Human complex systems. How does Social Science benefit from Complexity Theory and Computational Methods?
We explore complex systems inhabited by human beings. These systems are biological, social, cultural, technological and creative. Our method is to analyze the behavior of the inhabitants of these systems and their interactions. Many interactions are indirect with multiple causes and effects. Also, we construct computer models, synthesize virtual worlds, and run simulation experiments.
Our computational methods use software agents. Systems might be teams, families, nations or companies. Multi-agent virtual worlds serve as experimental laboratories to explore intuitions and "what-if" scenarios. Also, models provide insights or predictions that can be validated and calibrated against real world data. Results help us design better high-performing real-world systems with checks and balances. Research here is exciting, vibrant and innovative. Just the Sum of Us: James Surowiecki On What Crowds. Don Tapscott: The Dubai Summit On Redesigning Global Cooperation. I just returned from an extraordinary meeting of 900 academics, civil society leaders, business people and other innovative thinkers, held by the World Economic Forum in Dubai. Called the Global Agenda Summit, 80 Councils composed of a dozen members each, discussed how to redesign our systems for global cooperation for the 21st century. Klaus Schwab, the founder of the Forum, was unable to attend due to a last minute illness, but in an interview shared his thoughts.
"Our existing global institutions require extensive rewiring, and a fundamental shift in values and political culture is vital if we are to foster the global cooperation necessary to confront contemporary challenges in an effective, inclusive and sustainable way. " To address this historic challenge Professor Schwab and the Forum have launched an unprecedented global multi-stakeholder and multimedia dialogue to develop a 21st century vision of global cooperation. This initiative is an important one. Humans Have Evolved Specialized Skills of Social Cognition: The. Humans have brains roughly three times larger than those of their nearest primate relatives, the great apes ( 1 , 2 ), and of course have many cognitive skills not possessed by other primates as well, from language to symbolic mathematics to scientific reasoning.
The questions from an evolutionary point of view—especially given the enormous energetic expense of a large brain ( 3 )—are how and why humans have evolved such powerful and distinctive cognitive abilities requiring so much neural tissue. One hypothesis is the general intelligence hypothesis. Larger brains enable humans to perform all kinds of cognitive operations more efficiently than other species: greater memory, faster learning, faster perceptual processing, more robust inferences, longer-range planning, and so on. The alternative is the adapted intelligence hypothesis ( 4 ). Methods: the test battery and its administration. Table 1. The PCTB, including domains, scales, and tasks ( 25 ). Results. Ross Mayfield's Weblog: Power Law of Participation. Social software brings groups together to discover and create value.
The problem is, users only have so much time for social software. The vast majority of users with not have a high level of engagement with a given group, and most tend to be free riders upon community value. But patterns have emerged where low threshold participation amounts to collective intelligence and high engagement provides a different form of collaborative intelligence. To illustrate this, lets explore the Power Law of Participation: Most of Chris Anderson's Long Tail examples have focused on models of consumption, not production, where intelligence is largely artificial. As we engage with the web, we leave behind breadcrumbs of attention. Digg is the archetype for low threshold participation. The byproduct of use is a Conucopia of the Commons -- the act of using the database adds value to it.
In Wikipedia, 500 people, or 0.5% of users, account for 50% of the edits.