Improveing Agent-based modelling by using machine learning

QR Code

Improveing Agent-based modelling by using machine learning

Agent-based modelling (ABM) is increasingly being used as a way of understanding complex phenomena and systems. As traditional agent-based modelling relies on the designer's knowledge of the model, this thesis focuses on methods to improve the accuracy of traditional ABM using machine learning...

Full description

Bibliographic Details
Main Author:	Shen, Xin
Format:	Dissertation (University of Nottingham only)
Language:	English
Published:	2022
Subjects:	Agent-based modelling machine learning linear regression clustering k nearest neighbours
Online Access:	https://eprints.nottingham.ac.uk/70226/

Similar Items

From Big data to Smart Data with the K-Nearest Neighbours algorithm
by: Triguero, Isaac, et al.
Published: (2016)

An evolutionary strategy with machine learning for learning to rank in information retrieval
by: Ibrahim, Osman Ali Sadek, et al.
Published: (2018)

Football match prediction through the use of statistical analysis and machine learning
by: Duyile, Akintunde
Published: (2017)

Statistical properties of a randomly excited granular fluid
by: Bray, David Jonathan
Published: (2010)

Support vector machine and its applications for linear and nonlinear regression in the presence of outliers of high dimensional data
by: Sleabi, Waleed Dhhan
Published: (2016)

Integrating BDI agents with Agent-based simulation platforms
by: Singh, Dhirendra, et al.
Published: (2016)

Spatio-temporal modeling and prediction on travel behaviour analysis
by: Gong, Shuhui
Published: (2020)

Towards uncertainty-aware and label-efficient machine learning of human expressive behaviour
by: Tellamekala, Mani Kumar
Published: (2022)

A software engineering approach for agent-based modelling and simulation of public goods games
by: Vu, Tuong Manh
Published: (2017)

Local Linear Spatial Regression
by: Hallin, M., et al.
Published: (2004)

Semantic image understanding: from pixel to word
by: Fu, Hao
Published: (2012)

Robust diagnostic and parameter estimation for multiple linear and panel data regression models
by: Sani, Muhammad
Published: (2018)

Enhanced extreme learning machine for general regression and classification tasks
by: Mahmood, Saif F
Published: (2020)

Investigating the Impact of Antibiotics on Environmental Microbiota Through Machine Learning Models.
by: Du, Yiheng, et al.
Published: (2025)

How should we estimate value-relevance models? Insights from European data
by: Onali, Enrico, et al.
Published: (2017)

Poor transferability of machine learning classification models: classifying vegetation on palsa complexes in Arctic Sweden
by: Dancer, Holly
Published: (2024)

Agent based simulation as a novel decision support tool for retail managers
by: Siebers, Peer-Olaf, et al.
Published: (2008)

A robustified modeling approach to analyze pediatric length of stay
by: Lee, Andy, et al.
Published: (2005)

The development of a multiple linear regression model for aiding formulation development of solid dispersions
by: Fridgeirsdottir, Gudrun A.
Published: (2018)

Reduction of power consumption in sensor network applications using machine learning techniques
by: Shafiullah, G., et al.
Published: (2008)

Metamorphic exploration of an unsupervised clustering program
by: Yang, Sen, et al.
Published: (2019)

Simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the UK
by: Zhang, Tao, et al.
Published: (2016)

Investigating the use of Machine Learning for Resource Intensive Agent-Based Simulation and Optimisation of Domestic Energy Retrofit Adoption
by: Hey, James
Published: (2022)

Evaluation of intelligent agent frameworks for human learning
by: Soliman, M., et al.
Published: (2011)

Evaluation of intelligent agent frameworks for human learning in virtual worlds
by: Soliman, M., et al.
Published: (2011)

Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
by: Ali Al-Assadi, Hayder M. A.
Published: (2004)

Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models
by: Zaherpour, Jamal, et al.
Published: (2019)

Simulating Interactive Learning Scenarios with Intelligent Pedagogical Agents in a Virtual World through BDI-Based Agents
by: Soliman, M., et al.
Published: (2013)

Developing an agent-based framework for intelligent geocoding
by: Hutchinson, Matthew John
Published: (2010)

Review and Perspectives on Intelligent Multi-Agent Systems’ Support for Group Learning
by: Soliman, M., et al.
Published: (2010)

Embedding and Extracting Domain Knowledge in Machine Learning for Condition-based Maintenance
by: Rengasamy, Divish
Published: (2022)

kNN-IS: an iterative spark-based design of the k-nearest neighbors classifier for big data
by: Maillo, Jesus, et al.
Published: (2016)

Development of prediction models for various distresses in jointed plain concrete pavement using machine learning and finite element modelling
by: Pasupunuri, Sampath Kumar
Published: (2024)

Modelling electrical car diffusion based on agents
by: Yu, Lei, et al.
Published: (2012)

The Impact and Influence of Social Media on Consumer-Brand Relationship : Case Study In Health Product Brands
by: Ning, Jing
Published: (2017)

A benchmarking framework for improving machine learning with fNIRS neuroimaging data
by: Benerradi, Johann
Published: (2024)

Improving machine vision crack die detection with multi-kernel learning SVM
by: Abdullah, Mohd Khairi John
Published: (2024)

An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates
by: Roadknight, Chris, et al.
Published: (2015)

Use and modeling of multi-agent systems in medicine
by: Hadzic, Maja, et al.
Published: (2009)

Appliance level stand-by burst forecast modelling using machine learning techniques
by: Mustafa, Abid
Published: (2020)