Coevolutionary games - a mini review

Prevalence of cooperation within groups of selfish individuals is puzzling in that it contradicts with the basic premise of natural selection. Favoring players with higher fitness, the latter is key for understanding the challenges faced by cooperators when competing with defectors. Evolutionary game theory provides a competent theoretical framework for addressing the subtleties of cooperation in such situations, which are known as social dilemmas. Recent advances point towards the fact that the evolution of strategies alone may be insufficient to fully exploit the benefits offered by cooperative behavior. Indeed, while spatial structure and heterogeneity, for example, have been recognized as potent promoters of cooperation, coevolutionary rules can extend the potentials of such entities further, and even more importantly, lead to the understanding of their emergence. The introduction of coevolutionary rules to evolutionary games implies, that besides the evolution of strategies, another property may simultaneously be subject to evolution as well. Coevolutionary rules may affect the interaction network, the reproduction capability of players, their reputation, mobility or age. Here we review recent works on evolutionary games incorporating coevolutionary rules, as well as give a didactic description of potential pitfalls and misconceptions associated with the subject. In addition, we briefly outline directions for future research that we feel are promising, thereby particularly focusing on dynamical effects of coevolutionary rules on the evolution of cooperation, which are still widely open to research and thus hold promise of exciting new discoveries.Comment: 24 two-column pages, 10 figures; accepted for publication in BioSystem

WHICH CONCEPTUAL FOUNDATIONS FOR ENVIRONMENTAL POLICIES? AN INSTITUTIONAL AND EVOLUTIONARY FRAMEWORK OF ECONOMIC CHANGE

This paper draws on institutional and evolutionary economics and contributes to an approach to environmental policy which diverges from mainstream prescriptions. The 'socio-technical system' is the core concept: this is a complex made of co-evolving institutions, technologies, markets and actors that fulfils an overall societal need (such as housing, production, mobility, etc.). A systemic and dynamic analysis of those structural changes which are needed to create more sustainable socio-technical systems is provided; actors – and their ability to influence politics and policy – are explicitly taken into consideration. Unsustainable socio-technical systems feature a relevant resistance to change, because they are embedded in the very structure of our society and because of the conservative action of dominant stakeholders; this is why no environmental policy will be effective unless it aims at 'unlocking' our societies from their dominance. But also a constructive side of environmental policy is needed in order to establish new and more sustainable socio-technical systems; consistently, environmental policy is viewed as a combination of actions that can trigger, make viable and align those institutional, technological and economic changes which are needed to reach sustainability. Again, actors (for change) are at the heart of this vision of environmental policy: as subject, because the creation of new and sustainable socio-technical systems is made possible by (coalitions of) actors for change; as object, because environmental policy – to be effective – must actively support the empowerment, legitimation and social networking of such coalitions. A 'chicken and egg' problem remains: who comes first? Actors for change advocating policies for sustainability or policies for sustainability supporting actors for change?

Which conceptual foundations for environmental policies? An institutional and evolutionary framework of economic change

This paper draws on institutional and evolutionary economics and contributes to an approach to environmental policy which diverges from mainstream prescriptions. The 'socio-technical system' is the core concept: this is a complex made of co-evolving institutions, technologies, markets and actors that fulfils an overall societal need (such as housing, production, mobility, etc.). A systemic and dynamic analysis of those structural changes which are needed to create more sustainable socio-technical systems is provided; actors – and their ability to influence politics and policy – are explicitly taken into consideration. Unsustainable socio-technical systems feature a relevant resistance to change, because they are embedded in the very structure of our society and because of the conservative action of dominant stakeholders; this is why no environmental policy will be effective unless it aims at 'unlocking' our societies from their dominance. But also a constructive side of environmental policy is needed in order to establish new and more sustainable socio-technical systems; consistently, environmental policy is viewed as a combination of actions that can trigger, make viable and align those institutional, technological and economic changes which are needed to reach sustainability. Again, actors (for change) are at the heart of this vision of environmental policy: as subject, because the creation of new and sustainable socio-technical systems is made possible by (coalitions of) actors for change; as object, because environmental policy – to be effective – must actively support the empowerment, legitimation and social networking of such coalitions. A ‘chicken and egg’ problem remains: who comes first? Actors for change advocating policies for sustainability or policies for sustainability supporting actors for change?Environmental policy; Economic dynamics; Institutional economics; Evolutionary economics; Socio-technical systems

Models in evolutionary economics and environmental policy: Towards an evolutionary environmental economics

In this paper we review evolutionary economic modelling in relation to environmental policy. We discuss three areas in which evolutionary economic models have a particularly high added value for environmental policy-making: the double externality problem, technological transitions and consumer demand. We explore the possibilities to apply evolutionary economic models in environmental policy assessment, including the opportunities for making policy-making endogenous to environmental innovation. We end with a critical discussion of the challenges that remain.

Coupled effects of local movement and global interaction on contagion

By incorporating segregated spatial domain and individual-based linkage into the SIS (susceptible-infected-susceptible) model, we investigate the coupled effects of random walk and intragroup interaction on contagion. Compared with the situation where only local movement or individual-based linkage exists, the coexistence of them leads to a wider spread of infectious disease. The roles of narrowing segregated spatial domain and reducing mobility in epidemic control are checked, these two measures are found to be conducive to curbing the spread of infectious disease. Considering heterogeneous time scales between local movement and global interaction, a log-log relation between the change in the number of infected individuals and the timescale $\tau$ is found. A theoretical analysis indicates that the evolutionary dynamics in the present model is related to the encounter probability and the encounter time. A functional relation between the epidemic threshold and the ratio of shortcuts, and a functional relation between the encounter time and the timescale $\tau$ are found

From sparse to dense and from assortative to disassortative in online social networks

Inspired by the analysis of several empirical online social networks, we propose a simple reaction-diffusion-like coevolving model, in which individuals are activated to create links based on their states, influenced by local dynamics and their own intention. It is shown that the model can reproduce the remarkable properties observed in empirical online social networks; in particular, the assortative coefficients are neutral or negative, and the power law exponents are smaller than 2. Moreover, we demonstrate that, under appropriate conditions, the model network naturally makes transition(s) from assortative to disassortative, and from sparse to dense in their characteristics. The model is useful in understanding the formation and evolution of online social networks.Comment: 10 pages, 7 figures and 2 table

Transitions as a coevolutionary process: The urban emergence of electric vehicle inventions

This paper combines a multi-sectoral approach with a perspective on the geography of transitions. The concept of coevolution is used to bridge these contributions as it allows to see mutual influences and adaptation between sectors while acknowledging spatial embeddedness and its economic, institutional and social aspects. The argument is discussed using the case of the transition to Electric Vehicles (EVs) and the connections between three technologies: EV, battery, and smart grid. Patent citations are used to construct three main paths allowing to geolocate key inventions and to elaborate on the role of cities in supporting knowledge recombination. The case study suggests that a coevolutionary perspective can contribute to understanding the geography of transitions in three ways: by relating emerging socio-technical configurations to changed power relations and opportunities along the value chain, by exposing the spatial embeddedness of interdependent sectors and by clarifying the role of actors and networks