# Trust building models and self-organizing systems / complexity theory

Lecture slides:

- PoSS~ibilities
- What form of Complexity?
- 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
- PoSS: Measures and Models
- PoSS~ibilities ….. A PHILOSOPHICAL PAUSE …..
- PoSS~ibilities Mapping Complexity produces 4 classes:
- 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
- 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
- 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
- PoSS # 3: ORGANIZATION is INVARIANT
- PoSS # 4
- PoSS # 5:
- PoSS # 6
- PoSS # 7: GLOBAL scale Ordering
- PoSS # 8
- PoSS # 9
- Aims
- Assumptions about computation in the brain basis of Connectionist. Models
- Advantages of Connectionism
- Advantages of C.M.
- Recurrent Architecture: Flow of Activation
- Flow of Activation
- Communication
- Flow of Activation RE01
- Communication RE01
- Distributed Cognition
- Distributed Cognition the collaboration link?
- Distributed Cognition RE01
- Distributed Cognition the collaboration link? RE01
- Collaboration & C.M.
- Multi-Agent Model: Activation Flow
- Multi-Agent Model: Weight Change
- Role of trust weights-part01
- Applications
- Role of trust weights-part02
- Maxim of Quantity
- Maxim of Quantity (Novelty) Lyons & Kashima (2003)
- Role of trust weights: Implication
- Hutchins: Getting internal agencies into co-ordination with external structure
- Disturbed cognition

*Author: Margeret Heath, Free University of Brussels*