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GETTING RECOMMENDATION IS NOT ALWAYS BETTER IN ITERATED PRISONER’S DILEMMA
GETTING RECOMMENDATION IS NOT ALWAYS BETTER IN ITERATED PRISONER’S DILEMMA
- Source :
- Advances in Complex Systems. 23:2050013
- Publication Year :
- 2020
- Publisher :
- World Scientific Pub Co Pte Lt, 2020.
-
Abstract
- We present an extended version of the Iterated Prisoner’s Dilemma game in which agents with limited memory receive recommendations about the unknown opponents to decide whether to play with. Since agents can receive more than one recommendation about the same opponent, they have to evaluate the recommendations according to their disposition such as optimist, pessimist, or realist. They keep their first hand experience in their memory. Since agents have limited memory, they have to use different forgetting strategies. Our results show that getting recommendations does not always perform better. With the support of recommendation, cooperators can beat defectors. We observe that realist performs the best and optimist the worse.
- Subjects :
- Forgetting
Computer science
Multi-agent system
02 engineering and technology
Prisoner's dilemma
ComputingMethodologies_ARTIFICIALINTELLIGENCE
01 natural sciences
Dilemma
Control and Systems Engineering
Iterated function
020204 information systems
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
010306 general physics
Mathematical economics
Subjects
Details
- ISSN :
- 17936802 and 02195259
- Volume :
- 23
- Database :
- OpenAIRE
- Journal :
- Advances in Complex Systems
- Accession number :
- edsair.doi...........45ad209277487e71a294e37d31aa6733
- Full Text :
- https://doi.org/10.1142/s0219525920500137