Agent perception modeling for movement in crowds

Katayoun Farrahi, Kashif Zia, Alexei Sharpanskykh, Alois Ferscha, Lev Muchnik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations


This paper explores the integration of a perception map to an agent based model simulated on a realistic physical space. Each agent's perception map stores density information about the physical space which is used for routing. The scenario considered is the evacuation of a space given a crowd. Through agent interactions, both in physical proximity and through distant communications, agents update their perception maps and continuously work to overcome their incomplete perception of the world. Overall, this work aims at investigating the dynamics of agent information diffusion for emergency scenarios and combines three general elements: (1) an agent-based simulation of crowd dynamics in an emergency scenario over a real physical space, (2) a sophisticated decision making process driven by the agent's subjective view of the world and effected by trust, belief and confidence, and (3) agent's activity aimed at building relationships with specific peers that is based on mutual benefit from sharing information.

Original languageAmerican English
Title of host publicationAdvances on Practical Applications of Agents and Multi-Agent Systems - 11th International Conference, PAAMS 2013, Proceedings
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783642380723
StatePublished - 2013
Event11th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2013 - Salamanca, Spain
Duration: 22 May 201324 May 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7879 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference11th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2013


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