Results for 'collective intelligence'

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  1. è «WÜv'SV fr28ÀHf VcaÞwH¥ ef Vr@ Ûsc'tVÛ£ rséVefSVF'æ² éV fcTÛsrsHfH! c'ÝD Ûsc'tVHPe fS ÛsefWÜt vd F'v'rstTefHRç.Collecting Dialogs - 2001 - In P. Bouquet (ed.), Lecture Notes in Artificial Intelligence. Kluwer Academic Publishers. pp. 2182--20.
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  2.  46
    Hybrid collective intelligence in a human–AI society.Marieke M. M. Peeters, Jurriaan van Diggelen, Karel van den Bosch, Adelbert Bronkhorst, Mark A. Neerincx, Jan Maarten Schraagen & Stephan Raaijmakers - 2021 - AI and Society 36 (1):217-238.
    Within current debates about the future impact of Artificial Intelligence on human society, roughly three different perspectives can be recognised: the technology-centric perspective, claiming that AI will soon outperform humankind in all areas, and that the primary threat for humankind is superintelligence; the human-centric perspective, claiming that humans will always remain superior to AI when it comes to social and societal aspects, and that the main threat of AI is that humankind’s social nature is overlooked in technological designs; and (...)
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  3.  8
    Collective intelligence approaches in interactive evolutionary multi-objective optimization.Daniel Cinalli, Luis Martí, Nayat Sanchez-Pi & Ana Cristina Bicharra Garcia - 2020 - Logic Journal of the IGPL 28 (1):95-108.
    Evolutionary multi-objective optimization algorithms have been successfully applied in many real-life problems. EMOAs approximate the set of trade-offs between multiple conflicting objectives, known as the Pareto optimal set. Reference point approaches can alleviate the optimization process by highlighting relevant areas of the Pareto set and support the decision makers to take the more confident evaluation. One important drawback of this approaches is that they require an in-depth knowledge of the problem being solved in order to function correctly. Collective (...) has been put forward as an alternative to deal with situations like these. This paper extends some well-known EMOAs to incorporate collective preferences and interactive techniques. Similarly, two new preference-based multi-objective optimization performance indicators are introduced in order to analyze the results produced by the proposed algorithms in the comparative experiments carried out. (shrink)
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  4.  65
    True Collective Intelligence? A Sketch of a Possible New Field.Geoff Mulgan - 2014 - Philosophy and Technology 27 (1):133-142.
    Collective intelligence is much talked about but remains very underdeveloped as a field. There are small pockets in computer science and psychology and fragments in other fields, ranging from economics to biology. New networks and social media also provide a rich source of emerging evidence. However, there are surprisingly few useable theories, and many of the fashionable claims have not stood up to scrutiny. The field of analysis should be how intelligence is organised at large scale—in organisations, (...)
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  5.  51
    Collective Intelligence of the Artificial Life Community on Its Own Successes, Failures, and Future.Steen Rasmussen, Michael J. Raven, Gordon N. Keating & Mark A. Bedau - 2003 - Artificial Life 9:207-235.
    We describe a novel Internet-based method for building consensus and clarifying con icts in large stakeholder groups facing complex issues, and we use the method to survey and map the scienti c and organizational perspectives of the arti cial life community during the Seventh International Conference on Arti cial Life (summer 2000). The issues addressed in this survey included arti cial life’s main successes, main failures, main open scienti c questions, and main strategies for the future, as well as the (...)
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  6.  15
    Collective Intelligence, the Future of Internet and the IEML.Massimo Lollini, Arthur Farley & Pierre Levy - 2019 - Humanist Studies and the Digital Age 6 (1):5-31.
    Collective Intelligence, the book in French, that Pierre Levy wrote before the existence of the worldwide web, when only the Internet existed, it's a philosophical vision of the future, a philosophical vision of what could be a global civilization based on the digital and the general interconnection of all the computers. In the interview, Levy addresses the creation o the WWW by Tim Berners Lee as a form of collective intelligence. He then discusses Berners Lee's proposal (...)
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  7.  10
    Collective intelligence in teams: Contextualizing collective intelligent behavior over time.Margo Janssens, Nicoleta Meslec & Roger Th A. J. Leenders - 2022 - Frontiers in Psychology 13.
    Collective intelligence in organizational teams has been predominantly understood and explained in terms of the quality of the outcomes that the team produces. This manuscript aims to extend the understanding of CI in teams, by disentangling the core of actual collective intelligent team behavior that unfolds over time during a collaboration period. We posit that outcomes do support the presence of CI, but that collective intelligence itself resides in the interaction processes within the team. Teams (...)
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  8. Democratic Reason: Politics, Collective Intelligence, and the Rule of the Many.Hélène Landemore (ed.) - 2012 - Princeton University Press.
    The maze and the masses -- Democracy as the rule of the dumb many? -- A selective genealogy of the epistemic argument for democracy -- First mechanism of democratic reason: inclusive deliberation -- Epistemic failures of deliberation -- Second mechanism of democratic reason: majority rule.
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  9.  32
    Social Capital, Collective Intelligence and Expansive Learning: Thinking through the Connections. Education and the Economy.James Avis - 2002 - British Journal of Educational Studies 50 (3):308 - 326.
    The paper seeks to draw out the connections between social capital, collective intelligence and expansive learning, interrogating the terms for their progressive potential. It sets these concepts within their socio-economic context, one which asserts that the development of social capital will be a vehicle for economic regeneration and competitiveness as well as a mechanism for the generation of social inclusion and cohesion. It concludes by arguing that the debate is set within a context that accepts capitalist relations and (...)
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  10.  19
    Collective Intelligence for Educators.Pierre Levy - 2015 - Educational Philosophy and Theory 47 (8):749-754.
  11.  13
    Crowdlaw: Collective Intelligence and Lawmaking.Beth Simone Noveck - 2018 - Analyse & Kritik 40 (2):359-380.
    To tackle the fast-moving challenges of our age, law and policymaking must become more flexible, evolutionary and agile. Thus, in this Essay we examine ‘crowdlaw’, namely how city councils at the local level and parliaments at the regional and national level are turning to technology to engage with citizens at every stage of the lawand policymaking process. Aswe hope to demonstrate, crowdlaw holds the promise of improving the quality and effectiveness of outcomes by enabling policymakers to interact with a broader (...)
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  12.  23
    Collective intelligence for the common good: cultivating the seeds for an intentional collaborative enterprise.Douglas Schuler, Anna De Liddo, Justin Smith & Fiorella De Cindio - 2018 - AI and Society 33 (1):1-13.
  13.  85
    Collective intelligence for promoting changes in behaviour: a case study on energy conservation.Lara S. G. Piccolo, Anna De Liddo, Gregoire Burel, Miriam Fernandez & Harith Alani - 2018 - AI and Society 33 (1):15-25.
  14.  9
    Philosophy 2.0: Applying Collective Intelligence Systems and Iterative Degrees of Scientific Validation.Kyrtin Atreides - 2022 - Filozofia i Nauka 10:49-70.
    Methods of improving the state and rate of progress within the domain of philosophy using collective intelligence systems are considered. By applying mASI systems superintelligence, debiasing, and humanity’s current sum of knowledge may be applied to this domain in novel ways. Such systems may also serve to strongly facilitate new forms and degrees of cooperation and understanding between different philosophies and cultures. The integration of these philosophies directly into their own machine intelligence seeds as cornerstones could further (...)
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  15.  11
    Philosophy 2.0: Applying Collective Intelligence Systems and Iterative Degrees of Scientific Validation.Kyrtin Atreides - 2022 - Filozofia i Nauka. Studia Filozoficzne I Interdyscyplinarne 10:49-70.
    Methods of improving the state and rate of progress within the domain of philosophy using collective intelligence systems are considered. By applying mASI systems superintelligence, debiasing, and humanity’s current sum of knowledge may be applied to this domain in novel ways. Such systems may also serve to strongly facilitate new forms and degrees of cooperation and understanding between different philosophies and cultures. The integration of these philosophies directly into their own machine intelligence seeds as cornerstones could further (...)
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  16.  9
    The Routledge handbook of collective intelligence for democracy and governance.Stephen Boucher, Carina Antonia Hallin & Lex Paulson (eds.) - 2023 - New York: Routledge.
    The Routledge Handbook of Collective Intelligence for Democracy and Governance explores the concepts, methodologies, and implications of collective intelligence for democratic governance, in the first comprehensive survey of this field. Illustrated by a collection of inspiring case studies and edited by three pioneers in collective intelligence, this handbook serves as a unique primer on the science of collective intelligence applied to public challenges and will inspire public actors, academics, students, and activists across (...)
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  17. Collective intelligence: Observations and models.W. Sulis - 2009 - In Stephen J. Guastello, Matthijs Koopmans & David Pincus (eds.), Chaos and complexity in psychology: the theory of nonlinear dynamical systems. New York: Cambridge University Press. pp. 41--66.
     
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  18.  7
    Evolutionary emergence of collective intelligence in large groups of students.Santos Orejudo, Jacobo Cano-Escoriaza, Ana Belén Cebollero-Salinas, Pablo Bautista, Jesús Clemente-Gallardo, Alejandro Rivero, Pilar Rivero & Alfonso Tarancón - 2022 - Frontiers in Psychology 13.
    The emergence of collective intelligence has been studied in much greater detail in small groups than in larger ones. Nevertheless, in groups of several hundreds or thousands of members, it is well-known that the social environment exerts a considerable influence on individual behavior. A few recent papers have dealt with some aspects of large group situations, but have not provided an in-depth analysis of the role of interactions among the members of a group in the creation of ideas, (...)
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  19.  35
    Community Digital Storytelling for Collective Intelligence: towards a Storytelling Cycle of Trust.Sarah Copeland & Aldo de Moor - 2018 - AI and Society 33 (1):101-111.
    Digital storytelling has become a popular method for curating community, organisational, and individual narratives. Since its beginnings over 20 years ago, projects have sprung up across the globe, where authentic voice is found in the narration of lived experiences. Contributing to a Collective Intelligence for the Common Good, the authors of this paper ask how shared stories can bring impetus to community groups to help identify what they seek to change, and how digital storytelling can be effectively implemented (...)
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  20.  34
    Noosphere rising: Internet-based collective intelligence, creative labour, and social production.Michael A. Peters & James Reveley - 2015 - Thesis Eleven 130 (1):3-21.
    Our article relocates the debate about creative labour to the terrain of peer-to-peer interneting as the paradigmatic form of nonmarket – social – production. From Yann Moulier Boutang we take the point that creative labour is immaterial; it is expressed through people connected by the internet. Drawing on two social systems thinkers, Francis Heylighen and Wolfgang Hofkirchner, we transpose this connectedness up to a conception of creative labour as a supra-individual collective intelligence. This intelligence, we argue, is (...)
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  21.  66
    Was there collective intelligence before life on earth? Considerations on the formal foundations of intelligence, life, and evolution.Tadeusz Szuba - 2002 - World Futures 58 (1):61 – 80.
    Collective Intelligence (CI) can be formalized as a specific1 computational process through the use of a molecular model of computations and mathematical logic, in terms of interacting information_molecules, which are chaotically or quasi-chaotically displacing and running natural-based inference processes in their own environment. The formal definition of Collective Intelligence as a property of a social structure of beings of any nature is surprisingly short and abstract (which is astonishing) from definitions of Life. The formal definition of (...)
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  22.  2
    The return of collective intelligence: ancient wisdom for a world out of balance.Dery Dyer - 2020 - Rochester, Vermont: Bear & Company.
    Reveals how we can each reconnect to collective intelligence and return our world to wholeness, balance, and sanity • Explains how collective intelligence manifests in flocks of birds, instantaneous knowing in indigenous peoples, and the power of sacred places • Offers ways for us to reconnect to the infinite source of wisdom that fuels collective intelligence and underscores the importance of ceremony, pilgrimage, and initiation • Draws on recent findings in New Paradigm science, traditional (...)
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  23.  32
    Peer production and collective intelligence as the basis for the public digital university.Michael A. Peters & Petar Jandrić - 2018 - Educational Philosophy and Theory 50 (13):1271-1284.
    This paper reviews two main historical approaches to creativity: the Romanticist approach, based on the culture of the irrational, and the Enlightenment approach, based on the culture of the objective. It defends a paradigm of creativity as a sum of rich semiotic systems that form the basis of distributed knowledge and learning, reviews historical ideas of the university, and identifies two conflicting mainstream models in regards to understanding of the university as a public good: the ‘Public’ University circa 1960–1980, and (...)
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  24. 1.3 Collective Intelligence and Business Enterprise 2.0.Florence Devouard - forthcoming - Common Knowledge: The Challenge of Transdisciplinarity.
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  25.  15
    Understanding the Nature of Oneness Experience in Meditators Using Collective Intelligence Methods.Eric Van Lente & Michael J. Hogan - 2020 - Frontiers in Psychology 11.
    Research on meditation and mindfulness practice has flourished in recent years. While much of this research has focused on well-being outcomes associated with mindfulness practice, less research has focused on how perception of self may change as a result of mindfulness practice, or whether these changes in self-perception may be mechanisms of mindfulness in action. This is somewhat surprising given that mindfulness derives from traditions often described as guiding people to realise and experience the non-separation of self from the world (...)
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  26.  27
    Design for collective intelligence: pop-up communities in MOOCs.Muriel Garreta-Domingo, Peter B. Sloep, Davinia Hérnandez-Leo & Yishay Mor - 2018 - AI and Society 33 (1):91-100.
  27.  6
    Global Solidarity and Collective Intelligence in Times of Pandemics.José Luis Martí - 2021 - Netherlands Journal of Legal Philosophy 50 (2):281-297.
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  28.  46
    Algorithmic governance: Developing a research agenda through the power of collective intelligence.Kalpana Shankar, Burkhard Schafer, Niall O'Brolchain, Maria Helen Murphy, John Morison, Su-Ming Khoo, Muki Haklay, Heike Felzmann, Aisling De Paor, Anthony Behan, Rónán Kennedy, Chris Noone, Michael J. Hogan & John Danaher - 2017 - Big Data and Society 4 (2).
    We are living in an algorithmic age where mathematics and computer science are coming together in powerful new ways to influence, shape and guide our behaviour and the governance of our societies. As these algorithmic governance structures proliferate, it is vital that we ensure their effectiveness and legitimacy. That is, we need to ensure that they are an effective means for achieving a legitimate policy goal that are also procedurally fair, open and unbiased. But how can we ensure that algorithmic (...)
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  29.  29
    Rat running the G20: collective intelligence for navigating the disrupted city.Carlos Estrada-Grajales, Peta Mitchell, Marcus Foth & Christine Satchell - 2018 - AI and Society 33 (1):133-146.
  30.  22
    Democratic Reason: Politics, collective intelligence and the rule of the many.Alfred Moore - 2014 - Contemporary Political Theory 13 (2):e12-e15.
  31.  29
    Artificial intelligence and collective intelligence: the emergence of a new field.Geoff Mulgan - 2018 - AI and Society 33 (4):631-632.
  32.  11
    Philosophy of the Web: Representation, Enaction, Collective Intelligence.Harry Halpin, Andy Clark & Michael Wheeler - 2013-12-13 - In Harry Halpin & Alexandre Monnin (eds.), Philosophical Engineering. Wiley. pp. 21–30.
    This chapter contains sections titled: Is Philosophy Part of Web Science?; Representations and the Web; Enactive Search; Cognitive Extension and Cognitive Intelligence; From the Extended Mind to the Web; and the Web as Collective Intelligence.
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  33.  50
    The Rules of Information Aggregation and Emergence of Collective Intelligent Behavior.Luís M. A. Bettencourt - 2009 - Topics in Cognitive Science 1 (4):598-620.
    Information is a peculiar quantity. Unlike matter and energy, which are conserved by the laws of physics, the aggregation of knowledge from many sources can in fact produce more information (synergy) or less (redundancy) than the sum of its parts. This feature can endow groups with problem‐solving strategies that are superior to those possible among noninteracting individuals and, in turn, may provide a selection drive toward collective cooperation and coordination. Here we explore the formal properties of information aggregation as (...)
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  34.  30
    Matching cognitively sympathetic individual styles to develop collective intelligence in digital communities.Salim Chujfi & Christoph Meinel - 2020 - AI and Society 35 (1):5-15.
    Creation, collection and retention of knowledge in digital communities is an activity that currently requires being explicitly targeted as a secure method of keeping intellectual capital growing in the digital era. In particular, we consider it relevant to analyze and evaluate the empathetic cognitive personalities and behaviors that individuals now have with the change from face-to-face communication to computer-mediated communication online. This document proposes a cyber-humanistic approach to enhance the traditional SECI knowledge management model. A cognitive perception is added to (...)
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  35.  8
    Stream: social data and knowledge collective intelligence platform for TRaining Ethical AI Models.Yuwei Wang, Enmeng Lu, Zizhe Ruan, Yao Liang & Yi Zeng - forthcoming - AI and Society:1-9.
    This paper presents social data and knowledge collective intelligence platform for TRaining Ethical AI Models (STREAM) to address the challenge of aligning AI models with human moral values, and to provide ethics datasets and knowledge bases to help promote AI models “follow good advice as naturally as a stream follows its course”. By creating a comprehensive and representative platform that accurately mirrors the moral judgments of diverse groups including humans and AIs, we hope to effectively portray cultural and (...)
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  36. 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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  37.  26
    Society semantics and the logic way to collective intelligence.Walter Carnielli & Mamede Lima-Marques - 2017 - Journal of Applied Non-Classical Logics 27 (3-4):255-268.
    The so-called phenomenon of collective intelligence is now a burgeoning movement, with several guises and examples in many areas. We briefly survey some relevant aspects of collective intelligence in several formats, such as social software, crowdfunding and convergence, and show that a formal version of this paradigm can also be posed to logic systems, by employing the notion of logic societies. The paradigm of logical societies has lead to a new notion of distributed semantics, the society (...)
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  38.  21
    A Simple Computational Theory of General Collective Intelligence.Peter M. Krafft - 2019 - Topics in Cognitive Science 11 (2):374-392.
    What are the conditions under which groups of agents will perform well across multiple tasks? The author establishes a set of “alignment conditions” that enforce identity of beliefs and desires across agents. These conditions are necessary and sufficient for ensuring that a multiagent system behaves as if controlled by a rational centralized controller. Several widely observed social phenomena can be understood as facilitating the alignment conditions.
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  39.  22
    Are wicked problems a lack of general collective intelligence?Andy E. Williams - 2023 - AI and Society 38 (1):343-348.
    A recently developed model of general collective intelligence defines a method for organizing humans or artificially intelligent agents that is believed to create the potential to exponentially increase the general problem-solving ability of groups of such entities over that of any individual entity. An analysis based on this model suggests that many and perhaps all “wicked problems” are collective optimization problems that cannot reliably be addressed without a system of collective optimization, but that might be reliably (...)
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  40.  21
    Creativity and design to articulate difference in the conflicted city: collective intelligence in Bogota’s grassroots organisations.Leonardo Parra-Agudelo, Jaz Hee-Jeong Choi, Marcus Foth & Carlos Estrada - 2018 - AI and Society 33 (1):147-158.
    This paper presents a critical reflection on insights into the ongoing endeavours for community engagement by Ayara and MAL; two urban grassroot organisations in Bogota, Colombia, where a long history of internal conflicts has resulted in diverse human right violations. The paper presents examples of the grassroots organisations’ unique methods of engagement that promotes building collective intelligence from the bottom–up through creative collaboration and design processes, leading to rebuilding social fabrics that support the common good for the people (...)
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  41.  13
    Are wicked problems a lack of general collective intelligence?Andy E. Williams - 2021 - AI and Society:1-6.
    A recently developed model of general collective intelligence defines a method for organizing humans or artificially intelligent agents that is believed to create the potential to exponentially increase the general problem-solving ability of groups of such entities over that of any individual entity. An analysis based on this model suggests that many and perhaps all “wicked problems” are collective optimization problems that cannot reliably be addressed without a system of collective optimization, but that might be reliably (...)
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  42.  22
    Community Media 4 Kenya: a partnership approach to building collective intelligence.Peter Day - 2018 - AI and Society 33 (1):81-89.
  43.  23
    Knowledge socialism: the rise of peer production - collegiality, collaboration, and collective intelligence.Michael A. Peters - 2019 - Educational Philosophy and Theory 53 (1):1-9.
    The terms ‘knowledge economy’ and ‘knowledge capitalism’ have been used with increasing frequency since the 1990s as a way of describing the latest phase of capitalism in in the process of global r...
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  44.  21
    Developing a Utopian Model of Human-Technology Interaction: Collective Intelligence Applications in Support of Future Well-Being.Nathan N. Soch, Michael Hogan, Owen Harney, Michelle Hanlon, Catherine Brady & Liam McGrattan - 2022 - Utopian Studies 33 (1):54-75.
    ABSTRACT Human-technology interactions are omnipresent in daily life, a reality that must be faced to enact positive change without uprooting the technological systems that have come to define us. The present study develops a collective intelligence model for human-technology interaction design that aims to promote peace, prosperity, and happiness through design intentionality informed by utopian targets of radical improvement in society. Participants generated ideas, clarified and consolidated them, and then developed an interpretive structure model of the most important (...)
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  45.  25
    The Method of Democracy: John Dewey's Theory of Collective Intelligence by David Ridley.Veli-Mikko Kauppi - 2021 - Transactions of the Charles S. Peirce Society 57 (2):295-298.
    John Dewey's writings on social intelligence, collective intelligence and the intelligence of the public have gained renascent attention, especially within democratic theory and democratic education. It has been proposed that pragmatism in general and Dewey in particular, offer an alternative model for democratic participation. This model shares many of the goals of deliberative democratic theory or critical theory, but is proposed to be capable of dodging some of the problems often affiliated with them—such as the powerlessness (...)
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  46.  25
    Bigger data, less wisdom: the need for more inclusive collective intelligence in social service provision.Alexander Fink - 2018 - AI and Society 33 (1):61-70.
    Social service organizations have long used data in their efforts to support people in need for the purposes of advocacy, tracking, and intervention. Increasingly, such organizations are joining forces to provide wrap-around services to clients in order to “move the needle” on intractable social problems. Groups using these strategies, called Collective Impact, develop shared metrics to guide their work, sharing data, finances, infrastructure, and services. A major emphasis of these efforts is on tracking clients and measuring impacts. This study (...)
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  47. Towards a Formal Framework for Describing Collective Intelligence Knowledge Creation Processes that "use-the-future".Ikka Tuomi Andrée Ehresmann, Mathias Béjean Riel Miller & J. -P. Vanbremeersch - 2018 - In Riel Miller (ed.), Transforming the future: anticipation in the 21st century. New York, NY: Routledge.
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  48.  24
    DoGood: examining gamification, civic engagement, and collective intelligence.Sebastian Rehm, Marcus Foth & Peta Mitchell - 2018 - AI and Society 33 (1):27-37.
    The mobile internet provides new and easier ways for people to organise themselves, raise issues, take action, and interact with their city. However, lack of information or motivation often prevents citizens from regularly contributing to the common good. In this paper, we present DoGood, a mobile app that aims at motivating citizens to join civic activities in their local community. Our study asks to what extent gamification can motivate users to participate in civic activities. The term civic activity is not (...)
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  49. Collective challenges for the realisation of a collective intelligence.María G. Navarro - 2011 - Analytic Teaching and Philosophical Praxis 32 (1):40-47.
    Understanding Information and Communication Technologies through the networks in which people get con¬nected, communicate and co-operate has been a constant feature in the work of researchers who have not dissociated their view of the meaning of technologies from new social movements. This paper maintains that Information and Communication Technologies are not only networks that people join individually, but they also act as social technologies. Their improvement depends both on the diversity of their functions (social, political, cognitive, etc.) and the flexibility (...)
     
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  50.  21
    Immersive Technology for Human-Centric Cyberphysical Systems in Complex Manufacturing Processes: A Comprehensive Overview of the Global Patent Profile Using Collective Intelligence.Usharani Hareesh Govindarajan, Amy J. C. Trappey & Charles V. Trappey - 2018 - Complexity 2018:1-17.
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