腼腆
发表于 2025-3-25 04:03:05
Using Spatially Explicit Marketing Data to Build Social Simulations,they rely on detailed data on cognitive and behavioural variables e.g. gathered through a domain-specific survey to craftspecific behavioural agent rules.However, both scales cannot easilybe connected. This chapter describes a method of using data stemming from geo-marketing research to support this
essential-fats
发表于 2025-3-25 09:16:12
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Myocyte
发表于 2025-3-25 12:21:24
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acrimony
发表于 2025-3-25 16:05:52
Parameterisation of Individual Working Dynamics, areas experience a rebirth, even in areas where until recently development was not considered possible. Our modelling effort aims at better understanding these heterogeneities. To deal with this objective, the modelling and the parameterisation should be strongly constraint by available data. This
江湖郎中
发表于 2025-3-25 20:27:06
How to Characterise and Parameterise Agents in Electricity Market Simulation Models: The Case of Gees in a competitive electricity market. It focuses on adaptive behaviour of generation and investment companies in Australia’s National Electricity Market (NEM) as modelled by Genersys. Through initiatives such as formal focus group meetings, gathering observations of industry experts, analysing mar
指令
发表于 2025-3-26 04:07:16
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Intellectual
发表于 2025-3-26 06:11:11
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profligate
发表于 2025-3-26 10:02:53
Building Empirical Multiagent Models from First Principles When Fieldwork Is Difficult or Impossiblimpossible to conduct and data is primarily of qualitative nature. Empirical multiagent models have become ever more popular over the last decade. While informing models using statistical and geospatial data can orient itself on more established techniques and standards, methodological challenges pe
right-atrium
发表于 2025-3-26 14:34:38
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dry-eye
发表于 2025-3-26 16:58:41
978-1-4939-5252-6Springer Science+Business Media New York 2014