A Dual Phase Evolution Model of Adaptive Radiation in Landscapes

Paperin, Greg; Sadedin, Suzanne; Leishman, Tania Gaye

doi:10.1007/978-3-540-76931-6_12

Cited by 8 publications

(6 citation statements)

References 28 publications

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“…The above process has been exemplified in a simulation model of adaptive radiation in landscapes [35]: in the model, organisms normally exist within a connected landscape where selection maintains a stable composition. Intermittent disturbances disrupt landscape connectivity, fragment populations and free-up areas of empty space.…”

Section: Sustained Diversity and Perpetual Noveltymentioning

confidence: 99%

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Dual-phase evolution in complex adaptive systems

Paperin

Green

Sadedin

2010

J. R. Soc. Interface.

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Understanding the origins of complexity is a key challenge in many sciences. Although networks are known to underlie most systems, showing how they contribute to well-known phenomena remains an issue. Here, we show that recurrent phase transitions in network connectivity underlie emergent phenomena in many systems. We identify properties that are typical of systems in different connectivity phases, as well as characteristics commonly associated with the phase transitions. We synthesize these common features into a common framework, which we term dual-phase evolution (DPE). Using this framework, we review the literature from several disciplines to show that recurrent connectivity phase transitions underlie the complex properties of many biological, physical and human systems. We argue that the DPE framework helps to explain many complex phenomena, including perpetual novelty, modularity, scale-free networks and criticality. Our review concludes with a discussion of the way DPE relates to other frameworks, in particular, self-organized criticality and the adaptive cycle.

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Section: Sustained Diversity and Perpetual Noveltymentioning

confidence: 99%

“…For instance, at least two major networks can be identified for plant evolution in landscapes [35]: one is a network of reproductive interactions between patches of interbreeding plants. It facilitates gene flow and acts against adaptive radiation.…”

Section: Poorly Connected Phasementioning

confidence: 99%

Dual-phase evolution in complex adaptive systems

Paperin

Green

Sadedin

2010

J. R. Soc. Interface.

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“…Systems in the connected phase, in contrast, exhibit less local variability, but significant variation on all scales in the sense that responses to external stimuli are generally hard to predict. The rich connectivity allows perturbations to propagate far, affecting many system parts (Paperin et al, 2007).…”

Section: The Dpe Frameworkmentioning

confidence: 99%

The Dual Phase Evolution Framework for Understanding Evolutionary Dynamics in Complex Adaptive Systems

Paperin

Sadedin²

2009

Proceedings of the International Joint Conference on Computational Intelligence

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Evidence from several fields suggests that dual phase evolution (DPE) may account for distinctive features associated with complex adaptive systems. Here, we review empirical and theoretical evidence for DPE in natural systems and examine the relationship of DPE to self-organized criticality and adaptive cycles. A general model for DPE in networks is outlined, with preliminary data illustrating the emergence of phase changes. DUAL PHASE EVOLUTION ExamplesEvidence from several fields suggests that phase changes in landscape connectivity form a powerful agent of evolutionary change and innovation. Disasters often mediate long-term changes in the composition of ecological communities, with 135

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“…Taking recent research findings into consideration, CMET is designed as a two-tier architecture. Research on moral reasoning and process changes suggest that we reason from a dual-level paradigm that of a general-purpose socio-cultural level; and a specific-experience paradigm or a two-tiered cognitive architecture [11]; (See also [36,72]). In many real world contexts, we are confronted with notions of moral intuitions, moral judgment, moral justifications and moral actions where each of these notions may have different roles and impacts on the reasoning process.…”

Section: Cmet -A Two-tier Architecturementioning

confidence: 99%

Review of Trust and Machine Ethics Research: Towards A Bio-Inspired Computational Model of Ethical Trust (CMET)

Lim¹,

Stocker²,

Larkin³

2008

Proceedings of the Third International Conference on Bio-Inspired Models of Network Information and Computing Systems (Bionetic

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Recent advances in the fields of robotics, cyborg development, moral psychology, trust, multi agent-based systems and socionics have raised the need for a better understanding of ethics, moral reasoning, judgment and decision-making within the system of man and machines. Here we seek to understand key research questions concerning the interplay of ethical trust at the individual level and the social moral norms at the collective end. We review salient works in the fields of trust and machine ethics research, underscore the importance and the need for a deeper understanding of ethical trust at the individual level and the development of collective social moral norms. Drawing upon the recent findings from neural sciences on mirror-neuron system (MNS) and social cognition, we present a bio-inspired Computational Model of Ethical Trust (CMET) to allow investigations of the interplay of ethical trust and social moral norms.

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A Dual Phase Evolution Model of Adaptive Radiation in Landscapes

Cited by 8 publications

References 28 publications

Dual-phase evolution in complex adaptive systems

Dual-phase evolution in complex adaptive systems

The Dual Phase Evolution Framework for Understanding Evolutionary Dynamics in Complex Adaptive Systems

Review of Trust and Machine Ethics Research: Towards A Bio-Inspired Computational Model of Ethical Trust (CMET)

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