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Agent-based modeling and simulation tutorial - EASSS 2009 - Giuseppe Vizzari

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Giuseppe Vizzari
Giuseppe Vizzari

Tutorial on agent-based modeling and simulation I held in the context of EASSS 2009 summer school

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Agent-Based Modeling for the Simulation of Complex Systems Giuseppe Vizzari Department of Informatics, Systems and Communication University of Milan-Bicocca
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Complex Systems? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Simulation: a definition and motivations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Simulation life-cycle ,[object Object],[object Object],[object Object],[object Object],Simulation execution Dynamics of Target System Modeling and design of a simulator Analysis of results + interpretation (model evaluation leading to explanation or prediction) Target System Model and simulator Data generated by the simulation(s) Collected Data EASSS 2009 - Torino – 3-4/9/2009
Agent Based Modeling and Simulation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Agent Based Models for simulation: peculiarities, advantages, risks ,[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
A possible reference model for Agent Based models ,[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Crowds of pedestrians as Complex Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Crowd modeling and simulation: motivations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Possible modeling approaches ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Analytical (physical) approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Lane formation ‘ Freezing by heating’ EASSS 2009 - Torino – 3-4/9/2009
Cellular Automata and crowd modelling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
From CA to Situated MAS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Situated MAS: action and interaction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Situated Cellular Agents (SCA) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Compare T (f  c,t) = true emit(f) react(s,a b ,s’) react(s,a c ,s’) EASSS 2009 - Torino – 3-4/9/2009
Situated MAS and crowd modelling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],transport(p,q) EASSS 2009 - Torino – 3-4/9/2009
SCA Crowd Modelling Approach Definition of the MMASS spatial structure Definition of active elements of the environment and field types Definition of mobile agents (types, states, perceptive capabilities and behavioural specification) Definition of monitored parameters and specification of monitoring mechanisms Specific simulation configuration (number, type, position and initial state of mobile agents, other parameters) Abstract scenario specification Computational model for the scenario Experiment-specific parameters EASSS 2009 - Torino – 3-4/9/2009
Spatial structure of the environment ,[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Active Elements of the Environment and Field Types ,[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Mobile Agents - States ,[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009 W G P E Waiting : passengers on the platform waiting for a train Get Off : people on the wagon that have to get off the train Passenger : agent on the train that has no immediate urge to get off Exit : passenger that has got down the train and goes away from the station S Seated : agent seated on a seat of the wagon State Transition W G E P S
Mobile Agents – Movement Utility ,[object Object],[object Object],[object Object],[object Object],transport(p,q)  EASSS 2009 - Torino – 3-4/9/2009 State Exits Doors Seats Handles Presence Exit press. W - Attract (2) - - Repel (3) Repel (1) P - - Attract (1) Attract (2) Repel (3) Repel (2) G - Attract (1) - - Repel (2) - S - Attract (1) - - - - E Attract (2) - - - Repel (2) -
Case Study Preliminary results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Sample Application: Lecture hall (I) Single exit ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Sample Application: Lecture hall (II) Two exits EASSS 2009 - Torino – 3-4/9/2009
Additional sample applications ,[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Towards hybrid SCA agents ,[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009 Gallery entrance Scala entrance Bank Square centre Palazzo Marino’s entrance
A qualitative spatial representation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],A Exit B C D E F G Hall Lab. A Lab. A Lect. Hall T014 Corr. S Corr. N EASSS 2009 - Torino – 3-4/9/2009
Thinking before moving… ,[object Object],[object Object],[object Object],[object Object],A Exit B C D E F G Hall Lab. A Lab. A Lect. Hall T014 Corr. S Corr. N EASSS 2009 - Torino – 3-4/9/2009
Hybrid agents at work… ,[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Why not use simple queues? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Pedestrian in the lecture hall Exit (one pedestrian every t ms) Exit (one pedestrian every t ms) EASSS 2009 - Torino – 3-4/9/2009
So, no “best” modeling approach? ,[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
What about Agent Based Modeling and Simulation methodologies? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009 ?
A reflection: from reality, to models, to a simulation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Reality Subsystem Abstract model Computational model Simulator EASSS 2009 - Torino – 3-4/9/2009
Some remarks about validation and documentation… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
The role of the environment ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Communication infrastructure Agent Agent Agent Comprehensive environment Agent Agent Agent EASSS 2009 - Torino – 3-4/9/2009
Agent Based Modeling and Simulation Frameworks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Brief tutorial on Repast… (code will be available soon)
Agent Based Simulation Industrial Applications? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Giuseppe Vizzari Department of Informatics, Systems and Communication University of Milan-Bicocca [email_address] Thank you! EASSS 2009 - Torino – 3-4/9/2009
References (very partial...) ,[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
References (very partial...) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
References (very partial...) ,[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Quotes... ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009
Quotes... ,[object Object],[object Object],EASSS 2009 - Torino – 3-4/9/2009

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Agent-based modeling and simulation tutorial - EASSS 2009 - Giuseppe Vizzari

  • 1. Agent-Based Modeling for the Simulation of Complex Systems Giuseppe Vizzari Department of Informatics, Systems and Communication University of Milan-Bicocca
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  • 18. SCA Crowd Modelling Approach Definition of the MMASS spatial structure Definition of active elements of the environment and field types Definition of mobile agents (types, states, perceptive capabilities and behavioural specification) Definition of monitored parameters and specification of monitoring mechanisms Specific simulation configuration (number, type, position and initial state of mobile agents, other parameters) Abstract scenario specification Computational model for the scenario Experiment-specific parameters EASSS 2009 - Torino – 3-4/9/2009
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  • 25. Sample Application: Lecture hall (II) Two exits EASSS 2009 - Torino – 3-4/9/2009
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  • 38. Brief tutorial on Repast… (code will be available soon)
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  • 41. Giuseppe Vizzari Department of Informatics, Systems and Communication University of Milan-Bicocca [email_address] Thank you! EASSS 2009 - Torino – 3-4/9/2009
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Notas del editor

  1. D. Helbing, I. J. Farkas, T. Vicsek: Freezing by Heating in a Driven Mesoscopic System, PHYSICAL REVIEW LETTERS, VOLUME 84, NUMBER 6, 2000