找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Methodological Investigations in Agent-Based Modelling; With Applications fo Eric Silverman Book‘‘‘‘‘‘‘‘ 2018 The Author(s) 2018 Agent-Base

[复制链接]
楼主: 僵局
发表于 2025-3-26 21:02:10 | 显示全部楼层
发表于 2025-3-27 02:12:09 | 显示全部楼层
Book‘‘‘‘‘‘‘‘ 2018apters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences.  Following an in-depth analysis of the potential impact of the
发表于 2025-3-27 06:56:46 | 显示全部楼层
Modelling in Population Biologyg complex creatures and behaviours with only systems of equations. Scientists in this discipline have developed some intriguing theoretical frameworks for the use of such models and for describing their limitations, and here we see how these ideas can inform our own quest for a useful framework for computational models.
发表于 2025-3-27 12:23:37 | 显示全部楼层
发表于 2025-3-27 16:58:26 | 显示全部楼层
Modelling for the Social Sciencesh, outlining some of the most influential work in this developing field. We will then investigate the methodological difficulties faced by modellers in this area, as well as the philosophical implications of an agent-based approach to the study of human social systems.
发表于 2025-3-27 20:24:09 | 显示全部楼层
发表于 2025-3-28 01:58:01 | 显示全部楼层
发表于 2025-3-28 04:29:40 | 显示全部楼层
发表于 2025-3-28 09:41:01 | 显示全部楼层
Model-Based Demography in Practice: Isis. In this chapter, we will investigate some demographic models which have used agent-based approaches successfully to produce useful insight. We will discuss their methods and results in detail, and outline how these models have used simulation to push us closer to a model-based demography.
发表于 2025-3-28 13:34:52 | 显示全部楼层
Conclusionsstock of the state of model-based demography, we will discuss how this methodological paradigm might influence efforts to establish simulation as a powerful tool for the broader social science community.
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-26 00:03
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表