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patham9 edited this page Oct 15, 2018 · 21 revisions

Welcome to the ANSNA Wiki! This is the system overview page, before diving into other sections, you may consider looking at https://github.com/patham9/ANSNA/wiki/System-graphs

ANSNA Overview The system performs sequence formation steps, under attentional control, which then become concepts. These concepts try to predict other sequences based on the observation of its own sequence: For instance, concept a becomes a predictor for event b, so that after repeatedly observing ab, concept a will predict the occurrence of b after the observation of a, based on the within concept a, by Induction and Revision built predictive hypothesis a =/> b. This can be seen as some kind of Inference too. Here, derived sequences feed back to the attention buffer, while a predictive hypothesis a =/> b directly goes back to a. The sequences (with 1-ary sequences as special case), are however not terms like in OpenNARS, instead they are represented as a Sparse Distributed Representations (SDR). This allows the system to see new sequences as a special case of others with little resource effort, leading to the creation and usage of a taxonomy within the memory, almost for free.

Since events can be goals, the knowledge a =/> b can also be used backwards by the concept, to generate goal a! based on goal b! as a form of Deduction. For this purpose, a =/> b is also going back to b, which makes the green links in the diagram look special.

Input: https://github.com/patham9/ANSNA/wiki/Input

Attention buffer: A fixed-size priority queue, ordering events according to their Attention Value.

Concepts: A fixed-size priority queue, ordering concepts, named by SDR's according to their Attention Value.

Overall working cycle example: https://github.com/patham9/ANSNA/wiki/Working-cycle

Action: A fixed procedure triggered by the derivation of a goal of high desire value that got processed in its concept.

Inference:

Revision:
{Event a., Event a.} |- Event a.
{Event a!, Event a!} |- Event a!
{Implication <a =/> b>., Implication <a =/> b>.} |- Implication <a =/> b>.

Deduction:
{Event a., Implicatiom <a =/> b>.} |- Event b.
{Event b!, Implication <a =/> b>.} |- Event a!
SDRMatch (https://github.com/patham9/ANSNA/wiki/SDRInheritance-for-matching,-and-its-truth-value)

Induction:
{Event a., Event b.} |- Implication <a =/> b>.

Abduction:
{Event b., Implication <a =/> b>.} |- Event a.
{Event a!, Implication <a =/> b>.} |- Event b!

Intersection:
{Event a., Event b.} |- Event (&/,a,b).
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