Agent-based modelling in economics

Lynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UK

New methods of economic modelling have been sought as a result of the global economic downturn in 2008.This unique book highlights the benefits of an agent-based modelling (ABM) approach. It demonstrates how ABM can easily handle complexity: heterogeneous people, households and firms interacting dynamically. Unlike traditional methods, ABM does not require people or firms to optimise or economic systems to reach equilibrium. ABM offers a way to link micro foundations directly to the macro situation. 

Key features:

Agent-based Modelling in Economics provides students and researchers with the skills to design, implement, and analyze agent-based models. Third year undergraduate, master and doctoral students, faculty and professional economists will find this book an invaluable resource.

Agent-based modelling in economics

Lynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UK

New methods of economic modelling have been sought as a result of the global economic downturn in 2008.This unique book highlights the benefits of an agent-based modelling (ABM) approach. It demonstrates how ABM can easily handle complexity: heterogeneous people, households and firms interacting dynamically. Unlike traditional methods, ABM does not require people or firms to optimise or economic systems to reach equilibrium. ABM offers a way to link micro foundations directly to the macro situation. 

Key features:

Agent-based Modelling in Economics provides students and researchers with the skills to design, implement, and analyze agent-based models. Third year undergraduate, master and doctoral students, faculty and professional economists will find this book an invaluable resource.

This book brings together the perspectives of key researchers to explore lessons on social shaping, examining what can be learned from the adoption of mobile devices that can be applied to other, newer, digital technologies.

Forecasting the impact of new technology is always difficult. Occasionally demand is underestimated, but more often it is overestimated, & at great cost. Digital technology is unlike anything that has gone before, making it particularly difficult to understand its implications for businesses, public services & society in general. By looking at what has happened in the past & now, & offering methods of using this knowledge to look forward, this book will contribute to reducing expensive forecasting errors in the future.

Key reading for all those involved with the future of mobile communications, this book is a valuable resource, particularly for advanced undergraduates & postgraduates on Mobile Technology courses, practitioners, & researchers working in mobile communications, CSCW & HCI.

Agent-based modelling in economics

Lynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UK

New methods of economic modelling have been sought as a result of the global economic downturn in 2008.This unique book highlights the benefits of an agent-based modelling (ABM) approach. It demonstrates how ABM can easily handle complexity: heterogeneous people, households and firms interacting dynamically. Unlike traditional methods, ABM does not require people or firms to optimise or economic systems to reach equilibrium. ABM offers a way to link micro foundations directly to the macro situation. 

Key features:

Agent-based Modelling in Economics provides students and researchers with the skills to design, implement, and analyze agent-based models. Third year undergraduate, master and doctoral students, faculty and professional economists will find this book an invaluable resource.

Agent-based modelling in economics

Lynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UK

New methods of economic modelling have been sought as a result of the global economic downturn in 2008.This unique book highlights the benefits of an agent-based modelling (ABM) approach. It demonstrates how ABM can easily handle complexity: heterogeneous people, households and firms interacting dynamically. Unlike traditional methods, ABM does not require people or firms to optimise or economic systems to reach equilibrium. ABM offers a way to link micro foundations directly to the macro situation. 

Key features:

Agent-based Modelling in Economics provides students and researchers with the skills to design, implement, and analyze agent-based models. Third year undergraduate, master and doctoral students, faculty and professional economists will find this book an invaluable resource.

This book brings together the perspectives of key researchers to explore lessons on social shaping, examining what can be learned from the adoption of mobile devices that can be applied to other, newer, digital technologies.

Forecasting the impact of new technology is always difficult. Occasionally demand is underestimated, but more often it is overestimated, & at great cost. Digital technology is unlike anything that has gone before, making it particularly difficult to understand its implications for businesses, public services & society in general. By looking at what has happened in the past & now, & offering methods of using this knowledge to look forward, this book will contribute to reducing expensive forecasting errors in the future.

Key reading for all those involved with the future of mobile communications, this book is a valuable resource, particularly for advanced undergraduates & postgraduates on Mobile Technology courses, practitioners, & researchers working in mobile communications, CSCW & HCI.