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.
Inhaltsverzeichnis
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.