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Evolution as a Tool for Understanding and Designing Collaborative Systems Wilfried Elmenreich Mobile Systems Group/Lakeside Labs Institute for Networked and Embedded Systems Alpen-Adria Universität Klagenfurt
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cooperation Theory ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Application Examples ,[object Object],[object Object],[object Object],[object Object],[object Object],Source: Wikimedia
Prisoner‘s Dilemma ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],R,R T,S S,T P,P
Prisoner‘s Dilemma Strategies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Public Goods Game ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Some questions ,[object Object],[object Object],[object Object],[object Object]
The Evolutionary Approach ,[object Object],[object Object],[object Object]
Individual selection based on individual fitness ,[object Object],[object Object],[object Object],A A A A A S S S S S S S S
Individual selection based on group fitness ,[object Object],A S A S S S A S A S S S S S S
Group selection based on group fitness ,[object Object],A S A S S S A S A A S A A S A
Kin selection ,[object Object],[object Object],[object Object]
The ongoing discussion:  Group vs. Kin selection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Searching for the Rules ,[object Object],[object Object],[object Object],[object Object],System model Goals (fitness function) Simulation  of game Explore solutions Evaluate & Iterate Analyze results
Evolutionary Algorithm
Agent behavior to be evolved ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Agent Control System „Agent‘s Brain“
Artificial Neural Networks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Evolving Neural Networks 3.2 -1.2 3.2 3.2 -0.1 -4.2 0.2 0.0 3.5 -1.2 3.2 3.2 -0.1 -4.2 0.2 0.0 Mutation 0.0 -1.2 1.2 3.2 -0.1 1.2 1.2 0.0 3.5 2.2 3.2 3.2 -0.1 -4.2 0.2 0.5 Recombination 3.2 -1.2 3.2 3.2 -0.1 -4.2 0.2 0.0
A Framework for Evolutionary Design ,[object Object],[object Object],[object Object]
Framework for Evolutionary Design ,[object Object],[object Object],[object Object],[object Object]
Giving FREVO a Problem ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Evolving Team Play in Robot Soccer ,[object Object],[object Object],[object Object],[object Object],[object Object]
Modeling of individual soccer players
Agent I/O by example of an ANN
Composite fitness function
Results (movie) ,[object Object]
Evolution of cooperative behavior
Evolution of cooperative behavior ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Freerider behavior evolves
A synergy effect ,[object Object],[object Object],[object Object],[object Object]
Public Goods Game with  Synergy Model ,[object Object]
Cooperation evolves in the long term ,[object Object],[object Object]
Not the end of the story… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Visit us ,[object Object],[object Object],[object Object]

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Evolution as a Tool for Understanding and Designing Collaborative Systems