P2P-influenced concepts related to Knowledge Management, epistemology, etc...

This section is aimed at people working within institutions or corporate environments, and familiar with knowledge management.

At this state we only ported a limited number of items from our related section on P2P Learning, i.e. the relevant entries from A to H.

Introduction

• David Weinberger: Objectivity without Transparency is Arrogance

Citations

The systematic extensions of my brain is the brain of my friends. No matter how good tagging systems and wikis I have, they are neither sustainable nor scalable, when facing the tsunami of complexity waves coming at us faster and faster. The coming chaos is evolution trick’s to push us out from the comfortable but illusory thinking of the individual being the basic cognitive unit. IMHO, it’s the collective.

- George Por

Experience has long been considered the best teacher of knowledge. Since we cannot experience everything, other people’s experiences, and hence other people, become the surrogate, of knowledge. I store my knowledge in my friends is an axiom for collecting knowledge through collecting people.

- Karen Stephenson [2] [3]

To survive and thrive, human systems *need* a not just a network view, but a multi-dimensional, multi-scaled view and definition of systems. this will help us see how many, many people can operate and multiply many forms of wealth within systems that previously seemed easily depletable. Peer networks are vital to creating the multi-dimensional maps and models and views that will allow all of us to see the cornacopia of options that now exist, provided we can shift out focus from exploitation and control, to existential symbiosis with everything that is around us, on as many scales as possible.

- Sam Rose

Framework

1.

Dave Snowden has proposed the Cynefin framework for identifying the best match between knowledge styles and reality:

"It has five domains, characterised by the relationship between cause and effect. The first four domains are:

• Simple, in which the relationship between cause and effect is obvious to all, the approach is to Sense - Categorise - Respond and we can apply best practice.

• Complicated, in which the relationship between cause and effect requires analysis or some other form of investigation and/or the application of expert knowledge, the approach is to Sense - Analyze - Respond and we can apply good practice.

• Complex, in which the relationship between cause and effect can only be perceived in retrospect, but not in advance, the approach is to Probe - Sense - Respond and we can sense emergent practice.

• Chaotic, in which there is no relationship between cause and effect at systems level, the approach is to Act - Sense - Respond and we can discover novel practice.

The fifth domain is Disorder, which is the state of not knowing what type of causality exists, in which state people will revert to the comfort zone in making a decision." (http://en.wikipedia.org/wiki/Cynefin)

See the video: Shawn Callahan on the Cynefin Framework

2.

Framework from George Dyson in Darwin Among The Machines, summarized by Kevin Kelly [4]:

• One species, many minds: The official future. We interbreed among our genetic improvements and keep our individuality distinct, and our species identity intact.

• One species, one mind: Through electronic mediation, we join together to create a superorganism. A suprahuman.

• Many species, many minds: Ultimate diversity. Humans fork in their evolution to create new breeds. Some may even join machines in cyborgian partnerships.

• Many species, one mind: We fork in biology but unite in the noosphere. Millions of species share the same mind.

Key Resources

1. The Social Brain Hypothesis, essay where Robin Dunbar explains the cognitive limitations of his Dunbar Number
2. Book: Collective Intelligence: Creating a Prosperous at Peace. Ed. by Mark Tovey.

Key Articles

1. Nova Spivack: Towards Healthy Virtual Selves for Collective Groups; From the recommended essay: How to Build the Global Mind
2. Harnessing Crowds: Mapping the Genome of Collective Intelligence. By Thomas Malone, Robert Laubacher, and Chrysanthos Dellarocas. [5]

John Stewart:

1. The evolution of consciousness, rooted in complexity and cognitive sciences. See Stewart, J. E. (2007) The future evolution of consciousness, Journal of Consciousness Studies, Vol. 14, No. 8, Pp. 58-92.
2. Evolutionary Manifesto ; book: Evolution's Arrow

Key Books

1. George Dyson. Darwin Among The Machines: The Evolution Of Global Intelligence: wonderful history of the network mind
2. Otto Laske. Manual of Dialectical Thought Forms.

• COLLECTIVE INTELLIGENCE: Creating a Prosperous World at Peace. Ed. by Robert Steele et al. This book contains key essays from all major figures in the field. Full online version [6]

Key Tags

1. Collective Intelligence
2. P2P Learning
3. P2P Epistemology