Extended Behavior Networks and Agent Personality: Investigating the Design of Character Stereotypes in the Game Unreal Tournament

Pinto, Hugo da Silva Corrêa; Älvares, Luís Otávio

doi:10.1007/11550617_35

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Its action selection mechanism is based on a Behavior Network which provides a certain level of flexibility to the behavior generation mechanism. The Behavior Network is an action selection mechanism originally introduced by Maes (1989) and, after some criticism (Tyrrell, 1993), further extended by others (Goetz, 1997;Goetz & Walters, 1997;Dorer, 2004;Pinto, 2005;Pinto & Alvares, 2005).…”

Section: The Action Selection System In Cace-camentioning

confidence: 99%

A Scene-Based Episodic Memory System for a Simulated Autonomous Creature

Castro

Gudwin

2013

International Journal of Synthetic Emotions

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In this paper the authors present the development of a scene-based episodic memory module for the cognitive architecture controlling an autonomous virtual creature, in a simulated 3D environment. The scene-based episodic memory has the role of improving the creature’s navigation system, by evoking the objects to be considered in planning, according to episodic remembrance of earlier scenes testified by the creature where these objects were present in the past. They introduce the main background on human memory systems and episodic memory study, and provide the main ideas behind the experiment.

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Section: The Action Selection System In Cace-camentioning

confidence: 99%

A Scene-Based Episodic Memory System for a Simulated Autonomous Creature

Castro

Gudwin

2013

International Journal of Synthetic Emotions

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Creating Adaptive and Individual Personalities in Many Characters Without Hand-Crafting Behaviors

Sandercock

Padgham

Zambetta

2006

Intelligent Virtual Agents

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Abstract. Believable characters significantly increase the immersion of users or players in interactive applications. A key component of believable characters is their personality, which has previously been implemented statically using the time consuming task of hand-crafting individuality for each character. Often personality has been modeled based on theories that assume behavior is the same regardless of situation and environment. This paper presents a simple affective and cognitive framework for interactive entertainment characters that allows adaptation of behavior based on the environment and emotions. Different personalities are reflected in behavior preferences which are generated based on individual experience. An initial version of the framework has been implemented in a simple scenario to explore which parameters have the greatest effect on agent diversity.

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Extended Behavior Networks and Agent Personality: Investigating the Design of Character Stereotypes in the Game Unreal Tournament

Cited by 2 publications

References 5 publications

A Scene-Based Episodic Memory System for a Simulated Autonomous Creature

A Scene-Based Episodic Memory System for a Simulated Autonomous Creature

Creating Adaptive and Individual Personalities in Many Characters Without Hand-Crafting Behaviors

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