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Ideas

Ideas. What can we do with them? Sam Hahn 20110726. Data. Data. Patterns. Visual Auditory Touch Temperature Taste Feelings …. Mappings. (pattern to pattern) (pattern to object) Symbol to pattern Symbol to (pattern to object) Symbol to object Approximate, not precise.

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Ideas

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  1. Ideas What can we do with them? Sam Hahn 20110726

  2. Data

  3. Data

  4. Patterns Visual Auditory Touch Temperature Taste Feelings …

  5. Mappings • (pattern to pattern) • (pattern to object) • Symbol to pattern • Symbol to (pattern to object) • Symbol to object Approximate, not precise

  6. Ideas are elements of cognition I am hungry

  7. Ideas • Can be extracted from data • Can be manipulated • Can be “remembered” • Can be aggregated / composed • Can compose statements / predicates • Look simple • Deceptively simple

  8. Naming and Identity • Reference • Paths • ((Google)) • Frames of Reference • Eg Individuals

  9. Why?

  10. Manipulation • To express • To command • To request • To remember • To ponder • To produce more ideas • …

  11. Expression • Letters • Poetry • Literature • Blogs • Microblogs • Rants • …

  12. Producing New Ideas • Composition / Aggregation • Analogy • Deduction • Induction • Inference • Forward chaining • Backward chaining • Unification

  13. Systems of Idea Production • Science • Logic • Inspiration • God • Art • Metaphor • Analogy • …

  14. Why?(more tactically…)

  15. Augmenting an Individual • Remember ideas • Remember action items • Communicate • Noodle • What-if… • Restructure • Associate • Group • Pattern Recognition • Play / Animate / • Re-Present • Deal with Complexity • Model • Learn • Synthesize • Analyze • Explain dot dotdot

  16. Collaboration • Collaboration isn’t about people • Well it is, but not primarily • Collaboration is about producing better ideas • Solutions • Products • Art • Skills • Plans • … • Understanding the “people” issues and how they help or hinder the eventual arrival at better ideas

  17. Managing Complexity • “Focus” at levels of abstraction • “Focus” at specific areas / points of the problem space • Eliminating extraneous / distracting detail / structure for the moment

  18. Example of Axon work in progress

  19. Axon • Ideas can be represented • Named, with detail • Ideas are manipulable • Ideas can be connected • Ideas can be arranged • Manually, or automatically • No fixed root node / object! • Limitation / requirement of “mindmaps” • Ideas can be “presented” • Arcs are first-class objects • Missing in outliners • “Ideas can be executed”

  20. Other notable tools • FreePlane (Java) – Free • Ecco (Windows) – no longer supported, but available for download • iThoughtsHD (iPad) - $9.99 • Thinking Space (Android) – Free • MindMeister (web) – Free on web (?) • Hundreds of alternatives exist • Almost notable: • MindManager (even though I paid for this)

  21. Example of Ecco in action • 1-level view,vs N-level view

  22. Knowledge • Idea – symbolic association with “something” • I can have an idea of a tree • I can have an idea that a tree is green • Knowledge – Constructs of ideas that imply TRUTH or validity • My idea “a tree is green” is TRUE in this / a knowledge base

  23. Recognition • Basic: • Given a set of sensor data, what symbols do I extract? • More complex: • Given a set of sensor data *and* ideas, what symbols do I extract?

  24. Inference • Production of constructs that are TRUE • Production of constructs that are “Likely to be True”

  25. Problem • A delta between 2 world-states • One is the target, or ideal state • One is the current, or problematic state

  26. Intelligence • The ability to create a path (implementation) between the current and the target states • Can include training, skill attainment

  27. Innovation • The ability to create a solution path when the target state and the current state are not familiar • No known path can be taken OTS and applied to the current problem

  28. Collective Intelligence • Ability for a team (group, etc) to create a solution that is “better” than that of any proper subset of it • “Better” by some team notion of utility function • Does not imply universal participation, equal airtime, feeling good, etc.

  29. Insight • Application of a solution structure from a different domain to the current problem under consideration

  30. Command, Control, Communications, Intelligence • An intelligence architecture that contains • Sensors • Triggers • Event models • Situation assessment • Situation Summary / Dashboard • Tasking model – sensor-centric • Response Model – problem-centric

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