2,075 research outputs found
Análisis predictivo y protencionalidad digital: sobre predicción y anticipación algorítmicas
¿Qué implica decir que los algoritmos pueden predecir lo que va acontecer y anticipar nuestros comportamientos? En el siguiente artículo se analizarán los fenómenos de predicción algorítmica y anticipación conductual y se mostrará cómo es que convergen en las técnicas contemporáneas de análisis predictivo. En primer lugar, se abordarán algunas de las ideas erróneas sobre las facultades predictivas de los sistemas algorítmicos mediante una breve incursión en la teoría de la probabilidad. En segundo lugar, se presentará la teorización posfenomenológica sobre la gubernamentalidad algorítmica desarrollada por Bernard Stiegler como un modelo adecuado para entender la capacidad que tienen estos sistemas para la anticipación conductual. Por último, se expondrá la lectura whiteheadiana que Mark Hansen hace de analítica predictiva, en la cual nos ofrece una manera de pensar el trasfondo ontológico que yace detrás del poder de estos sistemas algorítmicos y los límites epistemológicos de los mismos. Además de subrayar el carácter novedoso de este planteamiento, en la conclusión se argumentará que también nos presenta con nuevas herramientas para extender el proyecto farmacológico de Stiegler, presentando la posibilidad de pensar maneras en las cuales la predicción algorítmica pudiera ser implementada hacia resultados positivos.What do we mean when we say that algorithms are capable of predicting what is going to happen and anticipating our actions? In the following article I will analyse the phenomena of algorithmic prediction and behavioural anticipation, explaining their convergence in contemporary techniques of predictive analytics. First, I will deal with some possible misconceptions about the predictive capacities of algorithms by delving into probability theory. Secondly, I will take Bernard Stiegler’s post-phenomenological theory of algorithmic governmentality as a model to explain their capacity for behavioural anticipation. Lastly, I will present Mark Hansen’s Whiteheadian reading of predictive analytics, in which he provides a way to understand the ontological basis of the power of these algorithmic systems and also highlight their epistemological limits. Besides the theoretical purposiveness of this account, in the conclusion I will argue that this also provides us with new tools to extend Stielger’s pharmacological project further, opening up the possibility of thinking about ways in which algorithmic prediction could be implemented towards positive outcomes
Complex Terrain
This edited volume, composed by military professionals in the Gray Scholars Program at Marine Corps University, describes the changing character of urban operations. The pattern of human settlement and interaction is changing and the future is urban. Because the majority of the world’s population lives within cities, the future of strategic competition and conflict reside there as well. The density and connectivity of urban environments create a new type of complex terrain. Interests change from neighborhood to neighborhood, often intersecting global, political, and economic networks. Each city block sees shifting allegiances that often seem unclear from the outside. The cityscape compresses time and space while increasing uncertainty and complicating the conduct of military operations
Factors shaping the evolution of electronic documentation systems
The main goal is to prepare the space station technical and managerial structure for likely changes in the creation, capture, transfer, and utilization of knowledge. By anticipating advances, the design of Space Station Project (SSP) information systems can be tailored to facilitate a progression of increasingly sophisticated strategies as the space station evolves. Future generations of advanced information systems will use increases in power to deliver environmentally meaningful, contextually targeted, interconnected data (knowledge). The concept of a Knowledge Base Management System is emerging when the problem is focused on how information systems can perform such a conversion of raw data. Such a system would include traditional management functions for large space databases. Added artificial intelligence features might encompass co-existing knowledge representation schemes; effective control structures for deductive, plausible, and inductive reasoning; means for knowledge acquisition, refinement, and validation; explanation facilities; and dynamic human intervention. The major areas covered include: alternative knowledge representation approaches; advanced user interface capabilities; computer-supported cooperative work; the evolution of information system hardware; standardization, compatibility, and connectivity; and organizational impacts of information intensive environments
Collective intelligence: creating a prosperous world at peace
XXXII, 612 p. ; 24 cmLibro ElectrónicoEn este documento se plantea un tema de interes general mas como lo es especificamente el tema de la evolucion de la sociedad en materia de industria y crecimiento de las actividades humanas en el aspecto de desarrollo de la creatividad enfocada a los mercadosedited by Mark Tovey ; foreword by Yochai Benkler (re-mixed by Hassan Masum) ; prefaces by Thomas Malone, Tom Atlee & Pierre Levy ; afterword by Paul Martin & Thomas Homer-Dixon.The era of collective intelligence has begun in earnest. While others have written about the wisdom of crowds, an army of Davids, and smart mobs, this collection of essays for the first time brings together fifty-five pioneers in the emerging discipline of collective intelligence. They provide a base of tools for connecting people, producing high-functioning teams, collaborating at multiple scales, and encouraging effective peer-production. Emerging models are explored for digital deliberative democracy, self-governance, legislative transparency, true-cost accounting, and the ethical use of open sources and methods. Collective Intelligence is the first of a series of six books, which will also include volumes on Peace Intelligence, Commercial Intelligence, Gift Intelligence, Cultural Intelligence, and Global Intelligence.Table of Contents
Dedication i
Publisher’s Preface iii
Foreword by Yochai Benkler Remix Hassan Masum xi
The Wealth of Networks: Highlights remixed
Editor’s Preface xxi
Table of Contents xxv
A What is collective intelligence and what will we do 1
about it? (Thomas W. Malone, MIT Center for
Collective Intelligence)
B Co-Intelligence, collective intelligence, and conscious 5
evolution (Tom Atlee, Co-Intelligence Institute)
C A metalanguage for computer augmented collective 15
intelligence (Prof. Pierre Lévy, Canada Research
Chair in Collective Intelligence, FRSC)
I INDIVIDUALS & GROUPS I-01 Foresight I-01-01 Safety Glass (Karl Schroeder, science fiction author 23
and foresight consultant)
I-01-02 2007 State of the Future (Jerome C. Glenn & 29
Theodore J. Gordon, United Nations Millennium
Project)
I-02 Dialogue & Deliberation I-02-01 Thinking together without ego: Collective intelligence 39
as an evolutionary catalyst (Craig Hamilton and Claire
Zammit, Collective-Intelligence.US)
I-02-02 The World Café: Awakening collective intelligence 47
and committed action (Juanita Brown, David Isaacs
and the World Café Community)
I-02-03 Collective intelligence and the emergence of 55
wholeness (Peggy Holman, Nexus for Change, The
Change Handbook)
I-02-04 Knowledge creation in collective intelligence (Bruce 65
LaDuke, Fortune 500, HyperAdvance.com)
I-02-05 The Circle Organization: Structuring for collective 75
wisdom (Jim Rough, Dynamic Facilitation & The
Center for Wise Democracy)
I-03 Civic Intelligence I-03-01 Civic intelligence and the public sphere (Douglas 83
Schuler, Evergreen State College, Public Sphere
Project)
I-03-02 Civic intelligence and the security of the homeland 95
(John Kesler with Carole and David Schwinn,
IngeniusOnline)
I-03-03 Creating a Smart Nation (Robert Steele, OSS.Net) 107
I-03-04 University 2.0: Informing our collective intelligence 131
(Nancy Glock-Grueneich, HIGHEREdge.org)
I-03-05 Producing communities of communications and 145
foreknowledge (Jason “JZ” Liszkiewicz,
Reconfigure.org)
I-03-06 Global Vitality Report 2025: Learning to transform I-04 Electronic Communities & Distributed Cognition I-04-01 Attentional capital and the ecology of online social 163
conflict and think together effectively (Peter+Trudy networks (Derek Lomas, Social Movement Lab,
Johnson-Lenz, Johnson-Lenz.com ) UCSD)
I-04-02 A slice of life in my virtual community (Howard 173
Rheingold, Whole Earth Review, Author & Educator)
I-04-03 Shared imagination (Dr. Douglas C. Engelbart, 197
Bootstrap)
I-05 Privacy & Openness I-05-01 We’re all swimming in media: End-users must be able 201
to keep secrets (Mitch Ratcliffe, BuzzLogic &
Tetriad)
I-05-02 Working openly (Lion Kimbro, Programmer and 205
Activist)
I-06 Integral Approaches & Global Contexts I-06-01 Meta-intelligence for analyses, decisions, policy, and 213
action: The Integral Process for working on complex
issues (Sara Nora Ross, Ph.D. ARINA & Integral
Review)
I-06-02 Collective intelligence: From pyramidal to global 225
(Jean-Francois Noubel, The Transitioner)
I-06-03 Cultivating collective intelligence: A core leadership 235
competence in a complex world (George Pór, Fellow
at Universiteit van Amsterdam)
II LARGE-SCALE COLLABORATION II-01 Altruism, Group IQ, and Adaptation II-01-01 Empowering individuals towards collective online 245
production (Keith Hopper, KeithHopper.com)
II-01-02 Who’s smarter: chimps, baboons or bacteria? The 251
power of Group IQ (Howard Bloom, author)
II-01-03 A collectively generated model of the world (Marko 261
A. Rodriguez, Los Alamos National Laboratory)
II-02 Crowd Wisdom and Cognitive Bias II-02-01 Science of CI: Resources for change (Norman L 265
Johnson, Chief Scientist at Referentia Systems, former
LANL)
II-02-02 Collectively intelligent systems (Jennifer H. Watkins, 275
Los Alamos National Laboratory)
II-02-03 A contrarian view (Jaron Lanier, scholar-in-residence, 279
CET, UC Berkeley & Discover Magazine)
II-03 Semantic Structures & The Semantic Web II-03-01 Information Economy Meta Language (Interview with 283
Professor Pierre Lévy, by George Pór)
II-03-02 Harnessing the collective intelligence of the World- 293
Wide Web (Nova Spivack, RadarNetworks, Web 3.0)
II-03-03 The emergence of a global brain (Francis Heylighen, 305
Free University of Brussels)
II-04 Information Networks II-04-01 Networking and mobilizing collective intelligence (G.
Parker Rossman, Future of Learning Pioneer)
II-04-02 Toward high-performance organizations: A strategic 333
role for Groupware (Douglas C. Engelbart, Bootstrap)
II-04-03 Search panacea or ploy: Can collective intelligence 375
improve findability? (Stephen E. Arnold, Arnold IT,
Inc.)
II-05 Global Games, Local Economies, & WISER II-05-01 World Brain as EarthGame (Robert Steele and many 389
others, Earth Intelligence Network)
II-05-02 The Interra Project (Jon Ramer and many others) 399
II-05-03 From corporate responsibility to Backstory 409
Management (Alex Steffen, Executive Editor,
Worldchanging.com)
II-05-04 World Index of Environmental & Social 413
Responsibility (WISER)
By the Natural Capital Institute
II-06 Peer-Production & Open Source Hardware II-06-01 The Makers’ Bill of Rights (Jalopy, Torrone, and Hill) 421
II-06-02 3D Printing and open source design (James Duncan, 423
VP of Technology at Marketingisland)
II-06-03 REBEARTHTM: 425
II-07 Free Wireless, Open Spectrum, and Peer-to-Peer II-07-01 Montréal Community Wi-Fi (Île Sans Fil) (Interview 433
with Michael Lenczner by Mark Tovey)
II-07-02 The power of the peer-to-peer future (Jock Gill, 441
Founder, Penfield Gill Inc.)
Growing a world 6.6 billion people
would want to live in (Marc Stamos, B-Comm, LL.B)
II-07-03 Open spectrum (David Weinberger)
II-08 Mass Collaboration & Large-Scale Argumentation II-08-01 Mass collaboration, open source, and social 455
entrepreneurship (Mark Tovey, Advanced Cognitive
Engineering Lab, Institute of Cognitive Science,
Carleton University)
II-08-02 Interview with Thomas Homer-Dixon (Hassan 467
Masum, McLaughlin-Rotman Center for Global
Health)
II-08-03 Achieving collective intelligence via large-scale
argumentation (Mark Klein, MIT Center for
Collective Intelligence)
II-08-04 Scaling up open problem solving (Hassan Masum & 485
Mark Tovey)
D Afterword: The Internet and the revitalization of 495
democracy (The Rt. Honourable Paul Martin &
Thomas Homer-Dixon)
E Epilogue by Tom Atlee 513
F Three Lists 515
1. Strategic Reading Categories
2. Synopsis of the New Progressives
3. Fifty-Two Questions that Matter
G Glossary 519
H Index 52
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