Agent-basedf modeling and simulation for the social scientist

(1)

Agent‐based Modeling and Simulation for the

Social Scientist

Amineh Ghorbani, Virginia Dignum, Gerard Dijkema

Delft University of Technology

Objective

To develop a tool for agent‐based modeling that can be used by the social scientists who are less familiar with

programming.

Sub‐objectives

Part I. Conceptualization Of Agent‐

based Models

Part II. Formalized instrument for

agent‐based modeling

Outcome

MAIA

Institutional Analysis & Development Framework (

IAD

) (Elinor Ostrom) Multi‐agent Systems methodologies & architectures (OperA, BDI)

The E‐core Model and Eclipse Plugin

Rules of generating automatic code

Logical formalization of the institutional

grammar

Evaluation

I. Meta‐model Validation: Case Studies

II. Methodology & tool Validation

Case Studies:

III. Comparison with others:

• Meta‐models

:

INGENIAS, easyABMS, Plat Box Foundation

• Methodologies:

INGENIAS, easyABMS

• Tools

:

Netlogo, Repast, SWARM ,SeSam, Ascape

E‐waste Wood‐fuel Bio‐gas production Consumer Lighting Elderly Care _{Cash Transfer} 1

Close to the language used by

the social scientist.

2

Cover as many concepts in

a real social system as

possible.

3

Produce executable

simulations.

E‐core Model

Web tool

Executable

Simulation

Translator

Software

XML code XML code Java code ‐ Supports model development without programming knowledge ‐ In social science language ‐ Based on MAIA meta‐ model Based on Translation Rules ‐ Formal description, facilitates translation of concepts to code ‐ Based on MAIA meta‐ model Behavioral Theories: • Strucuration (Giddens) • Social Mechanism (Hedstrom) • Institutionalism (Scharpf)