ABM - Agent Based Modeling(ABM Stephen Kinsel • What is...

Info iconThis preview shows pages 1–8. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Agent Based Modeling (ABM) Stephen Kinsel • What is ABM? • Why use ABM? • Applications • Examples • Good Modeling Practices • Issues • Future of ABM Outline What is ABM? • First: What is an agent? – An entity that functions continuously and autonomously in an environment in which other processes take place and other agents exist (Shoham) – General Characteristics: • Autonomy • Pro-activeness • Reactivity • “Social” Ability What is ABM? • Simulation modeling technique where a system is modeled as a collection of agents and the relationships between them. • Agents individually asses its situation in the environment and make decisions on the basis of a set of rules.- Bonabeau Agent Types (DeLaurentis) Agent Types in an Example • Traffic Control – Reactive: Police (enforce laws of road) – Info-gathering: Media (informs the public of traffic and accidents in major areas) – Autonomous: Disruptors (weather / accidents) – Goal-based: City Planners (would like the least number of accidents and greatest amount of flow through parts of town) – Adaptive: Drivers (may avoid roads that are known to be overcrowded during certain times of day) – Utility: Drivers (would like to minimize drive time / distance) Why Use ABM? • Captures Emergent Phenomena – As the components of a system interact with each other, and influence each other through these interactions, the system as a whole exhibits emergent behavior (Roetzheim) – This characteristic makes the output of a system difficult to understand and predict Emergence Example...
View Full Document

This note was uploaded on 11/13/2010 for the course ISE 680 taught by Professor Santanu during the Spring '10 term at Purdue University Calumet.

Page1 / 25

ABM - Agent Based Modeling(ABM Stephen Kinsel • What is...

This preview shows document pages 1 - 8. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online