Group formation on a small-world: experiment and modelling
arXiv:1803.01085 · doi:10.1098/rsif.2018.0814
Abstract
As a step towards studying human-agent collectives we conduct an online game with human participants cooperating on a network. The game is presented in the context of achieving group formation through local coordination. The players set initially to a small world network with limited information on the location of other players, coordinate their movements to arrange themselves into groups. To understand the decision making process we construct a data-driven model of agents based on probability matching. The model allows us to gather insight into the nature and degree of rationality employed by the human players. By varying the parameters in agent based simulations we are able to benchmark the human behaviour. We observe that while the players utilize the neighbourhood information in limited capacity, the perception of risk is optimal. We also find that for certain parameter ranges the agents are able to act more efficiently when compared to the human players. This approach would allow us to simulate the collective dynamics in games with agents having varying strategies playing alongside human proxies.
arXiv comment23 pages, 9 figures
References in corpus (13)
- Community structure in social and biological networks
- Benchmark graphs for testing community detection algorithms
- Coalitional Game Theory for Communication Networks: A Tutorial
- The outbreak of cooperation among success-driven individuals under noisy conditions
- Cooperation and Contagion in Web-Based, Networked Public Goods Experiments
- The Spontaneous Emergence of Conventions: An Experimental Study of Cultural Evolution
- Cooperating with Machines
- A common rule for decision-making in animal collectives across species
- Modeling the emergence of universality in color naming patterns
- Communities, Knowledge Creation, and Information Diffusion
- Matching games with partial information
- Jigsaw percolation: What social networks can collaboratively solve a puzzle?
- Modeling Human Ad Hoc Coordination