Tim Berners Lee recognized the problematics of the messy web early on and proposed the Semantic Web to overcome messiness and apply a semantic structure to bring order (read: computer logic) in the chaos (read: human expression).
Pierre Levy, French philosopher and leading expert on collective intelligence, is on a similar mission. While driven by, arguably, a similar set of goals, his approach takes a step further. The problem with Berners Lee semantic structure is that implies a universal ontology, which might prove out to be the Achilles heel of the protocol. Levy's approach overcomes these problems.
Levy is currently working on a research program, called IEML (Information Economy Meta Language). IEML is a metalanguage and proposes itself as the language of collective intelligence.
Researchers say that players of a protein-folding game called Foldit are coming up with molecular "recipes" that rival their own complex algorithms.
WeKnowIt is a 3 year Integrated Project developing novel techniques for exploiting multiple layers of intelligence from user-generated content, which together constitute Collective Intelligence, a form of intelligence that emerges from the collaboration and contributions of many individuals.
Businesses are using collective intelligence to speed up company growth, improve efficiency, enhance products and services, and strengthen the employee environment, according to new research from IBM.
We all know people like them, people who seem to know everyone. They're always able to help -- or if they can't, they know someone who can. You meet them for the first time and in 15 minutes, you're talking with them like you're childhood friends. They're successful, smart and funny, with a likable touch of self-deprecation. And they're interested in everything.
Who are they? Connectors. Take Maryam Banikarim, senior vice president and chief marketing officer at Gannett, publisher of USA Today. She has a perfect job for a connector -- she helps link Gannett's various newspapers and media outlets "and bring the pieces together."
Familiar examples of collective intelligence such as the vastness of user-generated Wikipedia and the way Google has collected web pages to answer user queries “are not the end of the story but just the beginning” writes MIT Sloan’s Thomas Malone.
Malone co-chaired the Collective Intelligence 2012 conference, which was held last week at MIT. His co-chair was Luis von Ahn, an assistant professor in School of Computer Science at Carnegie Mellon. The goal of the conference was to review papers about behavior that is both collective and intelligent and to lay the groundwork for forming a new interdisciplinary field to explore these kinds of intelligence. Malone is director of the MIT Center for Collective Intelligence.
Presenters and attendees tweeted about the events at Twitter hashtag #ci2012, noting that 104 papers were submitted for consideration and 18 selected for presentation. Additional papers were listed as poster papers and plenary abstracts. Full text of all the papers went online during the conference.
We make the path by walking. Not so much by talking about it. And herein lies one of the major pitfalls of human decision making: we gather into groups of talking heads and hash out ideas. Then we vote or use some other abstraction-based process to narrow the choices, and hope that this will lead us in the right direction. But it is often a real struggle to get anywhere, and the results? Lackluster.
Social insects do it differently. They use a process called quorum sensing. What happens when ants need to move their home after a crack in the ground, or bees need to choose their new hive after swarming? Scouts go out looking for likely sites, laying down pheromone trails in areas that seem promising. Then they go back and communicate their excitement to their nest sibs.
Big data has always had a place in the world of systems management, but it might have found its sweet spot in the cloud. While there are plenty of tools available for analyzing data on how your physical resources are operating in your data center, it’s still a lot of work and it’s not easy to truly figure out what’s going on. You could think of it like a Yakov Smirnoff joke: In data center, you discover insights. In cloud, insights discover you.
"Today's smartphones are pretty darned smart. Yet we are only scratching the surface of what these devices might do. What if our smartphones were actually intelligent? Able to perceive our actions and intentions and act upon them on our behalf? That's the goal of a startup called Kimera."
"Collective intelligence has been around for a long time. What is different today, however, is how collective intelligence, combined with technology, has the power to create what has been described as a "global brain." Technology optimists like Thomas Malone, who heads MIT's Center for Collective Intelligence, argue that this global brain will develop into an awesome problem solving tool that will be able to tackle seemingly insurmountable problems. "
"What does collective intelligence mean? It's important to realize that intelligence is not just something that happens inside individual brains. It also arises with groups of individuals. In fact, I'd define collective intelligence as groups of individuals acting collectively in ways that seem intelligent. By that definition, of course, collective intelligence has been around for a very long time. Families, companies, countries, and armies: those are all examples of groups of people working together in ways that at least sometimes seem intelligent."
"The emerging science of ‘collective intelligence’ — and the rise of the global brain"
"While people have talked about collective intelligence for decades, new communication technologies—especially the Internet—now allow huge numbers of people all over the planet to work together in new ways. The recent successes of systems like Google and Wikipedia suggest that the time is now ripe for many more such systems, and the goal of the MIT Center for Collective Intelligence is to understand how to take advantage of these possibilities.
Our basic research question is: How can people and computers be connected so that—collectively—they act more intelligently than any individuals, groups, or computers have ever done before?'
The Center for Collective Intelligence brings together faculty from across MIT to conduct research on how new communications technologies are changing the way people work together."
"THOMAS W. MALONE is the Patrick J. McGovern Professor of Management at the MIT Sloan School of Management and the founding director of the MIT Center for Collective Intelligence. He was also the founding director of the MIT Center for Coordination Science and one of the two founding co-directors of the MIT Initiative on "Inventing the Organizations of the 21st Century"."
"Over the last several years, I’ve become familiar with the work of Thomas W. Malone and the Center for Collective Intelligence, the lab he directs at the Massachusetts Institute of Technology. The center is studying, and trying to make the most of, the human species’ fast-growing capacity to think outside the box — with the box in this case being an individual’s skull and cerebral cortex.
Malone discussed his goals, work and background in a session recorded and transcribed by Edge.org, the Web site developed by the literary agent and intellectual impressario John Brockman as something of an online science salon.
Needless to say, Malone’s work on what he calls the evolving “global brain” relates powerfully to the thread of posts I’ve been writing on what I call Knowosphere. "
"Collective intelligence is a growing trend that seeks to exploit the computational power of millions of users
You have probably done it but maybe you didn’t realise. Or maybe you did it on purpose, but it was a game. What is it? Collective intelligence, or “human computation”, is a growing trend that looks to harness the wisdom of the crowd to solve problems.
Today, enormous computational power is distributed among millions of users, and the internet offers a means to connect it, explains Prof Barry Smyth, professor of computer science at University College Dublin."
"Consider how much knowledge is now at your fingertips! Marketing data, medical studies, scientific papers, blue prints: anything you want to know, anything you want to learn, can be found on the Web. Not only that, but the Internet has become a collection of peoples’ thoughts, opinions, studies and experience on any given subject. So much so, that it’s become a mass mind – a living, feeling, learning creation.
We all play a part…
The fascinating thing is that each of us plays a part in helping this creation grow. By writing and posting new content, we add to the collection our own thoughts, experience and knowledge. Even if the topic is the same, with few exceptions, each person’s content is unique, because our views on our personal experiences.
How amazing! How wonderful! How fantastic! With prolific online authors, you can search their names, and learn all about them. It’s almost like reading their minds – it’s all there for us to digest."
They also observed three consistent factors that impact how effective a group is:
"“Intelligence is a cognitive feedback system that allows us to adjust appropriately to changing conditions.
Here’s how it works – at least ideally: Using our intelligence, we observe and organize what’s going on in and around us. We learn – by reflecting on what we observe, calling up memories, and creating understandings – recognizing patterns and creating ideas and narratives. We decide on how to act, based on our understandings. When we observe the results of our actions and reflect on what we observe, we can modify our understandings – our ideas, stories, beliefs, and worldviews – to take into account what we’ve observed. This is “learning from experience” – the most fundamental role of intelligence."