Gaussian distribution for NPC character in real-life simulation

Kyungeun Cho, Wei Song, Kyhyun Um

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

4 Scopus citations

Abstract

This paper describes a real-life behavior framework in simulation game based on Probabilistic State Machine (PSM) with Gaussian random distribution. According to the dynamic environment information, NPC can generate behavior planning autonomously associated with defined FSM. After planning process, we illuminate Gaussian probabilistic function for real-life action simulation in time and spatial domains. The expected value of distribution is estimated during behavior planning process and variance is determined by NPC personality in order to realize real life behavior simulation. We experiment the framework and Gaussian PSM on a restaurant simulation game. Furthermore we give some suggestions to enhance emotion engine on behavior planning for virtual reality.

Original languageEnglish
Title of host publicationProceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007
PublisherIEEE Computer Society
Pages132-135
Number of pages4
ISBN (Print)0769530060, 9780769530062
DOIs
StatePublished - 2007
Event2007 International Conference on Intelligent Pervasive Computing, IPC 2007 - Jeju Island, Korea, Republic of
Duration: 11 Oct 200713 Oct 2007

Publication series

NameProceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007

Conference

Conference2007 International Conference on Intelligent Pervasive Computing, IPC 2007
Country/TerritoryKorea, Republic of
CityJeju Island
Period11/10/0713/10/07

Fingerprint

Dive into the research topics of 'Gaussian distribution for NPC character in real-life simulation'. Together they form a unique fingerprint.

Cite this