Pure functional epidemics

QR Code

Pure functional epidemics

Agent-Based Simulation (ABS) is a methodology in which a system is simulated in a bottom-up approach by modelling the micro interactions of its constituting parts, called agents, out of which the global system behaviour emerges. So far mainly object-oriented techniques and languages have been used i...

Full description

Bibliographic Details
Main Authors:	Thaler, Jonathan, Altenkirch, Thorsten, Siebers, Peer-Olaf
Format:	Conference or Workshop Item
Language:	English
Published:	2018
Online Access:	https://eprints.nottingham.ac.uk/55001/

Similar Items

Investigating the use of pure functional programming for agent-based simulation
by: Thaler, Jonathan
Published: (2020)

Representations of first order function types as terminal coalgebras
by: Altenkirch, Thorsten
Published: (2001)

Proposal of a design pattern for embedding the concept of social forces in human centric simulation models
by: Siebers, Peer-Olaf, et al.
Published: (2018)

When is a function a fold or an unfold?
by: Gibbons, Jeremy, et al.
Published: (2001)

Introduction to Multi-Agent Simulation
by: Siebers, Peer-Olaf, et al.
Published: (2007)

A first approach on modelling staff proactiveness in retail simulation models
by: Siebers, Peer-Olaf, et al.
Published: (2011)

What software engineering has to offer to agent-based social simulation
by: Siebers, Peer-Olaf, et al.
Published: (2017)

An investigation on test driven discrete event simulation
by: Asta, Shahriar, et al.
Published: (2014)

Development of a cargo screening process simulator: a first approach
by: Siebers, Peer-Olaf, et al.
Published: (2009)

A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK
by: Zhang, Tao, et al.
Published: (2011)

Modelling the effects of user learning on forced innovation diffusion
by: Zhang, Tao, et al.
Published: (2012)

A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK
by: Zhang, Tao, et al.
Published: (2012)

Human Behavious Modelling for Discrete Event and Agent Based Simulation: A Case Study
by: Majid, Mazlina, et al.
Published: (2007)

Modelling office energy consumption: an agent based approach
by: Zhang, Tao, et al.
Published: (2010)

Modelling electricity consumption in office buildings: an agent based approach
by: Zhang, Tao, et al.
Published: (2011)

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)

Modelling and simulation of rail passengers to evaluate methods to reduce dwell times
by: Perkins, Adam, et al.
Published: (2015)

Multi-agent stochastic simulation of occupants for building simulation
by: Chapman, Jacob, et al.
Published: (2017)

Free higher groups in homotopy type theory
by: Kraus, Nicolai, et al.
Published: (2018)

Type theory in type theory using quotient inductive types
by: Altenkirch, Thorsten, et al.
Published: (2016)

Normalisation by evaluation for dependent types
by: Altenkirch, Thorsten, et al.
Published: (2016)

Towards a cubical type theory without an interval
by: Altenkirch, Thorsten, et al.
Published: (2017)

Normalisation by evaluation for type theory, in type theory
by: Altenkirch, Thorsten, et al.
Published: (2017)

An agent based modelling approach for the office space allocation problem
by: Dediu, Alexandra, et al.
Published: (2018)

Investigating Output Accuracy For A Discrete Event Simulation Model And An Agent Based Simulation Model
by: Mazlina, Abdul Majid, et al.
Published: (2009)

Human Behaviour Modelling For Discrete Event And Agent Based Simulation: A Case Study
by: Mazlina, Abdul Majid, et al.
Published: (2007)

Modelling and Analysing Human Behaviour in a Department Store using Discrete Event and Agent Based Simulation
by: Mazlina, Abdul Majid, et al.
Published: (2008)

Modelling Reactive and Proactive Behaviour in Simulation
by: Mazlina, Abdul Majid, et al.
Published: (2010)

Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitative Approach
by: Mazlina, Abdul Majid, et al.
Published: (2009)

Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach
by: Abdul Majid, Mazlina, et al.
Published: (2009)

Investigating output accuracy for a discrete event simulation model and an agent based simulation model
by: Abdul Majid, Mazlina, et al.
Published: (2009)

Modelling reactive and proactive behaviour in simulation
by: Majid, Mazlina Abdul, et al.

Systems dynamics or agent-based modelling for immune simulation?
by: Figueredo, Grazziela P., et al.
Published: (2011)

Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective
by: Figueredo, Grazziela P., et al.
Published: (2013)

Modelling and analysing human behaviour in a department store using discrete event and agent based simulation
by: Majid, Mazlina Abdul, et al.
Published: (2008)

Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective
by: Figueredo, Grazziela P., et al.
Published: (2013)

COVID-19 epidemic in Malaysia: Epidemic progression, challenges, and response
by: Jamal Hisham, Hashim, et al.
Published: (2021)

On the epidemic of financial crises
by: Demiris, Nikolaos, et al.
Published: (2014)

A computational workflow for urban micro-simulation of buildings' energy performance
by: Zakhary, Sameh, et al.
Published: (2016)

Towards the development of a simulator for investigating the impact of people management practices on retail performance
by: Siebers, Peer-Olaf, et al.
Published: (2014)