Network Exchange Theory
Model was written in NetLogo 5.3
•
Viewed 503 times
•
Downloaded 38 times
•
Run 0 times
Do you have questions or comments about this model? Ask them here! (You'll first need to log in.)
Info tab cannot be displayed because of an encoding error
Comments and Questions
Please start the discussion about this model!
(You'll first need to log in.)
Click to Run Model
globals [ ] turtles-own [ outreach ;;Communicability receptability ;;Willingness to be communicated with bargain-threshold ;;How much an agent is willing to offer min-profit ;;Minimum profit agent will accept from negociation bank ;;How much the agent has to bargain with offer ;;What an agent offers raise-increment ;;How much an agent will put in a bargain agreed? ;;Whether the agent agreed to the bargain ] to setup-network clear-turtles ask patches [set pcolor white] create-turtles num-nodes ;;How many players repeat 10 + sqrt num-nodes [layout-spring turtles links 0.2 5 2] ;;Network layout ask turtles [ set bank random-float 1000 ;; sum [bank] of turtles set label who set label-color black set agreed? false set shape "circle" set color red ] calculate-pcomms ;;Starting probability of agent's willingness to reach out calculate-bargain-threshold ;;Agents decide how much they will risk in bargaining layout output-show median [bank] of turtles ;;Shows median bank accounts in interface for possible use in median voter algoithm reset-ticks end to cycle-go ;;Loops the model a preset number of 'cycles' repeat cycles [ setup-network loop-model ] end to loop-model ;;Procedure combining bargaining sub-procedures loop [ bargain layout resize-turtles fold tick if count turtles = 0 [stop] ] end to resize-turtles ;;Visual representation of agent's 'power' in the network ask turtles [ set size sqrt count link-neighbors + (round bank / 1000) ;;Placeholder for distributing resources across agents ] end to calculate-pcomms ;;Agents decide to reach out ask turtles [ set outreach random-float 1 ;;Placeholder for algorithm where turtles decide how 'social' they will be set receptability random-float 1 ;;Placeholder for algorithm where turtles decide how receptive to other turtles they will be if outreach <= pcomms [create-link-with max-one-of other turtles [receptability]] ;;Based on pcomms; agents link with other agents with high communicability ] end to calculate-bargain-threshold ;;Agents decide how much they will risk in bargaining ask turtles [ let risk-percentage random-float 1 ;;How risk averse the agent is; the higher the number the greater the risk tolerance set bargain-threshold (bank * risk-percentage) ;;Percentage of bank an agent is likely to risk in bargaining ] end to bargain ask turtles with [any? link-neighbors = true] [ set min-profit (bank / .25) ;;Minimum profit an agent will accept in negociation set offer (bargain-threshold / 2) ;;Set amount an agent is going to offer other agents set raise-increment ((offer / 2) + ticks) ;;Set increment to raise slowly ifelse agreed? = false [ ifelse max [offer] of link-neighbors < min-profit ;;Agents compare their neighbors offer to their own min-profit acceptable and either agree, ... [ask link-neighbors [set offer offer + raise-increment set bank bank - offer]] [set agreed? true] ] ;;...or ask their neighbor to raise until agent agrees... [ die ] ;;...then are removed from the network ] end to fold ;;Remove a player if they... ask turtles [ if size < 1 [die] ;;...go broke, ... if agreed? = true [die] ;;...agreed to a bargain, or... if link-neighbors = nobody [die] ;;...are not in the network. ] end to layout ask turtles [ layout-spring turtles links 0.2 5 1 ] display end to-report count-within-cycles ;;Placeholder for a procedure where variables within the cycles are recorded report median [outreach] of turtles end
There is only one version of this model, created almost 9 years ago by John Margeson.
Attached files
File | Type | Description | Last updated | |
---|---|---|---|---|
Network Exchange Theory.png | preview | Preview for 'Network Exchange Theory' | almost 9 years ago, by John Margeson | Download |
This model does not have any ancestors.
This model does not have any descendants.