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Akiyama Lab
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A lab that explores how social rules of cooperation emerge, using evolutionary game theory and simulation.
AboutAbout the lab
How do real players actually behave?
The Akiyama Lab analyzes collective phenomena through computer simulation and also conducts behavioral experiments with human participants.
Rather than idealized players with unrealistic computational power, the lab is interested in how players with limited abilities actually behave.
The lab analyzes why cooperative behavior that sacrifices one's own interests has evolved, and how social rules of cooperation form and develop.
The research guidance page states that people interested in agent-based simulation or behavioral experiments with human participants are the intended candidates for the lab.
Key terms
- Evolutionary game theory
- A theory combining evolution theory, learning theory, and game theory. It analyzes situations in which adaptive players come together
- Agent-based simulation
- A method that turns decision-making and the connections among players into programs, and analyzes the social phenomena arising from their interactions
- Dynamical systems games
- Games in which the game itself is described as a dynamical system that changes over time
ResearchResearch themes
The lab analyzes the decision-making of real players, and the social phenomena that arise when players come together, through experiments with human participants, simulation, and evolutionary game theory. It investigates how players who evolve and learn in response to their environment (known as "adaptation") behave within a group.
*Illustrative imageStudying decision-making through experiments with human participants
Participants play network games in a computer room, and the lab analyzes the structure of real players' decision-making. The experimental results are used as feedback to theory.
*Illustrative imageAgent-based simulation
Players' decision-making and the networks among players are implemented as programs, and the social phenomena arising from their interactions are analyzed. This makes it possible to remove restrictions found in standard evolutionary game theory and broaden the scope of analysis.
*Illustrative imageEvolutionary game theory
A theory that combines Darwinian evolution theory, learning theory, and game theory, and analyzes situations in which multiple players adapt to their environment. It deals with topics such as the evolution of cooperative behavior and the dynamics of mutual learning.
*Illustrative imageDynamical systems games
These are games in which the game itself is described as a dynamical system that changes over time. Examples include the development of resource management rules in dynamic environments and the development of cooperation rules in dilemma situations.
MembersFaculty
- ProfessorEizo Akiyama
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Game Theory Strategic Social Alternatives” Pearson Scott Foresman -donated to wikimedia plus my own alterations / Public domain (cropped)
- Studying decision-making through experiments with human participants: “Students working on class assignment in computer lab” Michael Surran / CC BY-SA 2.0 (cropped)
- Agent-based simulation: “Queen Street Mall crowd Queen Street Mall Brisbane P1300780” John Robert McPherson / CC BY-SA 4.0 (cropped)
- Evolutionary game theory: “Chess pieces close up” Aaaatu / CC BY-SA 4.0 (cropped)
- Dynamical systems games: “Fishing boats. Ano Symi harbor, Greece” Ввласенко / CC BY-SA 3.0 (cropped)
- Related lab (澤研究室): “Crowd crossing the street, Hungary 2011” Keymeulen / CC0 (cropped)
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（作道 真理） ): “Singapore Recycling-bins-01” CEphoto, Uwe Aranas / CC BY-SA 3.0 (cropped) - Related lab (有馬澄佳研究室): “002 Production line - car assembly line in General Motors Manufacturing Poland - Gliwice, Poland” Marek Ślusarczyk (Tupungato) Photo portfolio / CC BY 3.0 (cropped)
- Related lab (繆研究室): “Binary-code” Graph+sas / CC BY-SA 4.0 (cropped)
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