Rapid and Reliable Adaptation of Video Game AI

Bakkes, Sander; Spronck, Pieter; Herik, Jaap van den

doi:10.1109/tciaig.2009.2029084

Cited by 54 publications

(27 citation statements)

References 13 publications

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“…In fact, some researchers have criticized the limited character of game AI as one of the major shortcomings of current digital experiences and have focused on providing adaptive game AI using methods such as case-based reasoning or reinforcement learning (see e.g. [2,12,13]). …”

Section: Related Workmentioning

confidence: 99%

Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments

Seele¹,

Herpers²,

Bauckhage³

2012

Lecture Notes in Computer Science

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Abstract. Traffic simulations in current open world video games and driving simulators are still limited with respect to the complexity of the behavior of simulated agents. These limitations are typically due to scarce computational resources, but also to the applied methodologies. We suggest adding cognitive components to traffic agents in order to achieve more realistic behavior, such as opting for risky actions or occasionally breaking traffic rules. To achieve this goal, we start by adding a personality profile to each agent, which is based on the "Five Factor Model" from psychology. We test our enhancement on a specific traffic scenario where simplistic behaviors would lead to a complete standstill of traffic. Our results show that the approach resolves critical situations and keeps traffic flowing.

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Section: Related Workmentioning

confidence: 99%

Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments

Seele¹,

Herpers²,

Bauckhage³

2012

Lecture Notes in Computer Science

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“…Implementation-based adaptation [9]- [11]: acts on the modification of internal behavior of componentsas, for example, changing their algorithmic basis.…”

Section: Introductionmentioning

confidence: 99%

XML-Based Approach for Evolving Web Service Architectures Description

Guennoun¹,

Wahbi²

2014

LNSE

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Abstract-Current applications have characteristics related to the variability of both execution context (available resources) and user requirements (functional goals). Adaptability of software applications is precisely their ability to evolve in order to react,in the most possible optimal way, to these two types of variation. Designing and implementing such adaptation policy requires, first, be able to describe the current state of the application. This can match, according to the considered approach, the description of the application from the behavioral perspective or its description by considering the architectural point of view. This paper considers the second option targeting the Web Service technology. It introduces a sub language of the XML meta-language whose purpose is to provide a highlyexpressive description of software architectures. The use of XML allowshaving homogeneous description with respect to the description of elementary entities (i.e. Web Services) using another XML sub language, WSDL.

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“…However, the first problem facing a game designer wanting to incorporate PCG techniques is the loss of control over the generated content. One of the main arguments against procedural content generation by the representatives of the gaming industry, at least when discussing online content generation, difficulty scaling [1] and artificial intelligence adaptation [2], is the lack of reliability. Due to the manner in which most commercial games are designed, presenting content that is unplayable to the player is simply unacceptable [3].…”

Section: Introductionmentioning

confidence: 99%

An approach to level design using procedural content generation and difficulty curves

Díaz-Furlong

Cosio

2013

2013 IEEE Conference on Computational Inteligence in Games (CIG)

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Abstract-Level design is an art which consists of creating the combination of challenge, competition, and interaction that players call fun and involves a careful and deliberate development of the game space. When working with procedural content generation, it is necessary to review how the game designer sets the change in difficulty throughout the different levels. In this paper we present a procedural level generator that can be used for different games and is based on a genetic algorithm. We define a fitness function that does not depend on the game or content type. This function calculates the difference between the difficulty curve defined by the designer and the difficulty curve calculated for the candidate content, so the best content is the one whose difficulty curve best fits the desired curve. To design our generator, we rely on the concept of flow, theories of fun and game design.

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Rapid and Reliable Adaptation of Video Game AI

Cited by 54 publications

References 13 publications

Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments

Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments

XML-Based Approach for Evolving Web Service Architectures Description

An approach to level design using procedural content generation and difficulty curves

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