Since its inception, ALife has moved from producing large numbers of highly-idealised, theoretical models towards greater integration with empirically collected data. In contrast, demography — the interdisciplinary study of human populations — has been largely following the principles of logical empiricism, with models driven mainly by data, and insufficient attention being paid to theoretical ...

Treatable infectious diseases are a critical challenge for public health. Outreach campaigns can encourage undiagnosed patients to seek treatment but must be carefully targeted to make the most efficient use of limited resources. We present an algorithm to optimally allocate limited outreach resources among demographic groups in the population. The algorithm uses a novel multiagent model of dis...

This paper ―Population Dynamics in Artificial Agent Society‖ broadly covers the change of population in human and agent societies. There are certain causes like Natality, Mortality, and Migration that are responsible for such a change. These causes are referred to as key elements of population dynamics. Moreover a Demographic view of population is provided. To simulate the human society agent-b...

SUMMARY Mobile-agent-based distributed computing is one of the most promising paradigms to support autonomic computing in a large-scale of distributed system with dynamics and diversity: mobile agents traverse the distributed system and carry out a sophisticated task at each node adap-tively. In mobile-agent-based systems, a larger number of agents generally require shorter time to complete the...

An individual-based model which produces non-linear predator-prey dynamics is described. The importance of individual variation to the stability of the population dynamics predicted and the advantages of the individual-based approach to modelling ecological systems are discussed. The individual-based model is compared with the traditional approach of population ecology—the modelling of populati...

Simulation with agent-based models is increasingly used in the study of complex socio-technical systems and in social simulation in general. This paradigm offers a number of attractive features, namely the possibility of modeling emergent phenomena within large populations. As a consequence, often the quantity in need of calibration may be a distribution over the population whose relation with ...

The paper presents an agent based model of the Aedes aegypti mosquito, which considers mosquito population dynamics and a speci c population control strategy, as well the dengue propagation in mosquito (vector) and human (host) populations. More speci cally, this study concerns the impact that the RIDL strategy (Release of Insects carrying a Dominant Lethal gene) has on the infection period amo...

In commercially exploited, long-lived fish species, age structure plays an important role in determining population stability and resilience to human and environmental impacts (Hsieh et al., 2010). Consequences of the reduced abundance in older age classes include increased population variability caused by increases in recruitment variability (Brunel, 2010; Marteinsdottir and Thorarinsson, 1998...

The need to reduce the use of chemical inputs in agricultural ecosystems requires studying integrated ecological processes and developing new tools helping to manage them. In particular, designing landscape management strategies is a new way to improve the efficiency of services provided by biodiversity as biological control or pollination. Individual-based models are useful to better understan...

background: our knowledge regarding the epidemiology of pancreatobiliary cancers in iran is limited. this study presents the first population-based report on pancreatobiliary cancers performed in five provinces of iran. materials andmethods: data used in this study were retrieved from population-based cancer registries in five provinces of iran (gilan, mazandaran, golestan, ardabil and kerman) ...