Decision-makers in governments, enterprises, businesses and agencies or individuals, typically, make decisions according to various regulations, guidelines and policies based on existing records stored in various databases, in particular, relational databases. To assist decision-makers, an expert system, encompasses interactive computer-based systems or subsystems to support the decision-making process. Typically, most expert systems are built on top of transaction systems, databases, and data models and restricted in decision-making to the analysis, processing and presenting data and information, and (...) they do not provide support for the normative layer. This paper will provide a solution to one specific problem that arises from this situation, namely the lack of tool/mechanism to demonstrate how an expert system is well-suited for supporting decision-making activities drawn from existing records and relevant legal requirements aligned existing records stored in various databases.We present a Rule-based reporting systems architecture, which is intended to integrate databases, in particular, relational databases, with a logic-based reasoner and rule engine to assist in decision-making or create reports according to legal norms. We argue that the resulting RuleRS provides an efficient and flexible solution to the problem at hand using defeasible inference. To this end, we have also conducted empirical evaluations of RuleRS performance. (shrink)

This paper applies insights from behavioral economics and nudge theory to foster sustainable and responsible investment. SRI provides an opportunity to express and promote ethical values via choice of financial instruments. While policy-makers have tried to encourage greater participation in SRI, the majority of retail investors retain a conventional approach to investment. I develop a conceptual framework to improve the effectiveness of SRI policy-making. The first part of the framework comprises a transmission mechanism which emphasizes the role of SRI as (...) a driver for sustainable development. The second part is a model of the individual decision for or against SRI. The framework suggests that low SRI demand is a case of behavioral market failure, and that nudging is a suitable tool for dismantling behavioral barriers to SRI. A specific example of smart choice architecture is used to illustrate the framework’s potential in the design of an SRI nudge. Assuming the nudge stands up to the rigors of empirical testing, it may well provide a feasible alternative for policy-makers. (shrink)

Richard Thaler and Cass Sunstein define a nudge as “any aspect of the choice architecture that alters people's behavior in a predictable way without forbidding any options or significantly changing their economic incentives.” Much has been written about the ethics of nudging competent adult patients. Less has been written about the ethics of nudging surrogates’ decision‐making and how the ethical considerations and arguments in that context might differ. Even less has been written about nudging surrogate decision‐making in (...) the context of pediatrics, despite fundamental differences that exist between the pediatric and adult contexts. Yet, as the field of behavioral economics matures and its insights become more established and well‐known, nudges will become more crafted, sophisticated, intentional, and targeted. Thus, the time is now for reflection and ethical analysis regarding the appropriateness of nudges in pediatrics. We argue that there is an even stronger ethical justification for nudging in parental decision‐making than with competent adult patients deciding for themselves. We give three main reasons in support of this: (1) child patients do not have autonomy that can be violated (a concern with some nudges), and nudging need not violate parental decision‐making authority; (2) nudging can help fulfill pediatric clinicians’ obligations to ensure parental decisions are in the child's interests, particularly in contexts where there is high certainty that a recommended intervention is low risk and of high benefit; and (3) nudging can relieve parents’ decisional burden regarding what is best for their child, particularly with decisions that have implications for public health. (shrink)

Norris et al. argue against using evidence from phonetic decision making to support top-down feedback in lexical access on the grounds that phonetic decision relies on processes outside the normal access sequence. This leaves open the possibility that bottom-up connectionist models, with some contextual constraints built into the access process, are still preferred models of spoken-word recognition.

Several attempts have been made previously to provide a biological grounding for cognitive architectures by relating their components to the computations of specific brain circuits. Often, the architecture's action selection system is identified with the basal ganglia. However, this identification overlooks one of the most important features of the basal ganglia—the existence of a direct and an indirect pathway that compete against each other. This characteristic has important consequences in decision-making tasks, which are brought to light by Parkinson's (...) disease as well as genetic differences in dopamine receptors. This paper shows that a standard model of action selection in a cognitive architecture cannot replicate any of these findings, details an alternative solution that reconciles action selection in the architecture with the physiology of the basal ganglia, and extends the domain of application of cognitive architectures. The implication of this solution for other architectures and existing models are discussed. (shrink)

In this study, we propose and test a model of the effects of organizational ethical culture and organizational architecture on the perceived unethical behavior of employees towards customers. This study also examines the relationship between organizational ethical culture and moral acceptability judgment, hypothesizing that moral acceptability judgment is an important stage in the ethical decision-making process. Based on a field study in one of the largest financial institutions in Europe, we found that organizational ethical culture was significantly related (...) to the perceived frequency of unethical behavior towards customers and to the moral acceptability judgment of this type of unethical behavior. No support was found for the claim that features of organizational architecture are associated with the perceived frequency of unethical behavior towards customers. This is the first study to document the differential effects of organizational architecture and organizational ethical culture on perceived unethical behavior of employees towards customers, in wholesale banking. Implications for managers and future research are discussed. (shrink)

Much of our everyday, embodied action comes in the form of smooth coping. Smooth coping is skillful action that has become habituated and ingrained, generally placing less stress on cognitive load than considered and deliberative thought and action. When performed with skill and expertise, walking, driving, skiing, musical performances, and short-order cooking are all examples of the phenomenon. Smooth coping is characterized by its rapidity and relative lack of reflection, both being hallmarks of automatization. Deliberative and reflective actions provide the (...) contrast case. In Dreyfus’ classic view, smooth coping is “mindless” absorption into action, being in the flow, and any reflective thought will only interrupt this flow. Building on the pragmatist account of Dewey, others, such as Sutton, Montero, and Gallagher, insist on the intelligent flexibility built into smooth coping, suggesting that it is not equivalent to automatization. We seek to answer two complementary challenges in this article. First, how might we model smooth coping in autonomous agents at fine granularity? Second, we use this model of smooth coping to show how we might implement smooth coping in artificial intelligent agents. We develop a conceptual model of smooth coping in LIDA. LIDA is an embodied cognitive architecture implementing the global workspace theory of consciousness, among other psychological theories. LIDA’s implementation of consciousness enables us to account for the phenomenology of smooth coping, something that few cognitive architectures would be able to do. Through the fine granular analysis of LIDA, we argue that smooth coping is a sequence of automatized actions intermittently interspersed with consciously mediated action selection, supplemented by dorsal stream processes. In other words, non-conscious, automatized actions often require occasional bursts of conscious cognition to achieve the skillful and flexible adjustments of smooth coping. In addition, never-conscious dorsal stream information and associated sensorimotor processes provide further online adjustments during smooth coping. To achieve smooth coping in LIDA we introduce a new module to the LIDA cognitive architecture the Automatized Action Selection sub-module. Our complex model of smooth coping borrows notions of “embodied intelligence” from enactivism and augments these by allowing representations and more detailed mechanisms of conscious control. We explore several extended examples of smooth coping, starting from basic activities like walking and scaling up to more complex tasks like driving and short-order cooking. (shrink)

Piéron's Law describes the relationship between stimulus intensity and reaction time. Previously (Stafford & Gurney, 2004), we have shown that Piéron's Law is a necessary consequence of rise-to-threshold decision making and thus will arise from optimal simple decision-making algorithms (e.g., Bogacz, Brown, Moehlis, Holmes, & Cohen, 2006). Here, we manipulate the color saturation of a Stroop stimulus. Our results show that Piéron's Law holds for color intensity and color-naming reaction time, extending the domain of this law, in line (...) with our suggestion of the generality of the processes that can give rise to Piéron's Law. In addition, we find that Stroop condition does not interact with the effect of color saturation; Stroop interference and facilitation remain constant at all levels of color saturation. An analysis demonstrates that this result cannot be accounted for by single-stage decision-making algorithms which combine all the evidence pertaining to a decision into a common metric. This shows that human decision making is not information-optimal and suggests that the generalization of current models of simple perceptual decision making to more complex decisions is not straightforward. (shrink)

In this study, we propose and test a model of the effects of organizational ethical culture and organizational architecture on the perceived unethical behavior of employees towards customers. This study also examines the relationship between organizational ethical culture and moral acceptability judgment, hypothesizing that moral acceptability judgment is an important stage in the ethical decision-making process. Based on a field study in one of the largest financial institutions in Europe, we found that organizational ethical culture was significantly related (...) to the perceived frequency of unethical behavior towards customers and to the moral acceptability judgment of this type of unethical behavior. No support was found for the claim that features of organizational architecture are associated with the perceived frequency of unethical behavior towards customers. This is the first study to document the differential effects of organizational architecture and organizational ethical culture on perceived unethical behavior of employees towards customers, in wholesale banking. Implications for managers and future research are discussed. (shrink)

Over the past decades, due to the course towards digitalization of all areas of life, interest in modeling and creating intelligent systems has increased significantly. However, there are now a stagnation in the industry, a lack of attention to analog and bionic approaches as alternatives to digital, numerous speculations on “neuro” issues for commercial and other purposes, and an increase in social and environmental risks. The article provides an overview of the development of artificial intelligence (AI) conceptions toward increasing the (...) human likeness of machines: from the key ideas of A. Turing and J. von Neumann, who initiated the digitalization of society, to discussions about the definition of AI and the emergence of conceptions of strong and weak AI. Special attention is paid to the approach of A. Sloman, to ideas about the architecture and design of complex artificial systems are considered, which make it possible to “emotionally” expand the idea of weak/strong AI. In the article's section on the necessity and possibility of incorporating emotions into the architecture of AI, the authors reveal the goals and methodological limitations for creating an emotional artificial agent. In addition, the article briefly presents the main principles of the authors' architectural approach to the creation of emotional intellectual systems on the example of the cognitive-affective model of architecture, which allow modeling the impact of emotions on the cognitive processes involved in decision-making processes. The described architectural approach to modeling intelligent systems can be used as a conceptual basis for discussing and formulating a strategy for the development of neurocomputing, philosophy of artificial intelligence, and experimental philosophy, for developing innovative research programs, formulating and solving theoretical and methodological problems. (shrink)

Architecture has a marked influence on ethical perception. Ethical perception, in turn, has a pronounced influence on what we are morally responsible for, our decisions, choices, intentional omissions, and overt actions, for instance. It thus stands to reason that architecture bears saliently on moral responsibility. If we now introduce a widely accepted premise that one of the fundamental aims of education is to see that our children turn into morally responsible agents, we can further infer that architecture (...) has an influence on educating for moral responsibility. Our primary aims in this paper are, first, to uncover associations between architecture and ethical perception, on the one hand, and moral.. (shrink)

Debates about the modularity of cognitive architecture have been ongoing for at least the past three decades, since the publication of Fodor’s landmark book The Modularity of Mind (1983). According to Fodor, modularity is essentially tied to informational encapsulation, and as such is only found in the relatively low-level cognitive systems responsible for perception and language. According to Fodor’s critics in the evolutionary psychology camp, modularity simply reflects the fine-grained functional specialization dictated by natural selection, and it characterizes virtually (...) all aspects of cognitive architecture, including high-level systems for judgment, decision making, and reasoning. Though both of these perspectives on modularity have garnered support, the current state of evidence and argument suggests that a broader skepticism about modularity may be warranted. (shrink)

The past four decades of research in the social sciences have shed light on two important phenomena. One is that human decision-making is full of predicable errors and biases that often lead individuals to make choices that defeat their own ends (i.e., the bad choice phenomenon), and the other is that individuals’ decisions and behaviors are powerfully shaped by their environment (i.e., the influence phenomenon). Some have argued that it is ethically defensible that the influence phenomenon be utilized to (...) address the bad choice phenomenon. They propose that “choice architects” learn about the various ways in which choices can be influenced and directed by the environment, and then work to design environments, broadly construed, that influence individuals towards choices that make them better off. Those who advocate intentionally creating choice environments that lead people to better choices believe that doing so is ethically permissible because (1) it makes people better off, and (2) it does so in a way that is entirely compatible with individual liberty. The evaluation of these two claims is the main focus of this paper. (shrink)

As artificial intelligence (AI) thrives and propagates through modern life, a key question to ask is how to include humans in future AI? Despite human involvement at every stage of the production process from conception and design through to implementation, modern AI is still often criticized for its “black box” characteristics. Sometimes, we do not know what really goes on inside or how and why certain conclusions are met. Future AI will face many dilemmas and ethical issues unforeseen by their (...) creators beyond those commonly discussed (e.g., trolley problems and variants of it) and to which solutions cannot be hard-coded and are often still up for debate. Given the sensitivity of such social and ethical dilemmas and the implications of these for human society at large, when and if our AI make the “wrong” choice we need to understand how they got there in order to make corrections and prevent recurrences. This is particularly true in situations where human livelihoods are at stake (e.g., health, well-being, finance, law) or when major individual or household decisions are taken. Doing so requires opening up the “black box” of AI; especially as they act, interact, and adapt in a human world and how they interact with other AI in this world. In this article, we argue for the application of cognitive architectures for ethical AI. In particular, for their potential contributions to AI transparency, explainability, and accountability. We need to understand how our AI get to the solutions they do, and we should seek to do this on a deeper level in terms of the machine-equivalents of motivations, attitudes, values, and so on. The path to future AI is long and winding but it could arrive faster than we think. In order to harness the positive potential outcomes of AI for humans and society (and avoid the negatives), we need to understand AI more fully in the first place and we expect this will simultaneously contribute towards greater understanding of their human counterparts also. (shrink)

The practice of architecture, a discipline that is inescapably contingent on the particular, but that is also required by society in some way to represent an ideal, raises a number of specific ethical issues. Following an essay by the philosopher Thomas Nagel, this paper argues that it is intrinsic to professional judgement that this involves the prioritizing of unquantifiable ‘goods’. A twentieth-century case study is examined, which exhibits the choices made by a well-known architect. The changed nature of architectural (...) practice in the United Kingdom in the twenty-first century is then described, whereby the privilege of making such judgements has been severely limited by the substitution of managerial values for professional values. In the face of different ethical imperatives – most obviously to design responsibly within pressing ecological concerns – it is argued that the task for architects now is to re-establish a context within which sound judgements can be made, which of course implies a degree of professional trust. Their ability to balance managerial values with ethical decision-making is what may prove to be most valuable. There are implications for architectural education, which in the past has either pretended to be a science or has retreated into aesthetic speculation, providing training in the skills of persuasion rather than relationship-building. The conclusion is that ethical thinking is inescapable for the profession of architecture in the twenty-first century. (shrink)

The role of software architecture in large-scale Agile development is important because several teams need to work together to release a single software product while helping to maximise teams’ autonomy. Governing and aligning Agile architecture across autonomous squads, when using the Spotify model, is a challenge because the Spotify model lacks practices for addressing Agile architecture governance. To explore how software architecture can be governed and aligned by scaling the Spotify model, we conducted a longitudinal embedded (...) case study in a multinational FinTech organisation. Then, we developed and evaluated an approach for architectural governance by conducting an embedded case study. The collected data was analysed using Thematic Analysis and informed by selected Grounded Theory techniques such as memoing, open coding, constant comparison, and sorting. Our approach for architectural governance comprises an organisational structure change and an architecture change management process. The benefits reported by the practitioners include devolving architectural decision-making to the operational level, enhancing architectural knowledge sharing among squads, minimising wasted effort in architectural refactoring, and other benefits. The practitioners in our case study realised an improved squad autonomy by the ability to govern and align architectural decisions. We provide two key contributions in this paper. First, we present the characteristics of our proposed architectural governance approach, its evaluation, benefits, and challenges. Second, we present how the novel Heterogeneous Tailoring model was enhanced to accommodate our architectural governance approach. (shrink)

The libertarian attribute of Thaler and Sunstein’s nudge theory (Nudge: improving decisions about health, wealth, and happiness. Yale University Press, New Haven, 2008) is one of the most important features for its candidature as a new model for public policy-making. It relies on the reversibility of choices made under the influence of nudging. Since the mind is articulated into two systems, the choice taken by System 1 is always reversible because it can be overridden by the deliberative and corrective role (...) of System 2. This article does not aim to criticise the whole theory of nudge and neither to assess its practical efficacy as a policy-making tool. Rather it intends to show that there are doubts that the specific claim of reversibility is correct for a subset of nudges called “System 1 nudges” (Sunstein in The ethics of influence, Cambridge University Press, Cambridge, 2016). And that therefore, in this case, the libertarian claim seems little justified. The thrust of my argument contests the truth of the main pillar of the libertarian claim, namely the dual-process theory of mind. I will show that even the minimal version of dual reasoning, namely the Type 1 and Type 2 processes proposed by Evans and Stanovich (Perspect Psychol Sci 8(3):223–241, 2013), is weakened by psychological and neural data. (shrink)

Quantum probability (QP) theory provides an alternative account of empirical phenomena in decision making that classical probability (CP) theory cannot explain. Cognitive architectures combine probabilistic mechanisms with symbolic knowledge-based representations (e.g., heuristics) to address effects that motivate QP. They provide simple and natural explanations of these phenomena based on general cognitive processes such as memory retrieval, similarity-based partial matching, and associative learning.

Although architectural drawing tends to be thought of as either a technical necessity in relation to organizing the labor required to construct buildings or as though decorative, akin to alluring pictures in a gallery, its main task is anticipatory. Architectural drawings are prefigurative, or, as is argued in this chapter, ought to be. When the anticipatory illumination of architectural drawing is recuperated, the division of labor between architecture, as either brainwork or managerial, and building as physical exertion, is problematized. (...) Returning drawing in architecture to its prefigurative – anticipatory – vocation articulates a method for improving the results of the built environment: technically, emotionally, and artistically. (shrink)

Architectural ethics has only begun to consider in earnest what it means, in a moral sense, to be an architect.1 The academy, however, has yet to adequately to explore the ethical problems raised,2 to evaluate the types of moral issues that arise, and to develop moral principles or moral reasons that should guide decisions when encountering these moral issues inherent in certain project types. This is the case despite the practice of architecture entailing “behaviours, our choices of which may (...) be illuminated by ethical analysis.”3 Although distinguishing practice from product allows ethical critique of the practice involved in designing buildings, and recognises the significance of the architect’s moral agency, there remains very little empirically-based understanding of how the architect, once identified as a moral agent, operates as such, and still less about the circumstances in which ‘professional’ conduct may be at odds with ‘ethical’ behaviour. (shrink)

In his wide-ranging study of architecture and cultural evolution, Chris Abel argues that, despite progress in sustainable development and design, resistance to changing personal and social identities shaped by a technology-based and energy-hungry culture is impeding efforts to avert drastic climate change. The book traces the roots of that culture to the coevolution of Homo sapiens and technology, from the first use of tools as artificial extensions of the human body to the motorized cities spreading around the world, whose (...) uncontrolled effects are fast changing the planet itself. Advancing a new concept of the meme, called the 'technical meme', as the primary agent of cognitive extension and technical embodiment, Abel proposes a theory of the 'extended self' as a complex and diffuse outcome of that coevolution. Challenging conventional ideas of the self as a separate and autonomous being, the extended self, he explains, encompasses material and spatial as well as psychological and social elements, including the built environment and artifacts, and now reaches out into the virtual world of cyberspace. Drawing upon research into extended cognition and embodied minds from philosophy, psychology and the neurosciences, the book presents a new approach to environmental and cultural studies. N.B. This book was the winner of the International Committee of Architectural Critics 2017 Bruno Zevi Book Award by unanimous decision of the international jury. (shrink)

A landmark study in the field of political science, The Changing Architecture of Politics charts the profound structural changes taking place in the late twentieth-century state. Looking at both theory and practice, Cerny argues that political structures--states in the broadest sense--are the key to understanding both the history and the future of modern politics. Included for discussion are such salient topics as the problem of locating institutional and structural theory within political and social science, how to describe and classify (...) the main elements of political structures, and a penetrating analysis of the structured action field that lies at the crossroads of political structuration. In addition, he explores several core areas in practice, including how states will operate in the next century and how states will interact with the manifold changes in social and economic processes--at both the domestic and international levels. Through his masterly portrayal of the architecture of contemporary politics, Cerny lays the foundations for an understanding of new political structures that are needed if the pursuit of human values is to continue into the next century. As such, this fascinating volume will appeal to all those interested in the paradigms of political and social science, whether from a purely theoretical or from a more empirical standpoint. "This is the best introduction available in English to contemporary academic discussions about the purpose and prospects of applying the comparative method to political science. Cerny's book is comprehensive in scope and accomplishes three, quite rare tasks: it brings together material on North America, Western Europe, and Japan; it combines theories of comparative politics and international relations; it pays equal attention to systems of party competition and of interest intermediation, although its primary focus is upon the state. Philip Cerny has produced a tour de force, an intelligent, erudite, and comprehensive text that cuts decisively through artificial barriers within the discipline." --Political Science Quarterly. (shrink)

It may seem reasonable, even inevitable, that architectural practice should be based on an understanding that architects, like lawyers and doctors, should discover their clients' needs and accommodate them to the best of their abilities. But current discussion within the legal and medical professions of the conflict between service to private individuals who can pay, and to the public who cannot, suggest an expanded or altered definition of professional responsibility. Actually, the conflict between public and private interest may be more (...) acute in architecture than in other professions: the kind of buildings architects design are costly and are made possible only by the wealth of a small segment of the population or the state, yet every one raised affects the lives of people other than the one who makes the program and pays the architect for his services. Furthermore, the decisions of architects are embodied in buildings that last for generations, even for millennia, so that the overwhelming majority of people in our culture live and work in places designed not only for other people but for other times and conditions. For this reason, even the "private" practice of architecture involves responsibilities to a widespread constituency. James S. Ackerman is the author of The Architecture of Michelango, Art and Archaeology, The Cortille del Belvedere, Palladio and Palladio's Villas and is professor of fine arts at Harvard University. He has contributed "On Judging Art without Absolutes" to Critical Inquiry. (shrink)

This paper is about how to give human-like powers to complete agents. For this the most important design choice concerns the overall architecture. Questions regarding detailed mechanisms, forms of representations, inference capabilities, knowledge etc. are best addressed in the context of a global architecture in which different design decisions need to be linked. Such a design would assemble various kinds of functionality into a complete coherent working system, in which there are many concurrent, partly independent, partly mutually supportive, (...) partly potentially incompatible processes, addressing a multitude of issues on different time scales, including asynchronous, concurrent, motive generators. Designing human like agents is part of the more general problem of understanding design space, niche space and their interrelations, for, in the abstract, there is no one optimal design, as biological diversity on earth shows. (shrink)

This paper is about how to give human-like powers to complete agents. For this the most important design choice concerns the overall architecture. Questions regarding detailed mechanisms, forms of representations, inference capabilities, knowledge etc. are best addressed in the context of a global architecture in which different design decisions need to be linked. Such a design would assemble various kinds of functionality into a complete coherent working system, in which there are many concurrent, partly independent, partly mutually supportive, (...) partly potentially incompatible processes, addressing a multitude of issues on different time scales, including asynchronous, concurrent, motive generators. Designing human like agents is part of the more general problem of understanding design space, niche space and their interrelations, for, in the abstract, there is no one optimal design, as biological diversity on earth shows. (shrink)

The evolution of the understanding of evidence-based proof and decision processes in the law, especially criminal law, and standards of proof in this area, has a long-standing and controversial history. Competing accounts cause the legal scholarship to engage in critical and thoughtful exchanges. Some of the divergent views reflect different methodological perspectives similarly recognized in other fields, such as applied psychology and economy, and the broader interdisciplinary research fields of judgment and decision-making, system analysis and decision science. (...) One such methodological perspective asserts that accounts of juridical proof should provide a description and explanation of how the legal system actually works as a whole. Other—more mathematical and analytical accounts—concentrate on how, ideally, legal decision-making under uncertainty ought to be made in order be considered sensible. This paper focuses on the relative plausibility account advocated by Professors Allen and Pardo as an example of the former perspective. Its logical structure and argumentative implications are analysed using elements of decision theory, which is the prime representative of the latter, more mathematical approach to legal proof. Using formal diagrammatic schemes to depict the structural relationships between the core elements of the two accounts, it is demonstrated in what sense they can be considered logically related and congruent. The demonstration shows that the principal disagreements among the proponents of the two examined theories derive from differences in the criteria used to judge the adequacy of competing accounts of legal decision-making, and the level of formalization of the bases of decisions in each candidate account. This structural analysis supports the view that adherence to one or the other of the examined perspectives does not imply a contradiction, but reflects the coverage of different aspects of the same overall decision architecture. Using decision-theoretic notions, our analyses also provide a way to explain RP decisions through an explicit criterion, thus providing a reply to the recurrent critique that RP theory lacks specific means to justify its decisional framework. (shrink)

Neuroscience has illuminated the neural basis of decision-making, providing evidence that supports specific models of decision-processes. These models typically are quite mechanical, the realization of abstract mathematical “diffusion to bound” models. While effective decision-making seems to be essential for sophisticated behavior, central to an account of freedom, and a necessary characteristic of self-governing systems, it is not clear how the simple models neuroscience inspires can underlie the notion of self-governance. Drawing from both philosophy and neuroscience I explore (...) ways in which the proposed decision-making architectures can play a role in systems that can reasonably be thought of as “self-governing”. (shrink)

Este artigo busca expor as críticas de Bernardo de Claraval às superfluidades humanas no texto da Apologia, especialmente aquelas referentes à arte arquitetural. Em segundo lugar, procura analisar as implicações estéticas do ascetismo cisterciense e bernardiano. As críticas de Bernardo exercem uma influência decisiva na ornamentação e fazem nascer uma nova arquitetura. This paper is to expose the criticism of human superfluities at Bernard of Clairvaux in the text of the Apology, especially those related to architectural art. Secondly, analyzes the (...) aesthetic implications of cistercian and bernardian asceticism. Criticism of Bernard exercise a decisive influence on ornamentation and give birth to a new architecture. (shrink)

For several years, scholars have (for good reason) been largely preoccupied with worries about the use of artificial intelligence and machine learning (AI/ML) tools to make decisions about us. Only recently has significant attention turned to a potentially more alarming problem: the use of AI/ML to influence our decision-making. The contexts in which we make decisions—what behavioral economists call our choice architectures—are increasingly technologically-laden. Which is to say: algorithms increasingly determine, in a wide variety of contexts, both the sets (...) of options we choose from and the way those options are framed. Moreover, artificial intelligence and machine learning (AI/ML) makes it possible for those options and their framings—the choice architectures—to be tailored to the individual chooser. They are constructed based on information collected about our individual preferences, interests, aspirations, and vulnerabilities, with the goal of influencing our decisions. At the same time, because we are habituated to these technologies we pay them little notice. They are, as philosophers of technology put it, transparent to us—effectively invisible. I argue that this invisible layer of technological mediation, which structures and influences our decision-making, renders us deeply susceptible to manipulation. Absent a guarantee that these technologies are not being used to manipulate and exploit, individuals will have little reason to trust them. (shrink)

Internalism and Epistemology is a powerful articulation and defense of a classical answer to an enduring question: What is the nature of rational belief? In opposition to prevailing philosophical fashion, the book argues that epistemic externalism leads, not just to skepticism, but to epistemic nihilism - the denial of the very possibility of justification. And it defends a subtle and sophisticated internalism against criticisms that have widely but mistakenly been thought to be decisive. Beginning with an internalist response to the (...) Gettier problem, the authors deal with the problem of the connection to truth, stressing the distinction between success and rationality as critical to its resolution. They develop a metaregress argument against externalism that has devastating consequences for any view according to which epistemic principles are contingent. The same argument does not, they argue, affect the version of internalism they espouse, since its epistemic principles are analytic and knowable a priori. The final chapter addresses the problem of induction and shows that its solution turns critically on the distinction between success and rationality - the very distinction that lies at the heart of the dispute between internalists and externalists. Provocative, probing, and deliberately unfashionable, Internalism and Epistemology is a ringing defense of internalism that will interest specialists and students alike. It is essential reading for anyone who suspects that rumors of the death of traditional epistemology have been greatly exaggerated. (shrink)

We explore the idea that eye-movement strategies in reading are precisely adapted to the joint constraints of task structure, task payoff, and processing architecture. We present a model of saccadic control that separates a parametric control policy space from a parametric machine architecture, the latter based on a small set of assumptions derived from research on eye movements in reading (Engbert, Nuthmann, Richter, & Kliegl, 2005; Reichle, Warren, & McConnell, 2009). The eye-control model is embedded in a (...) class='Hi'>decision architecture (a machine and policy space) that is capable of performing a simple linguistic task integrating information across saccades. Model predictions are derived by jointly optimizing the control of eye movements and task decisions under payoffs that quantitatively express different desired speed-accuracy trade-offs. The model yields distinct eye-movement predictions for the same task under different payoffs, including single-fixation durations, frequency effects, accuracy effects, and list position effects, and their modulation by task payoff. The predictions are compared to—and found to accord with—eye-movement data obtained from human participants performing the same task under the same payoffs, but they are found not to accord as well when the assumptions concerning payoff optimization and processing architecture are varied. These results extend work on rational analysis of oculomotor control and adaptation of reading strategy (Bicknell & Levy, ; McConkie, Rayner, & Wilson, 1973; Norris, 2009; Wotschack, 2009) by providing evidence for adaptation at low levels of saccadic control that is shaped by quantitatively varying task demands and the dynamics of processing architecture. (shrink)

I admire Audi's intentions in discussing the rationality of beliefs, desires, and actions together, and doubt that this can be done internalistically, as he tries.

The “grand problem” of AI has always been to build artificial agents of human-level intelligence, capable of operating in environments of real-world complexity. OSCAR is a cognitive architecture for such agents, implemented in LISP. OSCAR is based on my extensive work in philosophy concerning both epistemology and rational decision making. This paper provides a detailed overview of OSCAR. The main conclusions are that such agents must be capablew of operating against a background of pervasive ignorance, because the real (...) world is too complex for them to know more than a small fraction of what is true. This is handled by giving the agent the power to reason defeasibily. The OSCAR system of defeasible reasoning is sketched. It is argued that if epistemic cognition must be defeasible, planning must also be done defeasibly, and the best way to do that is to reason defeasibly about plans. A sketch is given about how this might work. (shrink)

This paper examines the challenge of the calculus of risk while arguing for the necessity of new risk architecture. The field of catastrophe risk management today is faced with disasters of a totally new nature and scale as well recent important events that pose significant challenges to the established paradigm. This paper proposes a new risk architecture based around the following six central features: Growing interdependencies/globalization; change in scale from local to global risks; extreme costs, extreme benefits ; (...) confusing distribution of roles and responsibilities of preparedness; celerity ; and uncertainty, if not ignorance. The paper then looks at large-scale natural disasters and terrorism threats as two illustrative cases for understanding this new threat architecture, arguing that uncertainty related to the estimate of future disaster is even more challenging because it is so dynamic. The paper argues that in this new era of global risks and interdependencies, how people make long-term decision under conditions of uncertainty will be an important element to consider in developing the new risk architecture. (shrink)

The “grand problem” of AI has always been to build artificial agents with human-like intelligence. That is the stuff of science fiction, but it is also the ultimate aspiration of AI. In retrospect, we can understand what a difficult problem this is, so since its inception AI has focused more on small manageable problems, with the hope that progress there will have useful implications for the grand problem. Now there is a resurgence of interest in tackling the grand problem head-on. (...) Perhaps AI has made enough progress on the little problems that we can fruitfully address the big problem. The objective is to build agents of human-level intelligence capable of operating in environments of real-world complexity. I will refer to these as GIAs — “generally intelligent agents”. OSCAR is a cognitive architecture for GIAs, implemented in LISP.1 OSCAR draws heavily on my work in philosophy concerning both epistemology (Pollock 1974, 1986, 1990, 1995, 1998, 2008b, 2008; Pollock and Cruz 1999; Pollock and Oved, 2005) and rational decision making (2005, 2006, 2006a). (shrink)

Heuristics are often invoked in the philosophical, psychological, and cognitive science literatures to describe or explain methodological techniques or "shortcut" mental operations that help in inference, decision-making, and problem-solving. Yet there has been surprisingly little philosophical work done on the nature of heuristics and heuristic reasoning, and a close inspection of the way(s) in which "heuristic" is used throughout the literature reveals a vagueness and uncertainty with respect to what heuristics are and their role in cognition. This dissertation seeks (...) to remedy this situation by motivating philosophical inquiry into heuristics and heuristic reasoning, and then advancing a theory of how heuristics operate in cognition. I develop a positive working characterization of heuristics that is coherent and robust enough to account for a broad range of phenomena in reasoning and inference, and makes sense of empirical data in a systematic way. I then illustrate the work this characterization does by considering the sorts of problems that many philosophers believe heuristics solve, namely those resulting from the so-called frame problem. Considering the frame problem motivates the need to gain a better understanding of how heuristics work and the cognitive structures over which they operate. I develop a general theory of cognition which I argue underwrites the heuristic operations that concern this dissertation. I argue that heuristics operate over highly organized systems of knowledge, and I offer a cognitive architecture to accommodate this view. I then provide an account of the systems of knowledge that heuristics are supposed to operate over, in which I suggest that such systems of knowledge are concepts. The upshot, then, is that heuristics operate over concepts. I argue, however, that heuristics do not operate over conceptual content, but over metainformational relations between activated and primed concepts and their contents. Finally, to show that my thesis is empirically adequate, I consider empirical evidence on heuristic reasoning and argue that my account of heuristics explains the data. (shrink)

The paper begins as a response to Tom Rockmore's thesis that contemporary pragmatism is a healthy “confusion” of disparate views. While Rockmore sees the need of some of today's pragmatists to provide a motivation for what he calls “epistemic optimism,” I contend that the crucial question of pragmatism, the problem of pragmatism, is the ontological status of pragmatic meaning. Thus rather than a mere “epistemic optimism,” I call upon pragmatists to assert a fallible yet unabashedly metaphysical optimism. The argument supporting (...) this claim is made in the context of Peirce's “The Architecture of Theories.” In “The Architecture of Theories” Peirce opens the door to a pragmatic metaphysics while at the same time committing the error of subordinating truths and reality to “the long run of inquiry.” Rockmore suggest that the solution may lie in a return to Kant's notion of the “powers of the mind.” However, it is my contention that a solution to this problem cannot be found within Kant at all. I shall argue here that until contemporary pragmatism decisively extracts itself from the Kantian paradigm, the pragmatic philosophic value of pragmatic meaning will always be qualified, conditional and ontologically subordinated, having the same effect upon the standing of pragmatism as a philosophy as well. Moreover, I shall endeavor to show that when the Kantian paradigm is finally abandoned, pragmatism's classic difficulties with realism and what Peircc called “the long run” of scientific inquiry can also be resolved. Kantian “powers of the mind” and constructivist “epistemological optimism” would then be transformed into what I shall call unrestricted pragmatism. On the other hand if the Kantian impediment is not overcome, these difficulties will continue to form the basis of a more sceptical and traditionally restricted pragmatism, one which lacks the confidence desired by both Rockmore and myself. (shrink)

Much of the literature exploring the intersection between Deleuzo-Guattarian philosophy and architecture have focused on abstract theory, experimental projects and practices at the margins of the profession. But, one may ask, what of the mainstream, commercial practices that produce the offices, housing, shops, schools and community buildings that we see and engage with in our day-to-day lives? What of the everyday design decisions made by professional architects and technicians sitting at their desks and drawing boards? Are these to be (...) excluded from architecture's engagement with Deleuzo-Guattarian philosophy? As I will show in this paper, Deleuze and Guattari's proposals for the strata and the machinic assemblage are drawn from their underlying attempt to expand Hjelmslev's planar composition from a tool used to analyse language to a conceptual framework used to analyse the formation and evolution of all things. There is nothing within the conceptual framework of the strata/machinic assemblage to suggest, therefore, that they should not be used to analyse such practices. With this in mind, this article considers how these concepts can be translated through and help provide new insight into a real-world design sequence taken from mainstream, commercial architectural practice. In doing so it will show how such practices can offer Deleuzo-Guattarian scholars a more nuanced insight into this conceptual framework and the concepts that form it. (shrink)

We demonstrate that the key components of cognitive architectures (declarative and procedural memory) and their key capabilities (learning, memory retrieval, probability judgment, and utility estimation) can be implemented as algebraic operations on vectors and tensors in a high‐dimensional space using a distributional semantics model. High‐dimensional vector spaces underlie the success of modern machine learning techniques based on deep learning. However, while neural networks have an impressive ability to process data to find patterns, they do not typically model high‐level cognition, and (...) it is often unclear how they work. Symbolic cognitive architectures can capture the complexities of high‐level cognition and provide human‐readable, explainable models, but scale poorly to naturalistic, non‐symbolic, or big data. Vector‐symbolic architectures, where symbols are represented as vectors, bridge the gap between the two approaches. We posit that cognitive architectures, if implemented in a vector‐space model, represent a useful, explanatory model of the internal representations of otherwise opaque neural architectures. Our proposed model, Holographic Declarative Memory (HDM), is a vector‐space model based on distributional semantics. HDM accounts for primacy and recency effects in free recall, the fan effect in recognition, probability judgments, and human performance on an iterated decision task. HDM provides a flexible, scalable alternative to symbolic cognitive architectures at a level of description that bridges symbolic, quantum, and neural models of cognition. (shrink)

Cet essai insiste avant tout sur la pluralité et la complexité de l'inscription, de l'œuvre musicale dans le temps. Si c'est incontestablement au XXe siècle que se sont multipliées les avancées, ces dernières n'en seront pas moins mises en regard d'expériences antérieures souvent décisives, comme celle du style classique par exemple. La malléabilité de sa morphologie (le temps est celui de son mode de déroutement), se lit ainsi tout autant dans la pensée grammaticale que dans les conduites formelles. Celles-ci se (...) jouent tout d'abord dans la priorité donnée à l'assise technique du langage, aux limites parfois d'une abstraction nécessaire à la définition de l'outil, mais ensuite et surtout, dans l'exploration souvent insaisissable du passé, du présent et du a futur. Les mises en perspectives (dialectiques ou non), le jeu sur les effets de la réminiscence, de la prémonition du retour, ou au contraire, la concentration sur l'instant, le moment, dévouent l'élasticité du temps que la musique modifie au gré de ses constructions, jusqu'à parfois le dissoudre aux limites de la perception qui seront invoquées en fin d'ouvrage. (shrink)

Combining all four distinct volumes in the series, this compilation explores the philosophical reasons behind the existence of humanity. The first volume investigates the concept of relations, revealing that unique, complex relationships come into being simultaneously and exponentially through the combination of multiple elements. The second volume focuses on intellect, probing the most obscure corners of comprehension and conducting a fascinating tour of the human psyche. The third volume addresses volition, analyzing the extent to which human judgment, decisions, and actions (...) impact future prospects for mankind and deflect the course of nature. The fourth and final volume delves into affections, dispassionately highlighting the merits and shortcomings of man’s most ethereal faculties. (shrink)

The debate on whether and how the Internet can protect and foster human rights has become a defining issue of our time. This debate often focuses on Internet governance from a regulatory perspective, underestimating the influence and power of the governance of the Internet’s architecture. The technical decisions made by Internet Standard Developing Organisations that build and maintain the technical infrastructure of the Internet influences how information flows. They rearrange the shape of the technically mediated public sphere, including which (...) rights it protects and which practices it enables. In this article, we contribute to the debate on SDOs’ ethical responsibility to bring their work in line with human rights. We defend three theses. First, SDOs’ work is inherently political. Second, the Internet Engineering Task Force, one of the most influential SDOs, has a moral obligation to ensure its work is coherent with, and fosters, human rights. Third, the IETF should enable the actualisation of human rights through the protocols and standards it designs by implementing a responsibility-by-design approach to engineering. We conclude by presenting some initial recommendations on how to ensure that work carried out by the IETF may enable human rights. (shrink)