Description: Empirical Agent-Based Modelling - Challenges and Solutions by Alexander Smajgl, Olivier Barreteau Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This instructional book showcases techniques to parameterise human agents in empirical agent-based models (ABM). As a result, ABM will only continue its rapid growth.This is the first volume in a series of books that aims tocontribute to a cultural change in the community of empirical agent-based modelling. Publisher Description This instructional book showcases techniques to parameterise human agents in empirical agent-based models (ABM). In doing so, it provides a timely overview of key ABM methodologies and the most innovative approaches through a variety of empirical applications. It features cutting-edge research from leading academics and practitioners, and will provide a guide for characterising and parameterising human agents in empirical ABM. In order to facilitate learning, this text shares the valuable experiences of other modellers in particular modelling situations. Very little has been published in the area of empirical ABM, and this contributed volume will appeal to graduate-level students and researchers studying simulation modeling in economics, sociology, ecology, and trans-disciplinary studies, such as topics related to sustainability. In a similar vein to the instruction found in a cookbook, this text provides the empirical modeller with a set of recipes ready to be implemented.Agent-based modeling (ABM) is a powerful, simulation-modeling technique that has seen a dramatic increase in real-world applications in recent years. In ABM, a system is modeled as a collection of autonomous decision-making entities called "agents." Each agent individually assesses its situation and makes decisions on the basis of a set of rules. Agents may execute various behaviors appropriate for the system they represent—for example, producing, consuming, or selling. ABM is increasingly used for simulating real-world systems, such as natural resource use, transportation, public health, and conflict. Decision makers increasingly demand support that covers a multitude of indicators that can be effectively addressed using ABM. This is especially the case in situations where human behavior is identified as a critical element. As a result, ABM will only continue its rapid growth.This is the first volume in a series of books that aims tocontribute to a cultural change in the community of empirical agent-based modelling. This series will bring together representational experiences and solutions in empirical agent-based modelling. Creating a platform to exchange such experiences allows comparison of solutions and facilitates learning in the empirical agent-based modelling community. Ultimately, the community requires such exchange and learning to test approaches and, thereby, to develop a robust set of techniques within the domain of empirical agent-based modelling. Based on robust and defendable methods, agent-based modelling will become a critical tool for research agencies, decision making and decision supporting agencies, and funding agencies. This series will contribute to more robust and defendable empirical agent-based modelling. Author Biography Alexander Smajgl works at CSIRO Ecosystem Sciences, Australia. Olivier Barreteau is senior water scientist with Cemagref Montpellier. Details ISBN 1493952528 ISBN-13 9781493952526 Title Empirical Agent-Based Modelling - Challenges and Solutions Author Alexander Smajgl, Olivier Barreteau Format Paperback Year 2016 Pages 249 Publisher Springer-Verlag New York Inc. GE_Item_ID:140213254; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 132.26 USD
Location: Fairfield, Ohio
End Time: 2025-01-22T09:14:58.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781493952526
Book Title: Empirical Agent-Based Modelling - Challenges and Solutions
Number of Pages: Xiii, 249 Pages
Publication Name: Empirical Agent-Based Modelling - Challenges and Solutions : Volume 1, the Characterisation and Parameterisation of Empirical Agent-Based Models
Language: English
Publisher: Springer New York
Item Height: 0.6 in
Subject: Probability & Statistics / General, Computer Simulation, Discrete Mathematics
Publication Year: 2016
Type: Textbook
Item Weight: 142.6 Oz
Item Length: 9.2 in
Subject Area: Mathematics, Computers
Author: Olivier Barreteau
Item Width: 6.1 in
Format: Trade Paperback
