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Cooperation in a Competitive Environment. Supervisee: John Richter Supervisor: Philip Sterne. Pre-Contents Explanation. The manner in which this presentation shall be given shall adhere to the well-known Scientific Method As such, it may differ from the presentation norms. Contents. - PowerPoint PPT Presentation
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Cooperation in a Competitive
Environment
Supervisee: John Richter
Supervisor: Philip Sterne
Pre-Contents Explanation
The manner in which this presentation shall be given shall adhere to the well-known Scientific Method
As such, it may differ from the presentation norms
Contents
Section -1: Explanation of Scientific Method use
Section 0: Contents Section 1: Characterization Section 2: Hypothesis Section 3: Prediction Section 4: Experimentation Section 5: Conclusions
Section 1: Characterization
This, according to Wikipedia.org, can be defined as “a careful characterization of the subject of the investigation”
Characterization: The act of describing distinctive characteristics or essential features
Section 1: Characterization
To characterize: The agents
Making use of a hybridisation of ANNs, GAs, and RL The game
Greediness pays, but cooperation is sustainable
Section 1: Characterization
Derived Characterization: Game Rules:
Two kinds of food Specialization
Agent Rules: Donations, generosity Deception and trust
Section 2: Hypothesis
This researcher hypothesizes that despite independence and greed being possible, a society of sufficiently intelligent agents programmed with simple rules will display cooperation as a form of emergent behaviour.
Section 3: Prediction
This researcher predicts: Emergent cooperation
See Reynolds, C. Boids. http://www.red3d.com/cwr/boids/index.html
‘Sub-cultures’ Early high-death rates, followed by long-term
stability Eventual negligent amounts of deception ‘Hunters’ and ‘Gatherers’ forming regular trade
partnerships
Section 4: Experimentation
The present progress extends mostly into this phase
Progress into components: ANN - 99.9% GA - 100% RL - 0%
Other (Hybrid, etc.) - 0%
Section 5: Conclusions
Watch this space, and final write-up for more!
Final Notes
This research falls into the category of MAS (Multi-Agent Simulation), and more specifically, MASS (Multi-Agent Social Simulation).
One of the chief authors in this field, which this researcher highly recommends reading, is Cristiano Castelfranchi
Questions
For all those who would like an alternative to questions, the following haiku has been selected as one of particular quality. This researcher hopes you enjoy it:
In the falling snow
A laughing boy holds out his palms
Until they are white