Agent-based models (ABMs) of multicellular systems are models in which each cell is represented individually. These models allow taking the variability between individual cells and the spatial heterogeneity of tissues on histological scales into account. In this chapter we present an overview and ...
Agent-Based Models (ABMs) are used in several fields to study the evolution of complex systems from micro-level assumptions. However, a significant drawback of ABMs is their inability to estimate agent-specific (or “micro”) variables, which hinders their ability to make accurate predictions ...
Agent-based models (ABMs) are capable of constructingindividual system components at different levels of representation to describenon-linear relationships between those components. Compared to a traditionalmathematical modeling approach, agent-based models have an inherent spatialcomponent with which they ...
complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo Methods are used to introduce randomness. Particularly within ecology, ABMs are also called individual-based models (IBMs),and individuals within IBMs may be simpler than fully ...
Agent-based models (ABMs), perhaps used along with other methods, are increasingly being applied to address problems involving social-ecological systems (SES). However, systematic and standardized techniques for organizing data requirements and collecting information for such models are generally not ...
Agent-based models (ABMs) provide a methodology to explore systems of interacting, adaptive, diverse, spatially situated actors. Outcomes in ABMs can be equilibrium points, equilibrium distributions, cycles, randomness, or complex patterns; these outcomes are not directly determined by assumptions but...
Improvements in computer processing speed, combined with the development of user-friendly software, have afforded an opportunity for exploration with Agent-Based Models (ABMs), a complex systems approach that uses computer-generated algorithms to simulate the behavior of individual real-world entities. ...
Simudyne, a provider of simulation technologies, is a company leading the way in this space. They have developed a platform and software development kit (SDK) that uses patented graph-based computing to allow businesses to simulate different aspects of their operations using ABMs. ...
By utilizing the unique potentials of Qt Application Framework, ABMQ provides the ability to easily model and simulate self-organizing algorithms, and then reuse the codes and models developed during simulation process for building real third-party applications for several desktop and mobile platforms,...