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Found 18 papers, 1 papers with code
Measuring unequal distribution of pandemic severity across census years, variants of concern and interventions
However, a systematic analysis and modelling of the combined effects of different viral lineages and complex intervention policies remains a challenge.
Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing
Our study delineated distinct phases of the Omicron-associated pandemic stage, and retrospectively quantified the adoption of social distancing measures, fluctuating over different time periods in response to the observable incidence dynamics.
Genome-wide networks reveal emergence of epidemic strains of Salmonella Enteritidis
Results: Outbreak isolates were identifiable as distinct components on the MLVA and SNP networks.
The effects of local homogeneity assumptions in metapopulation models of infectious disease
While compartmental models can be structured to separate distinct sectors of a population, they are conceptually distinct from individual-based models in which population structure emerges from micro-scale interactions.
Simulating transmission scenarios of the Delta variant of SARS-CoV-2 in Australia
An outbreak of the Delta (B. 1. 617. 2) variant of SARS-CoV-2 that began around mid-June 2021 in Sydney, Australia, quickly developed into a nation-wide epidemic.
Bounded rationality for relaxing best response and mutual consistency: The Quantal Hierarchy model of decision-making
We demonstrate the effectiveness of the Quantal Hierarchy model in several canonical economic games, {both simultaneous and sequential}, using out-of-sample modelling.
How will mass-vaccination change COVID-19 lockdown requirements in Australia?
For realistic scenarios in which herd immunity is not achieved, we simulate the effects of mass-vaccination on epidemic growth rate, and investigate the requirements of lockdown measures applied to curb subsequent outbreaks.
A maximum entropy model of bounded rational decision-making with prior beliefs and market feedback
Specifically, it allowed for the separation of past beliefs and utility maximisation behaviour of the agent as well as the analysis into the evolution of agent beliefs.
Beyond COVID-19: Network science and sustainable exit strategies
On May $28^{th}$ and $29^{th}$, a two day workshop was held virtually, facilitated by the Beyond Center at ASU and Moogsoft Inc.
Physics and Society
The impact of social influence in Australian real-estate: market forecasting with a spatial agent-based model
Housing markets are inherently spatial, yet many existing models fail to capture this spatial dimension.
An Ansatz for computational undecidability in RNA automata
Limited to these operations, we construct RNA automata of increasing complexity; from the Finite Automaton (RNA-FA) to the Turing Machine equivalent 2-stack PDA (RNA-2PDA) and the universal RNA-UPDA.
Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model
The agents' behavior is compatible with economic rationality, with the trend-following behavior found to be essential in replicating market dynamics.
Modelling transmission and control of the COVID-19 pandemic in Australia
We then apply the model to compare several intervention strategies, including restrictions on international air travel, case isolation, social distancing with varying levels of compliance, and school closures.
Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing
Fractals2019 started as a new experimental entry in the RoboCup Soccer 2D Simulation League, based on Gliders2d code base, and advanced to become a RoboCup-2019 champion.
Inferring Coupling of Distributed Dynamical Systems via Transfer Entropy
In this work, we are interested in structure learning for a set of spatially distributed dynamical systems, where individual subsystems are coupled via latent variables and observed through a filter.
An Information Criterion for Inferring Coupling in Distributed Dynamical Systems
The behaviour of many real-world phenomena can be modelled by nonlinear dynamical systems whereby a latent system state is observed through a filter.
Information Transfer in Swarms with Leaders
Depending upon the leadership model, leaders can use their external information either all the time or in response to local conditions [Couzin et al. 2005; Sun et al. 2013].
Simulation leagues: Analysis of competition formats
A proposed new competition format is found to reduce variation from the resultant statistically significant team performance rankings by 75% and 67%, when compared to the actual competition results from RoboCup 2012 and 2013 respectively.
