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20012017
most citedAccelerating, hyper-accelerating, and decelerating probabilistic networks

38 citations · 46 across the 10 of their papers we have counts for

collaborators

10 papers

cs.AI2017

Null Dynamical State Models of Human Cognitive Dysfunction

M. J. Gagen

The hard problem in artificial intelligence asks how the shuffling of syntactical symbols in a program can lead to systems which experience semantics and qualia. We address this qu…

cs.GT2013

Isomorphic Strategy Spaces in Game Theory

Michael J Gagen

This book summarizes ongoing research introducing probability space isomorphic mappings into the strategy spaces of game theory. This approach is motivated by discrepancies between…

cs.GT2012

Using strong isomorphisms to construct game strategy spaces

Michael J. Gagen

When applied to the same game, probability theory and game theory can disagree on calculated values of the Fisher information, the log likelihood function, entropy gradients, the r…

math.OC2006

Variational optimization of probability measure spaces resolves the chain store paradox

Michael J. Gagen, Kae Nemoto

In game theory, players have continuous expected payoff functions and can use fixed point theorems to locate equilibria. This optimization method requires that players adopt a part…

q-bio.MN2005★ 38 cited

Accelerating, hyper-accelerating, and decelerating probabilistic networks

M. J. Gagen, J. S. Mattick

Many growing networks possess accelerating statistics where the number of links added with each new node is an increasing function of network size so the total number of links incr…

nlin.AO2004

Cooperative equilibria in the finite iterated prisoner's dilemma

Kae Nemoto, Michael J Gagen

Nash equilibria are defined using uncorrelated behavioural or mixed joint probability distributions effectively assuming that players of bounded rationality must discard informatio…