Mining for Meaning – work in progress!

Mining for Meaning (working title)

Proposed human/machine cognitive information processing methodology, compatible with automated equivalent, i.e nooron, to be applied by human agents to and as living information systems.

Intended outcomes are; more coherent communication, more reliable and relevant available information, enhanced capacity to satisfy inquiry, less confusion and ambiguity, less potential for conflict to disrupt vital interactions among agents.

Meaningful outcomes are the essence of coherent communication. These are enhanced and made possible by willing and honest effort to learn, ability to make sense and extract meaning resulting in mutual understanding between agents (human and virtual) and information objects within a shared, defined information space. Precedents for this are; scientific research methodology and academic institutional information creation and curation techniques, both of which are inherently limiting in ways which this methodology seeks to transcend.

Meaning in context is dependent on and is conditioned by both the structure and the content of the information space. Factors to the process are; available knowledge resources, the structural dynamics among the information objects, the cognitive processors (minds) and the condition of the participant mind/body units of consciousness engaging the information space and it’s content.

Mutually agreed meaningful understanding of specific information sets is the result of a process of aggregate “best thinking”. Data made available through such a process can be relied upon to be well documented, researched and peer reviewed, as well as critcally analysed and compared with all available alternate perspectives so as to return a high quality information set.

The development and deployment of a navigable, virtual, meta-cognitive environment with high fidelity knowledge processing capability will enhance the effectiveness of the “mining for meaning” method and it’s outputs.

The ideal information environment will be one that enables the creative evolution and emergence of generative, collective, “energised thought forms” and complex memetic eco-systems which can be represented within the information space as experiencable phenomena.

Information space, in this context is defined as a structured set of states and state transitions which result in both descriptive and formative information sets.

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