Collaborative Intelligence (C-IQ)
From NECSIWiki
Designing Challenges to Harness C-IQ
collaborative intelligence, emergence & complexity
Zann Gill, Director, DE•SYN http://desyn.com zanngill@desyn.com
For more info see [1] and [2].
Abstract
Presentation in the Session on ALife and Evolution — Wednesday, June 28, 2006, 2 - 3:30 PM
I will first summarize outcomes of the think tank session at ALife X (June 4, 2006) and discuss proposed ways to harness C-IQ to design and support challenges through convergent process tracking.
Competitions are Petri dishes to culture and study C-IQ, harnessing “empty constructs” that enable implicit ideas to emerge to become explicit. Collaborative intelligence embeds emergent principles into interactive frameworks for decision support, e.g. collaborative intelligence prompters, recommender systems, and semantic meta-tagging.
The discussion will entertain your blue sky ideas “across the game board” in two domains:
• ideas for challenges/ competitions to demonstrate how complexity theory can contribute to scientific knowledge and technology development. We aim to generate some strong ideas that can be developed into actual competitions.
• ways that complexity theory can contribute to “meta issues” of C-IQ (collaborative intelligence) in competition design, management, and information-sharing to make cross-disciplinary collaborative teams more effective.
Introduction
A C-IQ framework to support design challenges is a ”non-mission-critical” Petri dish in which to develop continual assessment capability and Interactive Frameworks for Decision Support (IFDS). Competition ideas emerge through group brainstorming sessions. We aim to promote cross-pollination across disciplines and to use knowledge management strategies that harness complexity principles.
Evolutionary Emergence C-IQ is not only a system for managing competitions, but also a meta-experiment in evolutionary emergence — bottom up structuring, rather than traditional top-down hierarchical control. Research focuses on
• how people collaborate to develop and evolve competition rules of play and benchmarks;
• how new ideas and concepts arise and are tagged and recorded;
• how to build and monitor an automated system that tracks collaborative intelligence and innovation;
• how such a system can adapt and evolve to perform with increasing efficiency;
• how each case study can stretch and test the system as a prototype for other application domains.
Knowledge Clusters The passive wiki mode is a knowledge management framework to navigate information and grow resources and archives. The active IFDS mode offers process support for design, decision-making, and collaborative problem-solving.
The passive/ active modes are tightly coupled, since each user’s path through the knowledge archives (passive) leaves a “pheromone trail” that feeds into the design of the recommender system for future users of the system. User preferences are reflected in site updating.
Interactive Frameworks for Decision Support (IFDS) support emergent, collaborative design and so can study
• knowledge sharing and self-organization across projects, disciplines, and through time;
• process data gathering, archiving and use for process improvement by humans and/or intelligent agents;
• supporting cross-disciplinary innovation, collaborative scenario-building, and
• rapid response needing collective action by diverse human/ agent teams to address complex problems.
IFDS applies principles of collaborative intelligence in mechanisms for knowledge-sharing. Emergent systems for in-process coordination and adaptive collaboration enable collaborative frameworks to evolve.
Embedded Continual Assessment: Collaborative Design of IFDS Systems Supporting the design process through a series of design challenges can become a proving ground for IFDS systems through which future challenges and competitions can emerge. We aim to use bottom-up, emergent methods and to translate complexity principles into IFDS systems to support the collaborative design of specs for new challenges. Design of each challenge should itself be worth tracking, even before competitors submit their entries.
