paper provides suggestions on how the work can be used in the classroom. (shrink)

The goal of this paper is to increase interest in Cicero’s “De Officiis” as both a textbook and resource for developing curricula at the secondary and post-secondary level. The paper begins by tracing the extensive influence that the work has had in ethics, political philosophy, literature, and education before proceeding to an explanation for why its influence has waned since the nineteenth century. Next, the paper contends that “De Officiis” addresses some of the most relevant and pressing questions in ethics. (...) Finally, the paper provides suggestions on how the work can be used in the classroom. (shrink)