Evolving believable behaviours for first person shooter games

Colm O'Riordan

Evolving believable behaviours for first person shooter games

Colm O'Riordan

Computer Science

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

Abstract

This papers presents research in the use of genetic progaramming techniques to generate believable behaviours for NPCs in first person shooter games. NVe use the Quake II game and engine in this work to illustrate on approach. We report aspects of the NPC behaviours deemed unrealistic by a number of human game players. We abstract these scenarios into an abstract game wherein we evolve fit behaviours for our NPCs. These evolved scripts are then placed back into the original Quake II engine. We report on the evolved strategies in the abstract game and also on feedback from a, survey of game players on their view of these behaviours in the game engine

Original language	English (Ireland)
Title of host publication	GAME-ON 2009: 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT GAMES AND SIMULATION
Publication status	Published - 1 Aug 2008

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Saunders, D; O'Riordan, C.

Cite this

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title = "Evolving believable behaviours for first person shooter games",

abstract = "This papers presents research in the use of genetic progaramming techniques to generate believable behaviours for NPCs in first person shooter games. NVe use the Quake II game and engine in this work to illustrate on approach. We report aspects of the NPC behaviours deemed unrealistic by a number of human game players. We abstract these scenarios into an abstract game wherein we evolve fit behaviours for our NPCs. These evolved scripts are then placed back into the original Quake II engine. We report on the evolved strategies in the abstract game and also on feedback from a, survey of game players on their view of these behaviours in the game engine",

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year = "2008",

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AB - This papers presents research in the use of genetic progaramming techniques to generate believable behaviours for NPCs in first person shooter games. NVe use the Quake II game and engine in this work to illustrate on approach. We report aspects of the NPC behaviours deemed unrealistic by a number of human game players. We abstract these scenarios into an abstract game wherein we evolve fit behaviours for our NPCs. These evolved scripts are then placed back into the original Quake II engine. We report on the evolved strategies in the abstract game and also on feedback from a, survey of game players on their view of these behaviours in the game engine

M3 - Conference Publication

BT - GAME-ON 2009: 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT GAMES AND SIMULATION

ER -

Evolving believable behaviours for first person shooter games

Abstract

Authors (Note for portal: view the doc link for the full list of authors)

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Cite this