WN - 2.02 Flashcards
1
Q
What are the characteristics of complex adaptive systems?
A
- Non-linearity
- Emergence; how macroscopic behavior arises from microscopic behavior.
- Dynamical systems change
- Adaption;
- Uncertainty
- Co-evolutionary; how system evolves in synergy
2
Q
Describe how a network (graph) works
A
- Networks are built of interactions; handshakes, collection of links
- Structure of interactions has impact; MAC protocols
- Need way of modelling interactions
3
Q
What are the methods for modelling?
A
- Cellular Automata
- Limited; very specific state of assumptions
- More mathematical
- Spatial lattice of cells with states
- Cell state at time t+1 depends on cell state at time t and state of some of neighbours at time t
- Agent Based Modelling; More simplied
4
Q
Explain CA Neighbourhood
A
- Neoighbourhood depends
5
Q
What are the end conditions of CA?
A
- Final state depends on the neighbourhood and update rules.
Possibilities
1. CA achieves unique state from any starting confition
6
Q
A
- First, usually a communications system. Have no interference
- Quite robust, can move the blocks around.
7
Q
Explain the basic concepts of Agent Based Modelling
A
Agents
- Anything that makes choices in a network
- Autonomous
- Can be adaptive
- Can exist on multiple levels
8
Q
Explain ABM
A
- Agents
- Anything that makes choices in a network
- Autonomous
- Can be adaptive
- Can exist on multiple levels
Assumptions:
- Agents operate in parallel
- No central command
Examples; birds, fish, bees
9
Q
Explain full system modelling
A
- Management level
- Infastructure level
- Action level
10
Q
What is:
- self-organisation
- self-healing
A
11
Q
Which of the followin
A
B
12
Q
What are the rules of ABM
A
- Agents are guided by internal rules; akin to cognitive engine.
- Simple
- Tables with condition and action but not always - Combination of rules leads to emergence
- Sum of individuals does not explain completely collective action.
13
Q
Draw the agent cycle
A
