東華大學圖書館 |

Simulating social complexity = a handbook /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Simulating social complexity/ edited by Bruce Edmonds, Ruth Meyer.
Reminder of title:	a handbook /
other author:	Meyer, Ruth.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	vii, 838 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Part1. Introduction -- Chapter1. Introduction -- Chapter2. Historical Introduction -- Chapter3. Types of Simulation -- Chapter4. Different Modelling Purposes -- Part2. Methodology -- Chapter5. Informal Approaches to Developing Simulations -- Chapter6. Applying software engineering methods to simulation development -- Chapter6. Checking Simulations -- Chapter7. Verifying and Validating simulations -- Chapter8. Understanding Simulation Results -- Chapter9. How many runs should one do -- Chapter10. Participatory Approaches -- Chapter11. Combining Analytic and Simulation Approaches -- Chapter12. Interpreting and Understanding Simulations -- Chapter13. Documenting Social Simulation Models: The ODD Protocol as a Standard -- Part3. Mechanisms -- Chapter14. Utility, Games, and Narratives -- Chapter15. Social Constraint -- Chapter16. Reputation -- Chapter17. Social Networks and Spatial Distribution -- Chapter18. Learning -- Chapter19. Evolutionary Mechanisms -- Part4. Applications -- Chapter20. Agent-based Modelling and Simulation Applied to Environmental Management -- Chapter21. Distributed Computer Systems -- Chapter22. Simulating Complexity of Animal Social Behaviour -- Chapter23. Agent-based Simulation as a Useful Tool for the Study of Markets -- Chapter24. Movement of People and Goods -- Chapter25. Modeling Power and Authority: An Emergentist View from Afghanistan -- Chapter26. Human Societies - Understanding Observed Social Phenomena -- Chapter27. Some pitfalls to beware when applying models to issues of policy relevance.
Contained By:	Springer eBooks
Subject:	Social interaction - Handbooks, manuals, etc. - Computer simulation -
Online resource:	http://dx.doi.org/10.1007/978-3-319-66948-9
ISBN:	9783319669489

Simulating social complexity = a handbook /
Simulating social complexitya handbook /[electronic resource] :edited by Bruce Edmonds, Ruth Meyer. - 2nd ed. - Cham :Springer International Publishing :2017. - vii, 838 p. :ill. (some col.), digital ;24 cm. - Understanding complex systems,1860-0832. - Understanding complex systems..

Part1. Introduction -- Chapter1. Introduction -- Chapter2. Historical Introduction -- Chapter3. Types of Simulation -- Chapter4. Different Modelling Purposes -- Part2. Methodology -- Chapter5. Informal Approaches to Developing Simulations -- Chapter6. Applying software engineering methods to simulation development -- Chapter6. Checking Simulations -- Chapter7. Verifying and Validating simulations -- Chapter8. Understanding Simulation Results -- Chapter9. How many runs should one do -- Chapter10. Participatory Approaches -- Chapter11. Combining Analytic and Simulation Approaches -- Chapter12. Interpreting and Understanding Simulations -- Chapter13. Documenting Social Simulation Models: The ODD Protocol as a Standard -- Part3. Mechanisms -- Chapter14. Utility, Games, and Narratives -- Chapter15. Social Constraint -- Chapter16. Reputation -- Chapter17. Social Networks and Spatial Distribution -- Chapter18. Learning -- Chapter19. Evolutionary Mechanisms -- Part4. Applications -- Chapter20. Agent-based Modelling and Simulation Applied to Environmental Management -- Chapter21. Distributed Computer Systems -- Chapter22. Simulating Complexity of Animal Social Behaviour -- Chapter23. Agent-based Simulation as a Useful Tool for the Study of Markets -- Chapter24. Movement of People and Goods -- Chapter25. Modeling Power and Authority: An Emergentist View from Afghanistan -- Chapter26. Human Societies - Understanding Observed Social Phenomena -- Chapter27. Some pitfalls to beware when applying models to issues of policy relevance.

This volume examines all aspects of using agent or individual-based simulation. This approach represents systems as individual elements having their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes this "social" is that it can represent an observed society. Social systems include all those systems where the components have individual agency but also interact with each other. This includes human societies and groups, but also increasingly socio-technical systems where the internet-based devices form the substrate for interaction. These systems are central to our lives, but are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible but, on the other hand, natural language approaches are also inadequate for relating intricate cause and effect. This is why individual an d agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. This handbook marks the maturation of this new field. It brings together summaries of the best thinking and practices in this area from leading researchers in the field and constitutes a reference point for standards against which future methodological advances can be judged. This second edition adds new chapters on different modelling purposes and applying software engineering methods to simulation development. Revised existing content will keep the book up-to-date with recent developments. This volume will help those new to the field avoid "reinventing the wheel" each time, and give them a solid and wide grounding in the essential issues. It will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introduction, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called 'Why read this chapter?' followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section on 'Further Reading'. Whilst sometimes covering technical aspects, this second edition of Simulating Social Complexity is designed to be accessible to a wide range of researchers, including both those from the social sciences as well as those with a more formal background. It will be of use as a standard reference text in the field and also be suitable for graduate level courses.

ISBN: 9783319669489

Standard No.: 10.1007/978-3-319-66948-9doiSubjects--Topical Terms:

3269766
Social interaction
--Computer simulation--Handbooks, manuals, etc.

LC Class. No.: HM291

Dewey Class. No.: 302.30113

Simulating social complexity = a handbook /
LDR:05156nmm a2200361 a 4500 001 2112263
003 DE-He213
005 20171125115145.0
006 m d
007 cr nn 008maaau
008 180719s2017 gw s 0 eng d
020 $a 9783319669489 $q (electronic bk.)
020 $a 9783319669472 $q (paper)
024 7 $a 10.1007/978-3-319-66948-9 $2 doi
035 $a 978-3-319-66948-9
040 $a GP $c GP
041 0 $a eng
050 4 $a HM291
072 7 $a J $2 bicssc
072 7 $a UB $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a SOC000000 $2 bisacsh
082 0 4 $a 302.30113 $2 23
090 $a HM291 $b .S614 2017
245 0 0 $a Simulating social complexity $h [electronic resource] : $b a handbook / $c edited by Bruce Edmonds, Ruth Meyer.
250 $a 2nd ed.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a vii, 838 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Understanding complex systems, $x 1860-0832
505 0 $a Part1. Introduction -- Chapter1. Introduction -- Chapter2. Historical Introduction -- Chapter3. Types of Simulation -- Chapter4. Different Modelling Purposes -- Part2. Methodology -- Chapter5. Informal Approaches to Developing Simulations -- Chapter6. Applying software engineering methods to simulation development -- Chapter6. Checking Simulations -- Chapter7. Verifying and Validating simulations -- Chapter8. Understanding Simulation Results -- Chapter9. How many runs should one do -- Chapter10. Participatory Approaches -- Chapter11. Combining Analytic and Simulation Approaches -- Chapter12. Interpreting and Understanding Simulations -- Chapter13. Documenting Social Simulation Models: The ODD Protocol as a Standard -- Part3. Mechanisms -- Chapter14. Utility, Games, and Narratives -- Chapter15. Social Constraint -- Chapter16. Reputation -- Chapter17. Social Networks and Spatial Distribution -- Chapter18. Learning -- Chapter19. Evolutionary Mechanisms -- Part4. Applications -- Chapter20. Agent-based Modelling and Simulation Applied to Environmental Management -- Chapter21. Distributed Computer Systems -- Chapter22. Simulating Complexity of Animal Social Behaviour -- Chapter23. Agent-based Simulation as a Useful Tool for the Study of Markets -- Chapter24. Movement of People and Goods -- Chapter25. Modeling Power and Authority: An Emergentist View from Afghanistan -- Chapter26. Human Societies - Understanding Observed Social Phenomena -- Chapter27. Some pitfalls to beware when applying models to issues of policy relevance.
520 $a This volume examines all aspects of using agent or individual-based simulation. This approach represents systems as individual elements having their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes this "social" is that it can represent an observed society. Social systems include all those systems where the components have individual agency but also interact with each other. This includes human societies and groups, but also increasingly socio-technical systems where the internet-based devices form the substrate for interaction. These systems are central to our lives, but are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible but, on the other hand, natural language approaches are also inadequate for relating intricate cause and effect. This is why individual an d agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. This handbook marks the maturation of this new field. It brings together summaries of the best thinking and practices in this area from leading researchers in the field and constitutes a reference point for standards against which future methodological advances can be judged. This second edition adds new chapters on different modelling purposes and applying software engineering methods to simulation development. Revised existing content will keep the book up-to-date with recent developments. This volume will help those new to the field avoid "reinventing the wheel" each time, and give them a solid and wide grounding in the essential issues. It will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introduction, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called 'Why read this chapter?' followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section on 'Further Reading'. Whilst sometimes covering technical aspects, this second edition of Simulating Social Complexity is designed to be accessible to a wide range of researchers, including both those from the social sciences as well as those with a more formal background. It will be of use as a standard reference text in the field and also be suitable for graduate level courses.
650 0 $a Social interaction $x Computer simulation $v Handbooks, manuals, etc. $3 3269766
650 0 $a Social structure $x Computer simulation $v Handbooks, manuals, etc. $3 3269767
650 0 $a Complexity (Philosophy) $3 525012
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 892702
650 2 4 $a Social Sciences, general. $3 891258
650 2 4 $a Complex Systems. $3 1566441
650 2 4 $a Behavioral Sciences. $3 789898
650 2 4 $a Game Theory, Economics, Social and Behav. Sciences. $3 891103
650 2 4 $a Simulation and Modeling. $3 890873
700 1 $a Meyer, Ruth. $3 3269765
700 1 $a Edmonds, Bruce. $3 913245
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Understanding complex systems. $3 1568162
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-66948-9
950 $a Computer Science (Springer-11645)