Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others.

This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.

Includes the latest work on agent-based modelling of sustainable lifestyles and green economies Contains detailed instructions on the usage of the models contained within as well as on-line supplementary material Demonstrates agent-based modelling using real case studies Includes supplementary material: sn.pub/extras

Inhalt
Psychologically Plausible Models in Agent-Based Simulations of Sustainable Behavior.- Modelling Everyday Pro-Environmental Norm Transmission and Diffusion in Workplace Networks.- Empirically-Derived Behavioral Rules in Agent-Based Models Using Decision Trees Learned From Questionnaire Data.- The Implementation of the Theory of Planned Behavior in an Agent-Based Model for Waste Recycling: A Review and a Proposal.- Social Simulations Through an Agent-Based Platform, Location Data and 3D Models.- An Intersection-Centric Auction-Based Traffic Signal Control Framework.- Agentdrive: Agent-Based Simulator for Intelligent Cars and its Application for Development of a Lane-Changing Assistant.- City Parking Allocations as a Bundle of Society-Aware Deals.- Sustainable Farming Behaviours: an Agent Based Modelling and LCA Perspective.- Agent-Based Simulation of Electricity Markets: Risk Management and Contracts for Difference.- Energy Management in the Smart Grids via Intelligent Storage Systems.