David Green

Peer-to-Peer Group k-Nearest Neighbours in Mobile Ad-Hoc Networks

Publisher: IEEE

Date: 12-2013

DOI: 10.1109/ICPADS.2013.34

Self-organization

Publisher: Elsevier

Date: 2008

DOI: 10.1016/B978-008045405-4.00696-0

Simulating the spatial and temporal dynamics of landscapes using generic and complex models

Publisher: Elsevier BV

Date: 06-2005

DOI: 10.1016/J.ECOCOM.2004.11.005

The role of translocation and selection in the emergence of genetic clusters and modules

Publisher: MIT Press - Journals

Date: 07-2007

DOI: 10.1162/ARTL.2007.13.3.249

Abstract: Biomolecular studies point increasingly to the importance of modularity in the organization of the genome. Processes such as the maintenance of metabolism are controlled by suites of genes that act as distinct, self-contained units, or modules. One effect is to promote stability of inherited characters. Despite the obvious importance of genetic modules, the mechanisms by which they form and persist are not understood. One clue is that functionally related genes tend to cluster together. Here we show that genetic translocation, recombination, and natural selection play a central role in this process. We distill the question of emerging genetic modularity into three simulation experiments that show: (1) a tendency, under natural selection, for essential genes to co-locate on the same chromosome and to settle in fixed loci (2) that genes associated with a particular function tend to form functional clusters and (3) that genes within a functional cluster tend to become arranged in transcription order. The results also imply that high proportions of junk DNA are essential to the process.

Shapes of simulated fires in discrete fuels

Publisher: Elsevier BV

Date: 10-1983

DOI: 10.1016/0304-3800(83)90029-7

Interactions matter - Complexity in landscapes and ecosystems

Publisher: Elsevier BV

Date: 06-2005

DOI: 10.1016/J.ECOCOM.2004.11.006

Comparative Study of Multivariate Classification Methods Using Microarray Gene Expression Data for BRCA1/BRCA2 Cancer Tumors

Publisher: IEEE

Date: 2005

DOI: 10.1109/ICITA.2005.100

Dual phase evolution and self-organisation in networks

Publisher: Springer Berlin Heidelberg

Date: 2008

DOI: 10.1007/978-3-540-89694-4_58

Dynamic Clusters Graph for Detecting Moving Targets Using WSNs

Publisher: IEEE

Date: 09-2012

DOI: 10.1109/VTCFALL.2012.6399265

Separated and overlapping community detection in complex networks using multiobjective Evolutionary Algorithms

Publisher: IEEE

Date: 07-2010

DOI: 10.1109/CEC.2010.5586522

Interpreting the 2011 London riots from Twitter metadata

Publisher: IEEE

Date: 11-2012

DOI: 10.1109/ISDA.2012.6416660

Dual-phase evolution in complex adaptive systems

Publisher: The Royal Society

Date: 19-01-2011

DOI: 10.1098/RSIF.2010.0719

Abstract: 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.

Modularity and complex adaptive systems

Publisher: IGI Global

Date: 2008

DOI: 10.4018/978-1-59904-717-1.CH003

Abstract: Modularity is ubiquitous in complex adaptive systems. Modules are clusters of components that interact with their environment as a single unit. They provide the most widespread means of coping with complexity, in both natural and artificial systems. When modules occur at several different levels, they form a hierarchy. The effects of modules and hierarchies can be understood using network theory, which makes predictions about certain properties of systems such as the effects of critical phase changes in connectivity. Modular and hierarchic structures simplify complex systems by reducing long-range connections, thus constraining groups of components to act as a single component. In both plants and animals, the organisation of development includes modules, such as branches and organs. In artificial systems, modularity is used to simplify design, provide fault tolerance, and solve difficult problems by decomposition.

Molecular dynamics extended for fluctuating networks: Application to water

Publisher: Wiley

Date: 27-03-2012

DOI: 10.1002/JCC.22967

Abstract: Molecular simulation models are increasingly important tools in efforts to understand the role that water plays in biochemical processes. However, existing models of water have limited capacity to deal with the characteristics of hydrogen bond networks. This article proposes a new fluctuating network (FN) algorithm as an extension of the standard molecular dynamics algorithm. The new algorithm allows for the simulation of a molecular system based on an underlying network, such as the hydrogen bond network in water. This algorithm distinguishes strong from weak network connections, applying a potential that best describes the specific connection behavior. We model liquid water with this new technique using a single-site, isotropic, short-range potential. We successfully reproduce liquid water's signature molecular spacing (as represented by the radial distribution function) and characterize its dynamic properties including the exponential hydrogen bond lifetime distribution, diffusion rate, and average hydrogen bonds per molecule. The FN algorithm allows exploration of the behavior of networked systems where explicit coordination limits are required. As such it could also be used to model covalent interactions, reaction dynamics, and applied to simulation of cellular networks.

An adaptive protocol model for IEEE 802.11 wireless LANs

Publisher: Elsevier BV

Date: 07-2004

DOI: 10.1016/J.COMCOM.2004.02.022

Self-adaptive modelling algorithms

Publisher: Elsevier BV

Date: 02-1988

DOI: 10.1016/0378-4754(88)90101-2

Ordered asynchronous processes in multi-agent systems

Publisher: Elsevier BV

Date: 05-2005

DOI: 10.1016/J.PHYSD.2005.04.005

Joint optimization of number and allocation of clusters for wireless sensor networks

Publisher: IEEE

Date: 06-2012

DOI: 10.1109/ICC.2012.6364567

Motif Difficulty (MD): A Predictive Measure of Problem Difficulty for Evolutionary Algorithms Using Network Motifs

Publisher: MIT Press - Journals

Date: 09-2012

DOI: 10.1162/EVCO_A_00045

Abstract: One of the major challenges in the field of evolutionary algorithms (EAs) is to characterise which kinds of problems are easy and which are not. Researchers have been attracted to predict the behaviour of EAs in different domains. We introduce fitness landscape networks (FLNs) that are formed using operators satisfying specific conditions and define a new predictive measure that we call motif difficulty (MD) for comparison-based EAs. Because it is impractical to exhaustively search the whole network, we propose a s ling technique for calculating an approximate MD measure. Extensive experiments on binary search spaces are conducted to show both the advantages and limitations of MD. Multidimensional knapsack problems (MKPs) are also used to validate the performance of approximate MD on FLNs with different topologies. The effect of two representations, namely binary and permutation, on the difficulty of MKPs is analysed.

Robustness analysis of electricity networks against failure or attack: The case of the Australian National Electricity Market (NEM)

Publisher: Elsevier BV

Date: 07-2023

DOI: 10.1016/J.IJCIP.2023.100600

Fire shapes and the adequacy of fire-spread models

Publisher: Elsevier BV

Date: 10-1983

DOI: 10.1016/0304-3800(83)90030-3

Bichromatic Reverse Nearest Neighbors in mobile peer-to-peer networks

Publisher: IEEE

Date: 03-2013

DOI: 10.1109/PERCOM.2013.6526727

Fitness landscapes in individual-based simulation models of adaptive radiation

Publisher: AIP

Date: 2007

DOI: 10.1063/1.2816631

Complexity and human society

Publisher: Jenny Stanford Publishing

Date: 07-02-2014

DOI: 10.1201/B16448-5

On graphs, networks and social groups

Publisher: Jenny Stanford Publishing

Date: 07-02-2014

DOI: 10.1201/B16448-3

Dynamic sensors collaboration to balance the accuracy-lifetime trade-off in multiple-target tracking

Publisher: IEEE

Date: 09-2012

DOI: 10.1109/PIMRC.2012.6362870

Cellular automata models in biology

Publisher: Elsevier BV

Date: 1990

DOI: 10.1016/0895-7177(90)90010-K

A simulation study of crown of thorns starfish outbreaks on the great barrier reef

Publisher: Elsevier BV

Date: 02-1988

DOI: 10.1016/0378-4754(88)90117-6

The emergence of social consensus in boolean networks

Publisher: IEEE

Date: 04-2007

DOI: 10.1109/ALIFE.2007.367823

The nature of nature

Publisher: Springer International Publishing

Date: 2017

DOI: 10.1007/978-3-319-50920-4_1

Virtual ecologies and environments

Publisher: Oxford University Press

Date: 16-12-2014

DOI: 10.1093/OXFORDHB/9780199826162.013.031

A generic approach to landscape modelling

Publisher: Elsevier BV

Date: 04-1990

DOI: 10.1016/0378-4754(90)90245-E

Computing and Complexity - Networks, Nature and Virtual Worlds

Publisher: Elsevier

Date: 2011

DOI: 10.1016/B978-0-444-52076-0.50004-3

Of ants and men: The unexpected side effects of complexity in society

Publisher: Springer Berlin Heidelberg

Date: 2014

DOI: 10.1007/978-3-642-55230-4

Parallel computing in ecological simulation

Publisher: Elsevier BV

Date: 04-1990

DOI: 10.1016/0378-4754(90)90247-G

Simulated effects of fire, dispersal and spatial pattern on competition within forest mosaics

Publisher: Springer Science and Business Media LLC

Date: 08-1989

DOI: 10.1007/BF00045027

Simulating spatial patterns in forest ecosystems

Publisher: Elsevier BV

Date: 04-1985

DOI: 10.1016/0378-4754(85)90039-4

Pluralistic Ignorance: A Trade-Off Between Group-Conformity and Cognitive Dissonance

Publisher: Springer International Publishing

Date: 2019

DOI: 10.1007/978-3-030-36711-4_58

Local-Global Interaction and the Emergence of Scale-Free Networks with Community Structures

Publisher: MIT Press

Date: 10-2011

DOI: 10.1162/ARTL_A_00038

Abstract: Understanding complex networks in the real world is a nontrivial task. In the study of community structures we normally encounter several ex les of these networks, which makes any statistical inferencing a challenging endeavor. Researchers resort to computer-generated networks that resemble networks encountered in the real world as a means to generate many networks with different sizes, while maintaining the real-world characteristics of interest. The generation of networks that resemble the real world turns out in itself to be a complex search problem. We present a new rewiring algorithm for the generation of networks with unique characteristics that combine the scale-free effects and community structures encountered in the real world. The algorithm is inspired by social interactions in the real world, whereby people tend to connect locally while occasionally they connect globally. This local-global coupling turns out to be a powerful characteristics that is required for our proposed rewiring algorithm to generate networks with community structures, power law distributions both in degree and in community size, positive assortative mixing by degree, and the rich-club phenomenon.

Pluralistic ignorance

Publisher: IEEE

Date: 07-2016

DOI: 10.1109/IJCNN.2016.7727896

Continental-scale interactions with temporary resources may explain the paradox of large populations of desert waterbirds in Australia

Publisher: Springer Science and Business Media LLC

Date: 2001

DOI: 10.1023/A:1013184512541

Elements of a network theory of complex adaptive systems

Publisher: Inderscience Publishers

Date: 2011

DOI: 10.1504/IJBIC.2011.040314

Dual Phase Evolution

Publisher: Springer New York

Date: 2014

DOI: 10.1007/978-1-4419-8423-4

Natural computation: Evolving solutions to complex problems

Publisher: Cambridge University Press

Date: 10-11-2011

DOI: 10.1017/CBO9780511980381.019

Sensor selection for tracking multiple groups of targets

Publisher: Elsevier BV

Date: 11-2014

DOI: 10.1016/J.JNCA.2014.07.023

Large-scale socio-demographic pattern discovery on microblog metadata

Publisher: IEEE

Date: 11-2012

DOI: 10.1109/ISDA.2012.6416659

Embodiment of formal languages

Publisher: Elsevier BV

Date: 02-1988

DOI: 10.1016/0378-4754(88)90102-4

Simulating exploration versus exploitation in agent foraging under different environment uncertainties

Publisher: Cambridge University Press (CUP)

Date: 2019

DOI: 10.1017/S0140525X18001954

Abstract: For artificial agents trading off exploration (food seeking) versus (short-term) exploitation (or consumption), our experiments suggest that uncertainty (interpreted information, theoretically) magnifies food seeking. In more uncertain environments, with food distributed uniformly randomly, exploration appears to be beneficial. In contrast, in biassed (less uncertain) environments, with food concentrated in only one part, exploitation appears to be more advantageous. Agents also appear to do better in biassed environments.

Perceptual biases and metacognition and their association with anomalous self experiences in first episode psychosis

Publisher: Elsevier BV

Date: 2020

DOI: 10.1016/J.CONCOG.2019.102847

Abstract: Anomalous self-experiences have been described as a prerequisite for anomalous perceptual experiences. Later, these anomalous perceptual experiences may then be metacognitively appraised as distressing, maintaining these experiences and later leading to anomalous (delusional) beliefs. This model of anomalous events may potentially be driven by perceptual biases and metacognitive deficits. This cross-sectional study explored the association between perceptual biases, metacognition and anomalous self- and perceptual experiences and delusional beliefs in First Episode Psychosis (FEP) and a matched healthy control s le. Fifty-eight in iduals with FEP and seventy-two healthy controls were included in the main analysis. Increased auditory perceptual biases were significantly associated with increased state and trait anomalous self-experiences, in particular alienation from surroundings and emotional numbing. No significant associations were found between metacognitive efficiency and anomalous experiences. These findings may be consistent with the minimal self-disturbance model of schizophrenia spectrum vulnerability, particularly with the hyperreflexivity concept.

Patterns of predictability in coral reef community structure

Publisher: Springer Science and Business Media LLC

Date: 07-1987

DOI: 10.1007/BF00302209

Classifier Fusion Using Dempster-Shafer theory of evidence to Predict Breast Cancer Tumors

Publisher: IEEE

Date: 2006

DOI: 10.1109/TENCON.2006.343718

Landscapes, cataclysms and population explosions

Publisher: Elsevier BV

Date: 1990

DOI: 10.1016/0895-7177(90)90011-B

Self-organization in simulated social networks

Publisher: Springer Berlin Heidelberg

Date: 2009

DOI: 10.1007/978-3-642-02276-0_15

Cigarette smoking and albuminuria are associated with impaired arterial smooth muscle function in patients with type 2 diabetes mellitus: a FIELD substudy

Publisher: Elsevier BV

Date: 11-2014

DOI: 10.1016/J.DIABRES.2014.08.029

Abstract: Impaired arterial function has been implicated in diabetes-related atherosclerosis, but its determinants in high-risk adults have not been well characterised. We investigated factors associated with impaired arterial function in adults with type 2 diabetes. Flow-mediated dilatation (a marker of endothelial function) and dilator response to glyceryl trinitrate (to assess smooth muscle function) of the brachial artery were assessed at baseline in 193 patients with type 2 diabetes from the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study. Traditional risk factors were assessed and a multivariable model was constructed to identify factors independently associated with impaired arterial function. Median age was 64 years (interquartile range, 58-69 61% male) and duration of diabetes was 4 years (interquartile range, 2-9). Flow-mediated dilatation (3.06 ± 0.25%, mean ± SEM) was severely impaired but not significantly associated with other risk factors. Dilator responses to glyceryl trinitrate (10.56 ± 0.52%) were significantly and independently impaired in past and present cigarette smokers (P = 0.005) and in subjects with increased urinary albumin/creatinine ratio (P = 0.01). In adults with type 2 diabetes and known or suspected atherosclerosis, arterial smooth muscle-dependent dilatation was shown to be significantly impaired in cigarette smokers and those with elevated urinary albumin levels.

Peer-to-peer bichromatic reverse nearest neighbours in mobile ad-hoc networks

Publisher: Elsevier BV

Date: 11-2014

DOI: 10.1016/J.JPDC.2014.07.007

Time series and postglacial forest ecology

Publisher: Cambridge University Press (CUP)

Date: 05-1981

DOI: 10.1016/0033-5894(81)90030-2

Abstract: Forest ecology suffers from a lack of long-term community records. Preserved pollen data are richer in such information than is generally realized. By applying suitable statistical techniques to pollen records, one can learn much about competition, succession, and population dynamics in past tree communities. In this study, preserved pollen records from Everitt Lake, Nova Scotia, are analyzed as time series. Time domain studies reveal the post-fire responses of in idual tree taxa. Correlograms yield models of past forest succession patterns. The models explain some effects of changing fire frequency, thus suggesting mechanisms by which fire, competition, and climate combine to produce long-term forest composition changes. Frequency domain studies suggest relationships between disturbance cycles, stand composition, and forest mosaics. Fire frequencies are seen to be highest where fire-dependent species abound and most regular where tree stands have uniform, not mixed, composition.

Interactive simulation of bushfires in heterogeneous fuels

Publisher: Elsevier BV

Date: 1990

DOI: 10.1016/0895-7177(90)90099-9

Monash

Location: Australia

View Organisation

Linkage Projects - Grant ID: LP0212023

Start Date: 2002

End Date: 06-2007

Amount: $202,905.00

Funder: Australian Research Council

Discovery Projects - Grant ID: DP0987832

Start Date: 01-2009

End Date: 06-2012

Amount: $360,000.00

Funder: Australian Research Council

Discovery Projects - Grant ID: DP0451739

Start Date: 01-2004

End Date: 01-2007

Amount: $165,000.00

Funder: Australian Research Council

Discovery Projects - Grant ID: DP0770359

Start Date: 01-2007

End Date: 06-2012

Amount: $678,305.00

Funder: Australian Research Council

Special Research Initiatives - Grant ID: SR0354623

Start Date: 01-2004

End Date: 11-2004

Amount: $20,000.00

Funder: Australian Research Council

Special Research Initiatives - Grant ID: SR0354789

Start Date: 01-2004

End Date: 06-2004

Amount: $10,000.00

Funder: Australian Research Council

Research Networks - Grant ID: RN0459557

Start Date: 12-2004

End Date: 12-2010

Amount: $1,950,000.00

Funder: Australian Research Council

ARC Centres Of Excellence - Grant ID: CE0348249

Start Date: 2003

End Date: 06-2009

Amount: $5,208,295.00

Funder: Australian Research Council

Research Networks - Grant ID: RN0460006

Start Date: 07-2004

End Date: 06-2009

Amount: $1,500,000.00

Funder: Australian Research Council

Special Research Initiatives - Grant ID: SR0354610

Start Date: 12-2003

End Date: 12-2004

Amount: $10,000.00

Funder: Australian Research Council

Special Research Initiatives - Grant ID: SR0354799

Start Date: 01-2004

End Date: 12-2003

Amount: $10,000.00

Funder: Australian Research Council

Special Research Initiatives - Grant ID: SR0567460

Start Date: 10-2005

End Date: 12-2007

Amount: $85,000.00

Funder: Australian Research Council