Evolutionary Games and Statistical Physics of Social Networks
A special issue of Games (ISSN 2073-4336).
Deadline for manuscript submissions: closed (30 November 2016) | Viewed by 62090
Interests: evolutionary game theory; statistical physics; Monte Carlo simulations; phase transitions; social and economic systems
The scientific approach of evolutionary game theory is proved to be prosperous in a broad variety of fields and systems, ranging from the smallest, such as viruses and bacteria, to the largest ones, which are formed by human societies. Importantly, these seemingly very different areas not only employ the original tools founded by mathematicians, but they also provide stimulating ideas to the main theory. In particular, one of our recent understandings was to realize that solutions in spatially structured populations could be significantly different from those we expect based on our experience with random systems. In other words, emerging patterns provide very specific environment for competing strategies, which could alter the final outcome relevantly. This Special Issue is intended to provide examples when network science and applied mathematics meet the concepts of statistical physics to the benefit of the original theory. Interested authors are invited to participate in this thrilling venture.
Prof. Dr. Attila Szolnoki
Manuscript Submission Information
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- social dilemmas
- cyclic dominance
- pattern formation