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9 - Simulation & Multi-Agent Systems. An Introduction

Authors
Publication Date
Keywords
  • Sistemi Autonomi
  • 69897
  • 0031
  • Ingegneria E Scienze Informatiche
  • 8614
  • 2013
  • 6

Abstract

Simulation & Multi-Agent Systems An Introduction - Autonomous Systems Sistemi Autonomi Simulation & Multi-Agent Systems An Introduction Autonomous Systems Sistemi Autonomi Sara Montagna Andrea Omicini {sara.montagna, [email protected] Dipartimento di Informatica – Scienza e Ingegneria (DISI) Alma Mater Studiorum – Universita` di Bologna Academic Year 2013/2014 Montagna & Omicini (DISI, Univ. Bologna) 9 - Simulation & MAS A.Y. 2013/2014 1 / 78 Outline 1 Simulation Meaning, Motivation & Application 2 Types of Simulation Micro, Macro and Multi-level Simulation 3 A Methodology Domain, Design, Computational Model 4 Traditional Model and Simulation Differential Equations: ODE, PDE, Master Equations Computational Models 5 Agent-based Model and Multi-agent based Simulation Why do we Need ABM? What are ABM and MABS? When to use ABM? How to use ABM and MABS? MABS Platforms Applications of ABM 6 A Case Study The Morphogenesis of Biological Systems A Crowd steering scenario Montagna & Omicini (DISI, Univ. Bologna) 9 - Simulation & MAS A.Y. 2013/2014 2 / 78 Simulation Outline 1 Simulation Meaning, Motivation & Application 2 Types of Simulation Micro, Macro and Multi-level Simulation 3 A Methodology Domain, Design, Computational Model 4 Traditional Model and Simulation Differential Equations: ODE, PDE, Master Equations Computational Models 5 Agent-based Model and Multi-agent based Simulation Why do we Need ABM? What are ABM and MABS? When to use ABM? How to use ABM and MABS? MABS Platforms Applications of ABM 6 A Case Study The Morphogenesis of Biological Systems A Crowd steering scenario Montagna & Omicini (DISI, Univ. Bologna) 9 - Simulation & MAS A.Y. 2013/2014 3 / 78 Simulation Meaning, Motivation & Application Outline 1 Simulation Meaning, Motivation & Application 2 Types of Simulation Micro, Macro and Multi-level Simulation 3 A Methodology Domain, Design, Computational Model 4 Traditional Model and Simulation Differential E

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