Conceptual Framework for Online Identity Roles I just wrapped up a final project for an aesthetics course this semester, the assignment being to create a “Database of the Self.” I chose to make the database as a representation of the roles we play in terms of how we interact with information online. The roles are overlaid on a panarchy, which shows a visualization of adaptive lifecycles. Though the evolution of every idea or meme won’t necessarily follow this specific path, (it may in fact be rhizomatic, with multiple feedback loops), this begins to flesh out what we become as nodes within an enmeshed series of networks. The cycle can be thought to begin with the “Activators,” in the lower right side of image. For an interactive version of the graphic, click here. I found this to be an interesting exercise when thinking about the impact and influence we have on the web, and how information travels. Thanks to @wildcat2030 for inspiration from Friendships in Hyperconnectivity mindmap and to @gavinkeech for visual design. Like this:
to be published in: R. Trappl (ed.) (1996): Cybernetics and Systems '96 (World Science, Singapore?)Francis Heylighen & Johan Bollen Center "Leo Apostel", Free University of Brussels, Pleinlaan 2, B-1050 Brussels Belgium email: fheyligh@vnet3.vub.ac.be, jbollen@vnet3.vub.ac.be Abstract If society is viewed as a super-organism, communication networks play the role of its brain. 1 Introduction It is a recurrent idea that the whole of humanity, the system formed by all people together with their channels of exchange, can be viewed as a single organism: the `super-being' [Turchin, 1977] or `metaman' [Stock, 1993]. Yet, there is at least one domain where integration seems to be moving full speed ahead: the development of ever more powerful communication media. In organisms, the evolution of the nervous system is characterized by a series of metasystem transitions producing subsequent levels of complexity or control [Turchin, 1977; Heylighen, 1995, 1991b]. 2 The Web as an Associative Memory
The Global Brain, the Semantic Web, the Singularity and 360-2020 consciousness to create the Web of WE: socially-voiced co-creation - un knol de 刘Twain Video Introduction F irstly, thank you for your interest and I hope readers will contribute their own considered analysis and gut intuitions here intelligently, regardless of whether or not they agree with these postulations and the presentation of them. Secondly, I’m looking forward to our interactions and building upon this model together. Thirdly, I have the flu whilst I write this so my own brain may not be optimally functioning! Nevertheless, I promised a knowledge share and here it is. This post is an initiating conversation in a continuum of “negotiations of intellect” (discourse) I’m engaging in with others interested in the subject matter, as well as within myself. It is not intended to be the definitive, static or absolute end-game version, nor indeed the academic / geek version. I decided to start this posting today, 26 November, on my father's birthday. It’s for this myriad of interconnected reasons I’m interested in the Global Brain: personal, parental and professional.
Le cerveau bayésien 14 juin 2008 par Jean-Paul Baquiast Le cerveau bayésien Deux articles de grande portée épistémologique ont été publiés à un mois d’intervalle par le journal britannique NewScientist, dont la fécondité ne cesse de nous étonner. Ces articles s'articulent logiquement. Some swans are grey Le premier article, « Some swans are grey » de Robert Matthews (10 mai 2008, p. 44) relativise l’intérêt de la falsifiabilité proposée par Carl Popper dans « La logique de la découverte scientifique, 1934 » afin de distinguer les « vraies » hypothèses scientifiques des hypothèses présentées par les « fausses sciences »(1). Ajoutons que les expériences destinées à prouver telle théorie ou hypothèse dépendent de l’état de l’instrumentation scientifique, lequel se perfectionne sans cesse. La critique poppérienne est aujourd’hui largement utilisée par les scientifiques voulant montrer que la cosmologie n’est pas une « vraie science »(2). Mais comment ? Essence of thought Revenons en arrière.
Dossier : de l'IA faible à l'IA forte, par Jean-Claude Baquiast et Christohe Jacquemin 9 juillet 2008 par Jean-Paul Baquiast et Christophe Jacquemin Dossier L'intelligence artificielle (IA). De l'IA faible à l'IA forte L’Intelligence artificielle (dite ici IA) a connu des développements rapides, principalement aux Etats-Unis, dans les années 1960/1970, en corrélation avec l’apparition des premiers ordinateurs scientifiques. ues. On voit par ailleurs aujourd’hui se développer une IA qui vise à reproduire le plus grand nombre possible des fonctions et performances des cerveaux animaux et humains. En pratique, ces IA fortes sont associés à des robots, à qui elles confèrent des propriétés d’autonomie de plus en plus marquées. Proposons notre définition de l’IA : nous dirons qu’elle vise à simuler sur des ordinateurs et des réseaux électroniques, par l’intermédiaire de programmes informatiques, un certain nombre des comportements cognitifs, ou façons de penser, des cerveaux animaux et humains. C’est d’ailleurs ce qui est en train de se passer avec l’IA. 1. Les systèmes experts
Imagination Engines Inc. 6 questions with...Jonathan Harris PopTech’s series, 6 questions with… gives us a chance to get into the heads of social innovators, technologists, artists, designers, and scientists to see what makes them tick. Artist, computer scientist and Internet anthropologist, Jonathan Harris (PopTech 2007) explores the intersection between human emotion, technology, and storytelling. He's known for insightful and inventive projects including We Feel Fine and Universe among many others. If I'd been a fly on the wall of your office/studio, what would I have seen you doing yesterday? What’s the mark you’re hoping to leave on the world? What do you wish you had known when you began working? What was the pathway that brought you to this work? Who or what has most influenced your life and work? What book is on your nightstand right now? Images: Jonathan Harris
Six Global Theories of Mythology: Part Six – Myths express the Unconscious Human Mind | Once Upon A Time… The Human Mind The Sixth Global Theory – Myths reflect Man’s Unconscious Mind After the intensity of the progression of mythological theories in their investigation into the psychology, values, phenomenology, history and rituals of any particular civilisation or society, the Psychoanalytical Theory of myths was inevitable. Freud’s ‘Interpretation of Dreams’ investigated the link between the language of dreams and mythological symbols based on the tribal belief that dreams and myths arise from the same reality. Freud (1856 – 1939) believed in a transhistorical and biological conception of mankind and furthermore that myth expressed repressed desires. Sigmund Freud on the realities of Mythical Themes in the Individual and Society: Hence the realm of myth and symbol moved into the field of depth psychology and remained linked to the fields of sociology and anthropology through studies such as the 1910 work of Lucien Levy-Bruhl entitled ‘How Natives Think’. Carl Jung on Mythology: Like this: J.
Théorie des intelligences multiples Un article de Wikipédia, l'encyclopédie libre. La théorie des intelligences multiples suggère qu'il existe plusieurs types d'intelligence chez l'enfant d'âge scolaire et aussi, par extension, chez l'Homme. Cette théorie fut pour la première fois proposée par Howard Gardner en 1983. L'origine de la théorie[modifier | modifier le code] Lorsque Howard Gardner publia son livre Frames of Mind: the Theory of Multiple Intelligence en 1983, il introduisit une nouvelle façon de comprendre l'intelligence des enfants en échec scolaire aux États-Unis. Les diverses catégories d'intelligence pour Howard Gardner[modifier | modifier le code] L’intelligence logico-mathématique[modifier | modifier le code] Les personnes qui ont une intelligence logico-mathématique développée possèdent la capacité de calculer, de mesurer, de faire preuve de logique et de résoudre des problèmes mathématiques et scientifiques. L’intelligence spatiale[modifier | modifier le code] Notes et références[modifier | modifier le code]
Minding the Planet: From Semantic Web to Global Mind Draft 1.1 for Review (integrates some fixes from readers) Nova Spivack (www.mindingtheplanet.net) This article presents some thoughts about the future of intelligence on Earth. In particular, I discuss the similarities between the Internet and the brain, and how I believe the emerging Semantic Web will make this similarity even greater. The Semantic Web enables the formal communication of a higher level of language -- metalanguage. The invention of written language long ago changed the economics of communication by making it possible for information to be represented and shared independently of human minds. Semantic metalanguages provide a way to formally express, distribute and share the knowledge necessary to interpret and use information, independently of the human mind. The emergence of standards for sharing semantic metalanguage statements that encode the meaning of information will catalyze a new era of distributed knowledge and intelligence on the Internet.
Metaman Metaman: The Merging of Humans and Machines into a Global Superorganism (ISBN 067170723X) is a 1993 book by author Gregory Stock. The title refers to a superorganism comprising humanity and its technology. While many people have had ideas about a global brain, they have tended to suppose that this can be improved or altered by humans according to their will. World Brain World Brain is a collection of essays and addresses by the English science fiction pioneer, social reformer, evolutionary biologist and historian H. G. Wells, dating from the period of 1936–38. Throughout the book, Wells describes his vision of the world brain: a new, free, synthetic, authoritative, permanent "World Encyclopaedia" that could help world citizens make the best use of universal information resources and make the best contribution to world peace. Development of the idea[edit] World Encyclopedia[edit] Wellsian dream of World Brain was first expressed in a lecture delivered at the Royal Institution of Great Britain, Weekly Evening Meeting, Friday, 20 November 1936. My particular line of country has always been generalization of synthesis. He wished the world to be such a whole "as coherent and consistent as possible." The Brain Organization of the Modern World[edit] (Lecture delivered in America, October and November 1937) A Permanent World Encyclopedia[edit] Brian R. [edit]
Noogenesis Noogenesis (Ancient Greek: νοῦς=mind + γένεσις=becoming) is the emergence of intelligent forms of life. The term was first used by Pierre Teilhard de Chardin in regard to the evolution of humans. It also used in astrobiology in regard to the emergence of forms of life capable of technology and so interstellar communication and travel. Teilhard[edit] Noogenesis began with reflective thought; or with the first human beings. Teilhard imagines that noogenesis will eventually reach a critical point of consciousness, brought about by a maximum tension of human socialization. Astrobiology[edit] In astrobiology noogenesis concerns the origin of intelligent life and more specifically technological civilizations capable of communicating with humans and or traveling to Earth.[1] The lack of evidence for the existence of such extraterrestrial life creates the Fermi paradox. References[edit]
Superintelligence A superintelligence, hyperintelligence, or superhuman intelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. ‘’Superintelligence’’ may also refer to the form or degree of intelligence possessed by such an agent. Technological forecasters and researchers disagree about when human intelligence is likely to be surpassed. Some argue that advances in artificial intelligence (AI) will probably result in general reasoning systems that lack human cognitive limitations. Experts in AI and biotechnology do not expect any of these technologies to produce a superintelligence in the very near future. Definition[edit] Summarizing the views of intelligence researchers, Linda Gottfredson writes: Intelligence is a very general mental capability that, among other things, involves the ability to reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly, and learn from experience. Feasibility[edit]