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Exploring the Evolution of Complexity in Signaling Networks

Holland, John H. - Santa Fe Institute - 2001

Signaling networks are exemplified by systems as diverse as biological cells, economic markets, and the Web. After a discussion of some general characteristics of signaling networks, this paper explores the adaptive evolution of complexity in a simple model of a signaling network. The paper...

Persistent link: https://www.econbiz.de/10005260376

The Evolution of Evolvability in Genetic Linkage Patterns

Pepper, John W. - Santa Fe Institute - 2002

A number of factors have been proposed that may affect the capacity for an evolutionary system to generate adaptation … clustering of epistatically interacting genes increases the rate of adaptation. Moreover, long-term evolution with inversion can … reorganize linkage patterns from random gene ordering into this more modular organization, thereby facilitating adaptation. These …

Persistent link: https://www.econbiz.de/10005790658

Communication and Cooperation

Miller, John H.; Butts, Carter; Rode, David - Santa Fe Institute - 1998

Communication plays a vital role in the organization and operation of biological, computational, economic, and social systems. Agents often base their behavior on the signals they receive from others and also recognize the importance of the signals they send. Here we develop a framework for...

Persistent link: https://www.econbiz.de/10005790666

Equilibrium Selection in the Stochastic Iterated Prisoner's Dilemma

Bennet, Susan M. - Santa Fe Institute - 1996

Persistent link: https://www.econbiz.de/10005790676

Visualizing Evolutionary Activity of Genotypes

Bedau, Mark A.; Brown, C. Titus - Santa Fe Institute - 1998

We introduce a method for visualizing evolutionary activity of genotypes. Following a proposal of Bedau and Packard[11], we define a genotype's evolutionary activity in terms of the history of its concentration in the evolving population. To visualize this evolutionary activity we graph the...

Persistent link: https://www.econbiz.de/10005790745

A Comparison of Evolutionary Activity in Artificial Evolving Systems and in the Biosphere

Bedau, Mark A.; Snyder, Emile; Brown, C. Titus; … - Santa Fe Institute - 1998

Bedau and Packard [7] devised an approach to quantifying the adaptive phenomena in artificial systems. We use this approach to define two statistics: cumulative evolutionary activity and mean cumulative evolutionary activity. Then we measure the dynamics of cumulative evolutionary activity, mean...

Persistent link: https://www.econbiz.de/10005790928

Individual Adaptation in a Path-Based Simulation of the Freeway Network of Northrhine-Westfalia

Nagel, Kai - Santa Fe Institute - 1997

Traffic simulations are made more realistic by giving individual drivers intentions, i.e., an idea of where they want to go. One possible implementation of this idea is to give each driver an exact pre-computed path, that is, a sequence of roads this driver wants to follow. This paper shows, in...

Persistent link: https://www.econbiz.de/10005790977

Using Microsimulation Feedback for Trip Adaptation for Realistic Traffic in Dallas

Nagel, K.; Barrett, Christopher L. - Santa Fe Institute - 1997

This paper presents a day-to-day re-routing relaxation approach for traffic simulations. Starting from an initial planset for the routes, the route-based microsimulation is exxecuted. The result of the microsimulation is fed into a re-router, which re-routes a certain percentage of all trips....

Persistent link: https://www.econbiz.de/10005837688

Classification of Long-Term Evolutionary Dynamics

Bedau, Mark A.; Snyder, Emile; Packard, Norman H. - Santa Fe Institute - 1998

We present empirical evidence that long-term evolutionary dynamics fall into three distinct classes, depending on whether adaptive evolutionary activity is absent (class 1), bounded (class 2), or unbounded (class 3). These classes are defined using three statistics: diversity, new evolutionary...

Persistent link: https://www.econbiz.de/10005837717