Automated multi-objective calibration of biological agent-based simulations
نویسندگان
چکیده
منابع مشابه
Automated calibration of agent-based immunological simulations
A major challenge in this field, however, lies in parameterization, particularly in agent-based simulations. These simulations contain many parameters (>50 is plausible), many pertaining to aspects of immunology that either have not or cannot be examined with current wet-lab technologies. Curve-fitting (e.g. linear regression) based-calibration is tractable only for relatively simple simulation...
متن کاملCalibration of Multi-Agent Simulations
In the context of agent-based simulation, a major issue is to define relevant parameters of the agent model and calibrate them. In this paper, we propose to log and analyse agents behaviours to evaluate their similarity to humans behaviours in an immersive virtual environment. The behaviour archetypes are studied in terms of cluster members in order to identify agent missing behaviours, capacit...
متن کاملTechniques for Analysis and Calibration of Multi-agent Simulations
In this paper we present analysis and calibration techniques that exploit knowledge about a multi agent society in order to calibrate the system parameters of a corresponding society simulation model. The techniques address typical problems of multi agent simulation calibration like the vast amount of parameters that need to be calibrated, the complex parameter dependencies due to interactions ...
متن کاملFABLES: A Functional Agent-Based Language for Multi-Agent Simulations
Introduction This presentation is concerned with the problem of creating computational simulations with agents. Agent-based modeling (ABM) and multi-agent simulation (MAS) has gained popularity in many disciplines, especially in the social sciences. Studying, as it is commonly called, ‘artificial societies’ provides a powerful and unique means to experiment with and to understand the processes ...
متن کاملSimAnalyzer: automated description of groups dynamics in agent-based simulations
Multi-agents based simulations (MABS) have been successfully used to model complex systems in multiple areas. However, a pitfall of MABS is that their complexity increases with the number of agents and behaviors considered in the model. For average and large systems, different phenomena can simultaneously occur at different intermediate levels and influence each other [2]. For instance, groups ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of The Royal Society Interface
سال: 2016
ISSN: 1742-5689,1742-5662
DOI: 10.1098/rsif.2016.0543