Results for 'collective intelligence'

995 found
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  1. How Common Standards Can Diminish Collective Intelligence: A Computational Study.Michael Morreau & Aidan Lyon - 2016 - Journal of Evaluation in Clinical Practice 22 (4):483-489.
    Making good decisions depends on having accurate information – quickly, and in a form in which it can be readily communicated and acted upon. Two features of medical practice can help: deliberation in groups and the use of scores and grades in evaluation. We study the contributions of these features using a multi-agent computer simulation of groups of physicians. One might expect individual differences in members’ grading standards to reduce the capacity of the group to discover the facts on which (...)
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  2.  42
    Collective Intelligence and Ethical Individualism.Richard Volkman - 2013 - Acm Sigcas Computers and Society 43 (1):36-46.
    Many commentators conceive the self in either atomistic or holistic terms, even as our understanding of the self as a node of processing within the wider network for revealing the “wisdom of crowds” has long transcended this dichotomy. Understanding the self as a “center of narrative gravity” leaves room for a robust individualism in the context of rich sociality. Such a conception is already present in the classic individualism of the 19th Century and supports optimism that digital culture at once (...)
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  3. Mandevillian Intelligence: From Individual Vice to Collective Virtue.Paul Smart - 2018 - In Joseph Adam Carter, Andy Clark, Jesper Kallestrup, Spyridon Orestis Palermos & Duncan Pritchard (eds.), Socially-Extended Epistemology. Oxford, UK: Oxford University Press. pp. 253–274.
    Mandevillian intelligence is a specific form of collective intelligence in which individual cognitive shortcomings, limitations and biases play a positive functional role in yielding various forms of collective cognitive success. When this idea is transposed to the epistemological domain, mandevillian intelligence emerges as the idea that individual forms of intellectual vice may, on occasion, support the epistemic performance of some form of multi-agent ensemble, such as a socio-epistemic system, a collective doxastic agent, or an (...)
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  4.  92
    Moral Projection and the Intelligibility of Collective Forgiveness.Harry Bunting - 2009 - Yearbook of the Irish Philosophical Society 7:107 - 120.
    ABSTRACT. The paper explores the philosophical intelligibility of contemporary defences of collective political forgiveness against a background of sceptical doubt, both general and particular. Three genera sceptical arguments are examined: one challenges the idea that political collectives exist; another challenges the idea that moral agency can be projected upon political collectives; a final argument challenges the attribution of emotions, especially anger, to collectives. Each of these sceptical arguments is rebutted. At a more particular level, the contrasts between individual forgiveness (...)
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  5. Epistemological Intelligence.Steven James Bartlett - 2017 - Willamette University Faculty Research Website.
    The monograph’s twofold purpose is to recognize epistemological intelligence as a distinguishable variety of human intelligence, one that is especially important to philosophers, and to understand the challenges posed by the psychological profile of philosophers that can impede the development and cultivation of the skills associated with epistemological intelligence.
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  6. Science is Not Always “Self-Correcting” : Fact–Value Conflation and the Study of Intelligence.Nathan Cofnas - 2016 - Foundations of Science 21 (3):477-492.
    Some prominent scientists and philosophers have stated openly that moral and political considerations should influence whether we accept or promulgate scientific theories. This widespread view has significantly influenced the development, and public perception, of intelligence research. Theories related to group differences in intelligence are often rejected a priori on explicitly moral grounds. Thus the idea, frequently expressed by commentators on science, that science is “self-correcting”—that hypotheses are simply abandoned when they are undermined by empirical evidence—may not be correct (...)
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  7. The Rights of Foreign Intelligence Targets.Michael Skerker - 2021 - In Seumas Miller, Mitt Regan & Patrick Walsh (eds.), National Security Intelligence and Ethics. London: Routledge. pp. 89-106.
    I develop a contractualist theory of just intelligence collection based on the collective moral responsibility to deliver security to a community and use the theory to justify certain kinds of signals interception. I also consider the rights of various intelligence targets like intelligence officers, service personnel, government employees, militants, and family members of all of these groups in order to consider how targets' waivers or forfeitures might create the moral space for just surveillance. Even people who (...)
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  8. Invisible Influence: Artificial Intelligence and the Ethics of Adaptive Choice Architectures.Daniel Susser - 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society 1.
    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 (...)
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  9.  91
    Intelligence Cycle.Nicolae Sfetcu - manuscript
    The intelligence cycle is a set of processes used to provide useful information for decision-making. The cycle consists of several processes. The related counter-intelligence area is tasked with preventing information efforts from others. A basic model of the process of collecting and analyzing information is called the "intelligence cycle". This model can be applied, and, like all the basic models, it does not reflect the fullness of real-world operations. Through intelligence cycle activities, information is collected and (...)
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  10. Risks of Artificial Intelligence.Vincent C. Müller (ed.) - 2016 - CRC Press - Chapman & Hall.
    Papers from the conference on AI Risk (published in JETAI), supplemented by additional work. --- If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory. -- Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is the first volume of (...)
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  11. Intelligence Methodologies.Nicolae Sfetcu - manuscript
    Methodology, in intelligence, consists of the methods used to make decisions about threats, especially in the intelligence analysis discipline. The enormous amount of information collected by intelligence agencies often puts them in the inability to analyze them all. The US intelligence community collects over one billion daily information. The nature and characteristics of the information gathered as well as their credibility also have an impact on the intelligence analysis. Clark proposed a methodology for analyzing information (...)
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  12. Intelligence Analysis.Nicolae Sfetcu - manuscript
    The analysts are in the field of "knowledge". Intelligence refers to knowledge and the types of problems addressed are knowledge problems. So, we need a concept of work based on knowledge. We need a basic understanding of what we know and how we know, what we do not know, and even what can be known and what is not known. The analysis should provide a useful basis for conceptualizing intelligence functions, of which the most important are "estimation" and (...)
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  13. Why We Should Create Artificial Offspring: Meaning and the Collective Afterlife.John Danaher - 2018 - Science and Engineering Ethics 24 (4):1097-1118.
    This article argues that the creation of artificial offspring could make our lives more meaningful. By ‘artificial offspring’ I mean beings that we construct, with a mix of human and non-human-like qualities. Robotic artificial intelligences are paradigmatic examples of the form. There are two reasons for thinking that the creation of such beings could make our lives more meaningful and valuable. The first is that the existence of a collective afterlife—i.e. a set of human-like lives that continue after we (...)
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  14. Artificial Intelligence: Opportunities and Implications for the Future of Decision Making.U. K. Government & Office for Science - 2016
    Artificial intelligence has arrived. In the online world it is already a part of everyday life, sitting invisibly behind a wide range of search engines and online commerce sites. It offers huge potential to enable more efficient and effective business and government but the use of artificial intelligence brings with it important questions about governance, accountability and ethics. Realising the full potential of artificial intelligence and avoiding possible adverse consequences requires societies to find satisfactory answers to these (...)
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  15. Seven More Views on Intelligent Design.Moorad Alexanian - 2002 - Physics Today 55 (9):10-13.
    Science deals with the physical aspect of reality; its subject matter is data that, in principle, can be collected solely by physical devices. If physical devices cannot measure something, then that something is not the subject matter of science. Of course, the whole of reality encompasses more than the physical.
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  16. Social Intelligence: How to Integrate Research? A Mechanistic Perspective.Marcin Miłkowski - 2014 - Proceedings of the European Conference on Social Intelligence (ECSI-2014).
    Is there a field of social intelligence? Many various disciplines ap-proach the subject and it may only seem natural to suppose that different fields of study aim at explaining different phenomena; in other words, there is no spe-cial field of study of social intelligence. In this paper, I argue for an opposite claim. Namely, there is a way to integrate research on social intelligence, as long as one accepts the mechanistic account to explanation. Mechanistic inte-gration of different (...)
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  17.  36
    Machine Intelligence, New Interfaces, and the Art of the Soluble.Michael J. Lyons - 2017 - Arxiv.
    Position: (1) Partial solutions to machine intelligence can lead to systems which may be useful creating interesting and expressive musical works. (2) An appropriate general goal for this field is augmenting human expression. (3) The study of the aesthetics of human augmentation in musical performance is in its infancy. -/- CHI 2015 Workshop on Collaborating with Intelligent Machines: Interfaces for Creative Sound, April 18, 2015, Seoul, Republic of Korea.
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  18. Analogy of intelligence with other disciplines.Nicolae Sfetcu - manuscript
    Intelligence analysis has many important epistemological resemblances with science (problem solving, discovery, skillful use of tools, knowledge verification) and is more interested in a posteriori than a priori knowledge, on how or the basis on which a proposition may be known. The puzzle metaphor is used in both information and archeology. Both disciplines involve collecting evidence to build as complete a picture as possible. The process of converting raw information into actionable processed intelligence is almost identical for governmental (...)
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  19.  80
    A Framework for Grounding the Moral Status of Intelligent Machines.Michael Scheessele - 2018 - AIES '18, February 2–3, 2018, New Orleans, LA, USA.
    I propose a framework, derived from moral theory, for assessing the moral status of intelligent machines. Using this framework, I claim that some current and foreseeable intelligent machines have approximately as much moral status as plants, trees, and other environmental entities. This claim raises the question: what obligations could a moral agent (e.g., a normal adult human) have toward an intelligent machine? I propose that the threshold for any moral obligation should be the "functional morality" of Wallach and Allen [20], (...)
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  20. Minding the Future: Artificial Intelligence, Philosophical Visions and Science Fiction.Barry Francis Dainton, Will Slocombe & Attila Tanyi (eds.) - 2021 - Springer.
    Bringing together literary scholars, computer scientists, ethicists, philosophers of mind, and scholars from affiliated disciplines, this collection of essays offers important and timely insights into the pasts, presents, and, above all, possible futures of Artificial Intelligence. This book covers topics such as ethics and morality, identity and selfhood, and broader issues about AI, addressing questions about the individual, social, and existential impacts of such technologies. Through the works of science fiction authors such as Isaac Asimov, Stanislaw Lem, Ann Leckie, (...)
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  21.  36
    A Study of Emotional Intelligence of Electrical Engineering Students in Dire Dawa University Ethiopia.Mustefa Jibril - 2021 - Report and Opinion Journal 13 (7):5-7.
    The present study was carried out to study the emotional intelligence of Electrical Engineering students in Dire Dawa University Ethiopia. The sample for the study was 90 (30 Industrial control engineering streams, 30 Power system engineering streams, and 30 Communication engineering streams) randomly selected from Dire Dawa university, school of electrical and computer engineering. A sample scale was employed for the data collection and a t-test was employed for the analysis of data. The outcome of the study shows that (...)
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  22. Epistemology of Intelligence Agencies.Nicolae Sfetcu - manuscript
    About the analogy between the epistemological and methodological aspects of the activity of intelligence agencies and some scientific disciplines, advocating for a more scientific approach to the process of collecting and analyzing information within the intelligence cycle. I assert that the theoretical, ontological and epistemological aspects of the activity of many intelligence agencies are underestimated, leading to incomplete understanding of current phenomena and confusion in inter-institutional collaboration. After a brief Introduction, which includes a history of the evolution (...)
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  23. A Proof-Theoretical View of Collective Rationality.Daniele Porello - 2013 - In Proceedings of the 23rd International Joint Conference of Artificial Intelligence (IJCAI 2013).
    The impossibility results in judgement aggregation show a clash between fair aggregation procedures and rational collective outcomes. In this paper, we are interested in analysing the notion of rational outcome by proposing a proof-theoretical understanding of collective rationality. In particular, we use the analysis of proofs and inferences provided by linear logic in order to define a fine-grained notion of group reasoning that allows for studying collective rationality with respect to a number of logics. We analyse the (...)
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  24. A Survey of Business Intelligence Solutions in Banking Industry and Big Data Applications.Elaheh Radmehr & Mohammad Bazmara - 2017 - International Journal of Mechatronics, Electrical and Computer Technology 7 (23):3280-3298.
    Nowadays, the economic and social nature of contemporary business organizations chiefly banks binds them to face with the sheer volume of data and information and the key to commercial success in this area is the proper use of data for making better, faster and flawless decisions. To achieve this goal organizations requires strong and effective tools to enable them in automating task analysis, decision-making, strategy formulation and risk prediction to prevent bankruptcy and fraud .Business Intelligence is a set of (...)
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  25.  37
    Ethics and Artificial Intelligence.Mark Ryan - 2021 - In Encyclopedia of Business and Professional Ethics. pp. 1-5.
    A subdiscipline has emerged around AI ethics, which is comprised of a wide array of individuals: computer scientists, ethicists, cognitive scientists, roboticists, legal professionals, economists, sociologists, gender, and race theorists. This has led to a very interesting branch of research, addressing issues surrounding the development and use of AI. This chapter will give a very brief snapshot of some of the most pertinent ethical concerns. Many of the issues in the Big Data Ethics chapter in this collection are often applicable (...)
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  26. How to Interpret Collective Aggregated Judgments?María G. Navarro - 2013 - Social Epistemology Review and Reply Collective 2 (11):26-27.
    Our digital society increasingly relies in the power of others’ aggregated judgments to make decisions. Questions as diverse as which film we will watch, what scientific news we will decide to read, which path we will follow to find a place, or what political candidate we will vote for are usually associated to a rating that influences our final decisions.
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  27. Why Computers Are Not Intelligent: An Argument.Richard Oxenberg - 2017 - Political Animal Magazine.
    Computers can mimic human intelligence, sometimes quite impressively. This has led some to claim that, a.) computers can actually acquire intelligence, and/or, b.) the human mind may be thought of as a very sophisticated computer. In this paper I argue that neither of these inferences are sound. The human mind and computers, I argue, operate on radically different principles.
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  28.  15
    CAN ARTIFICIAL INTELLIGENCE THINK WITHOUT THE UNCONSCIOUS ?Derya Ölçener - 2020
    Today, humanity is trying to turn the artificial intelligence that it produces into natural intelligence. Although this effort is technologically exciting, it often raises ethical concerns. Therefore, the intellectual ability of artificial intelligence will always bring new questions. Although there have been significant developments in the consciousness of artificial intelligence, the issue of consciousness must be fully explained in order to complete this development. When consciousness is fully understood by human beings, the subject of “free will” (...)
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  29. Model for Human, Artificial & Collective Consciousness (Part I).Andy E. Williams - 2019 - Journal of Consciousness Exploration and Research 10 (4):1-20.
    Borrowing the functional modeling approach common in systems and software engineering, an implementable model of the functions of human consciousness proposed to have the capacity for general problem solving ability transferable to any domain, or true self-aware intelligence, is presented. Being a functional model that is independent of implementation, this model is proposed to also be applicable to artificial consciousness, and to platforms that organize individuals into what is defined here as a first order collective consciousness, or at (...)
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  30.  57
    Supergrading: How Diverse Standards Can Improve Collective Performance in Ranking Tasks.Michael Morreau - 2020 - Theory and Decision 88 (4):541-565.
    The method of supergrading is introduced for deriving a ranking of items from scores or grades awarded by several people. Individual inputs may come in different languages of grades. Diversity in grading standards is an advantage, enabling rankings derived by this method to separate more items from one another. A framework is introduced for studying grading on the basis of observations. Measures of accuracy, reliability and discrimination are developed within this framework. Ability in grading is characterized for individuals and groups (...)
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  31. Moses as Intelligent Designer.Enrique Morata - 2009 - internet archive.
    Moses deviced healthy laws to keep his people united as a nation. Moses is , alongside with Plato, Aristotle, Mahomet, Kung Fu, Lao Tse and Cicero, one of the "intelligent designers" of mankind in the last 5.000 years.
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  32. Komputer, Kecerdasan Buatan dan Internet: Filsafat Hubert L. Dreyfus tentang Produk Industri 3.0 dan Industri 4.0 (Computer, Artificial Intelligence and Internet: Dreyfus’s Philosophy on the Product of 3.0 and 4.0 Industries).Zainul Maarif - 2019 - Prosiding Paramadina Research Day.
    The content of this paper is an elaboration of Hubert L. Dreyfus’s philosophical critique of Artificial Intelligence (AI), computers and the internet. Hubert L. Dreyfus (1929-2017) is Ua SA philosopher and alumni of Harvard University who teach at the Massachusetts Institute of Technology (MIT) and University of California, Berkeley. He is a phenomenological philosopher who criticize computer researchers and the artificial intelligence community. In 1965, Dreyfus wrote an article for Rand Corporation titled “Alchemy and Artificial Intelligence” which (...)
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  33.  36
    Methodology for Semantic Enhancement of Intelligence Data.Barry Smith, Tatiana Malyuta & William Mandrick - 2013 - CUBRC Report.
    What follows is a contribution to the horizontal integration of warfighter intelligence data as defined in Chairman of the Joint Chiefs of Staff Instruction J2 CJCSI 3340.02AL: -/- Horizontally integrating warfighter intelligence data improves the consumers’ production, analysis and dissemination capabilities. HI requires access (including discovery, search, retrieval, and display) to intelligence data among the warfighters and other producers and consumers via standardized services and architectures. These consumers include, but are not limited to, the combatant commands, Services, (...)
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  34.  50
    Cognitive Heuristics for Commonsense Thinking and Reasoning in the Next Generation Artificial Intelligence.Antonio Lieto - 2021 - SRM ACM Student Chapters.
    Commonsense reasoning is one of the main open problems in the field of Artificial Intelligence (AI) while, on the other hand, seems to be a very intuitive and default reasoning mode in humans and other animals. In this talk, we discuss the different paradigms that have been developed in AI and Computational Cognitive Science to deal with this problem (ranging from logic-based methods, to diagrammatic-based ones). In particular, we discuss - via two different case studies concerning commonsense categorization and (...)
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  35. The Case for Government by Artificial Intelligence.Steven James Bartlett - 2016 - Willamette University Faculty Research Website: Http://Www.Willamette.Edu/~Sbartlet/Documents/Bartlett_The%20Case%20for%20Government%20by%20Artifici al%20Intelligence.Pdf.
    THE CASE FOR GOVERNMENT BY ARTIFICIAL INTELLIGENCE. Tired of election madness? The rhetoric of politicians? Their unreliable promises? And less than good government? -/- Until recently, it hasn’t been hard for people to give up control to computers. Not very many people miss the effort and time required to do calculations by hand, to keep track of their finances, or to complete their tax returns manually. But relinquishing direct human control to self-driving cars is expected to be more of (...)
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  36. The Blind Shadows of Narcissus - a Psychosocial Study on Collective Imaginary.Roberto Thomas Arruda (ed.) - 2020 - Terra à vista.
    In this work, we will approach some of the essential questions about the collective imaginary and their relations with reality and truth. We should face this subject in a conceptual framework, followed by the corresponding factual analysis of demonstrable behavioral realities. We will adopt not only the methodology, but mostly the tenets and propositions of the analytic philosophy, which for sure will be apparent throughout the study, and may be identified by the features described by Perez : Rabossi (1975) (...)
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  37.  59
    An Argument for the Impossibility of Machine Intelligence (Preprint).Jobst Landgrebe & Barry Smith - 2021 - Arxiv.
    Since the noun phrase `artificial intelligence' (AI) was coined, it has been debated whether humans are able to create intelligence using technology. We shed new light on this question from the point of view of themodynamics and mathematics. First, we define what it is to be an agent (device) that could be the bearer of AI. Then we show that the mainstream definitions of `intelligence' proposed by Hutter and others and still accepted by the AI community are (...)
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  38. Proprioception of Thinking and Emotional Intelligence Are Central to Doing Philosophy with Children.Maria daVenza Tillmanns - 2019
    Philosophy with children often focuses on abstract reasoning skills, but as David Bohm points out the “entire process of mind” consists of our abstract thought as well as our “tacit, concrete process of thought.” Philosophy with children should address the “entire process of mind.” Our tacit, concrete process of thought refers to the process of thought that involves our actions such as the process of thought that goes into riding a bicycle. Bohm contends that we need to develop an awareness (...)
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  39.  30
    Humans Have Nothing to Fear From Intelligent Machines.Luciano Floridi - 2016 - Financial Times.
    This article argues that no AI Godzilla will enslave us. We should focus on the real challenges.
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  40. Theory of Mind and Non-Human Intelligence.Brandon Tinklenberg - 2016 - Shakelford, T.K. And V.A.Weekes-Shakelford (Eds.) Encyclopedia of Evolutionary Psychological Science. Springer.
    Comparative cognition researchers have long been interested in the nature of nonhuman animal social capacities. One capacity has received prolonged attention: mindreading, or “theory of mind” as it’s also called, is often seen to be the ability to attribute mental states to others in the service of predicting and explaining behavior. This attention is garnered in no small measure from interest into what accounts for the distinctive features of human social cognition and what are the evolutionary origins of those features. (...)
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  41. Coordination Technology for Active Support Networks: Context, Needfinding, and Design.Stanley J. Rosenschein & Todd Davies - 2018 - AI and Society 33 (1):113-123.
    Coordination is a key problem for addressing goal–action gaps in many human endeavors. We define interpersonal coordination as a type of communicative action characterized by low interpersonal belief and goal conflict. Such situations are particularly well described as having collectively “intelligent”, “common good” solutions, viz., ones that almost everyone would agree constitute social improvements. Coordination is useful across the spectrum of interpersonal communication—from isolated individuals to organizational teams. Much attention has been paid to coordination in teams and organizations. In this (...)
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  42. Ontology and Cognitive Outcomes.David Limbaugh, Jobst Landgrebe, David Kasmier, Ronald Rudnicki, James Llinas & Barry Smith - 2020 - Journal of Knowledge Structures and Systems 1 (1): 3-22.
    The term ‘intelligence’ as used in this paper refers to items of knowledge collected for the sake of assessing and maintaining national security. The intelligence community (IC) of the United States (US) is a community of organizations that collaborate in collecting and processing intelligence for the US. The IC relies on human-machine-based analytic strategies that 1) access and integrate vast amounts of information from disparate sources, 2) continuously process this information, so that, 3) a maximally comprehensive understanding (...)
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  43.  56
    The Social in the Platform Trap: Why a Microscopic System Focus Limits the Prospect of Social Machines.Markus Luczak-Roesch & Ramine Tinati - 2017 - Discover Society 40.
    “Filter bubble”, “echo chambers”, “information diet” – the metaphors to describe today’s information dynamics on social media platforms are fairly diverse. People use them to describe the impact of the viral spread of fake, biased or purposeless content online, as witnessed during the recent race for the US presidency or the latest outbreak of the Ebola virus (in the latter case a tasteless racist meme was drowning out any meaningful content). This unravels the potential envisioned to arise from emergent activities (...)
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  44.  39
    Shared Decision‐Making and Maternity Care in the Deep Learning Age: Acknowledging and Overcoming Inherited Defeaters.Keith Begley, Cecily Begley & Valerie Smith - 2021 - Journal of Evaluation in Clinical Practice 27 (3):497–503.
    In recent years there has been an explosion of interest in Artificial Intelligence (AI) both in health care and academic philosophy. This has been due mainly to the rise of effective machine learning and deep learning algorithms, together with increases in data collection and processing power, which have made rapid progress in many areas. However, use of this technology has brought with it philosophical issues and practical problems, in particular, epistemic and ethical. In this paper the authors, with backgrounds (...)
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  45. Ontology-Based Fusion of Sensor Data and Natural Language.Erik Thomsen & Barry Smith - 2018 - Applied Ontology 13 (4):295-333.
    We describe a prototype ontology-driven information system (ODIS) that exploits what we call Portion of Reality (POR) representations. The system takes both sensor data and natural language text as inputs and composes on this basis logically structured POR assertions. The goal of our prototype is to represent both natural language and sensor data within a single framework that is able to support both axiomatic reasoning and computation. In addition, the framework should be capable of discovering and representing new kinds of (...)
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  46. Early Heidegger on Social Reality.Jo-Jo Koo - 2016 - In Alessandro Salice & Hans Bernhard Schmid (eds.), The Phenomenological Approach to Social Reality. Springer Verlag. pp. 91-119.
    This book chapter shows how the early Heidegger’s philosophy around the period of Being and Time can address some central questions of contemporary social ontology. After sketching “non-summative constructionism”, which is arguably the generic framework that underlies all forms of contemporary analytic social ontology, I lay out early Heidegger’s conception of human social reality in terms of an extended argument. The Heidegger that shows up in light of this treatment is an acute phenomenologist of human social existence who emphasizes our (...)
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  47.  46
    Ethics of Digital Well-Being: A Multidisciplinary Approach.Christopher Burr & Luciano Floridi (eds.) - 2020 - Springer.
    This chapter serves as an introduction to the edited collection of the same name, which includes chapters that explore digital well-being from a range of disciplinary perspectives, including philosophy, psychology, economics, health care, and education. The purpose of this introductory chapter is to provide a short primer on the different disciplinary approaches to the study of well-being. To supplement this primer, we also invited key experts from several disciplines—philosophy, psychology, public policy, and health care—to share their thoughts on what they (...)
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  48.  52
    Games 2.0 Jako Próba Konstrukcji Społeczno-Kulturowego Perpetuum Mobile.Andrzej Klimczuk - 2008 - Homo Communicativus 5:177--187.
    Increase in popularity of games like "Second Life" has contributed not only to significant changes in the development of the electronic entertainment industry. Promoting Games 2.0, the new trend of video game production that are assumed to be the virtual worlds that contain user-generated content makes both measured with a specific technological innovation, as well as a serious change in the organization of socio-cultural heritage. The article presents problems of the existing difficulties of terminology, the implications of the availability of (...)
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  49. Gaming the Attention Economy.Daniel Estrada & Jon Lawhead - 2013 - In Pietro Michelucci (ed.), The Handbook of Human Computation. Springer. pp. 961-978.
    The future of human computation benefits from examining tasks that agents already perform and designing environments to give those tasks computational significance. We call this natural human computation. We consider the possible future of NHC through the lens of Swarm!, an application under development for Google Glass. Swarm! motivates users to compute the solutions to a class of economic optimization problems by engaging the attention dynamics of crowds. We argue that anticipating and managing economies of attention provides one of the (...)
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  50.  9
    Verso L’Estetica Del Luogo: Per Una Monadologia Polifonica.Masaru Yoneyama - 2016 - European Journal of Japanese Philosophy 1:203-217.
    This paper aims to develop Nishida Kitarō’s “logic of place” into an “aesthetics of place.” While brilliantly fusing the Buddhist traditions of Japan with Western philosophy, in his later years, Nishida came up with his own unique philosophy, a “monadology with the concept of substance.” This is a concept anchored in mu or “emptiness.” From this standpoint, how is the individual understood and how does society take shape? The answers to these questions are fundamental keys to understanding Japanese philosophy. In (...)
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