Trust building models and self-organizing systems / complexity theory
author:
Margeret Heath,
Free University of Brussels
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| Slides | |
| 0:01 | PoSS~ibilities-part01 |
| 1:50 | PoSS~ibilities-part02 |
| 7:09 | Picture01 |
| 7:31 | PoSS~ibilities-part03 |
| 12:05 | PoSS~ibilities-part04 |
| 14:11 | PoSS~ibilities-part05 |
| 15:43 | Picture02 |
| 16:41 | What form of Complexity? |
| 17:34 | Complexity Theory: “… focuses on complex, non-linear, open systems. Complex systems respond to perturbation by self-organizing into emergent forms that cannot be predicted from understanding of its |
| 19:13 | PoSS: Measures and Models-part01 |
| 20:30 | PoSS: Measures and Models-part02 |
| 21:41 | PoSS: Measures and Models-part03 |
| 21:59 | PoSS: Measures and Models-part04 |
| 22:57 | PoSS: Measures and Models-part05 |
| 23:57 | PoSS~ibilities ….. A PHILOSOPHICAL PAUSE ….. |
| 24:12 | PoSS~ibilities Mapping Complexity produces 4 classes: |
| 25:12 | Mathematical and computational tools for inferring the causal architecture And these are pretty complicated. Tools from Dynamical Systems Theory; Statistical Mechanics, and Algorithmic approaches to |
| 25:30 | PoSS # 1: This ‘fractal’ art structure is a beautiful example of how form emerges from ‘order’ parameters of self-organizing systems over time. In this case, someone ‘tweaked’ them (played) and to ou |
| 26:31 | PoSS # 2: The FUTURE is dependent on what is what is happening NOW; What is happening NOW is a ‘state’ in a system; NOW is a combination of outside and inside ‘coupling’ This is a SYSTEM |
| 27:39 | PoSS # 3: ORGANIZATION is INVARIANT |
| 31:07 | PoSS # 4 |
| 34:53 | PoSS # 5: |
| 36:11 | PoSS # 6 |
| 37:03 | PoSS # 7: GLOBAL scale Ordering |
| 41:13 | PoSS # 8 |
| 42:07 | PoSS # 9 |
| 43:59 | Picture03 |
| 49:18 | Aims |
| 52:44 | Assumptions about computation in the brain basis of Connectionist. Models-part01 |
| 54:23 | Assumptions about computation in the brain basis of Connectionist. Models-part02 |
| 55:14 | Assumptions about computation in the brain basis of Connectionist. Models-part03 |
| 56:54 | Assumptions about computation in the brain basis of Connectionist. Models-part04 |
| 59:59 | Assumptions about computation in the brain basis of Connectionist. Models-part05 |
| 61:03 | Picture04 |
| 62:04 | Advantages of Connectionism |
| 62:40 | Advantages of C.M.-part01 |
| 62:52 | Advantages of C.M.-part02 |
| 63:10 | Picture05 |
| 64:26 | Recurrent Architecture: Flow of Activation |
| 65:00 | Flow of Activation |
| 65:18 | Communication-part01 |
| 65:52 | Flow of Activation RE01 |
| 66:07 | Communication-part01 RE01 |
| 66:32 | Communication-part02 |
| 69:42 | Communication-part03 |
| 70:34 | Communication-part04 |
| 70:59 | Communication-part05 |
| 71:05 | Distributed Cognition |
| 71:40 | Distributed Cognition the collaboration link? |
| 71:51 | Distributed Cognition RE01 |
| 72:04 | Distributed Cognition the collaboration link? RE01 |
| 72:31 | Collaboration & C.M. |
| 73:24 | Picture06 |
| 73:27 | Multi-Agent Model: Activation Flow |
| 73:47 | Multi-Agent Model: Weight Change-part01 |
| 74:17 | Multi-Agent Model: Weight Change-part02 |
| 74:32 | Multi-Agent Model: Weight Change-part03 |
| 74:56 | Role of trust weights-part01 |
| 75:12 | Applications |
| 75:29 | Role of trust weights-part02 |
| 75:36 | Maxim of Quantity |
| 75:39 | Maxim of Quantity (Novelty) Lyons & Kashima (2003) |
| 76:08 | Role of trust weights: Implication |
| 76:29 | Picture07 |
| 76:31 | Hutchins: Getting internal agencies into co-ordination with external structure |
| 77:32 | Disturbed cognition |
| 79:58 | PoSS~ibilities-part06 |
| 81:37 | PoSS~ibilities-part07 |
| 84:55 | PoSS~ibilities-part08 |
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The original version of this video is unedited, unfortunately, and the technical problems are irritating. I wish that I had been more specific and less nervous at the time, but experience certainly makes one a better presenter. I'd be happy to answer question that folk might have on complexity per se and to offer corrections to erroneous 'suggestions' that might have arisen in this presentation.
The marrying of hard systems with soft-systems is never an easy one (if at all possible); the idea that "trust" as a subjective experience can be captured by parameters of informational interaction, or even simple communicative patterns is naive. It is naive, especially, without the positing of an embodied form of interaction, or some 'grounding' that resides in the physiological parameters/emotional variables that one could use as indications thereof.
One of the things I enjoy most about learning and research is the certainty that one changes one's notions as a result of the activities of research and that with time and care one is able to provide higher resolution ideas to answers given as refutations earlier in one's career.
Brilliant work, Margeret. Patterning......thank-you for the insight.