An artificial life approach for the animation of cognitive characters

Miranda, Fábio Roberto; Kögler, João Eduardo; Del-Moral-Hernandez, Emílio; Netto, Marcio Lobo

doi:10.1016/s0097-8493(01)00151-0

Cited by 14 publications

(4 citation statements)

References 4 publications

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“…Artificial life has emerged from the interaction of biology and computer science and benefited from the important contribution in physics, mathematics, cognitive sciences and philosophy. Artificial life is rapidly developing and has already been utilized in evolutionary computing in machine perception [7], computer cognitive animation [8], optimization system problem [9], optimum design of short journal bearings and digital image processing, and so on.…”

Section: Artificial Life Cooperation Principlementioning

confidence: 99%

Artificial Life Cooperation Principle for Wireless Network Distributed System Design

Zhang

Liu

Tang

et al. 2012

AMR

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Wireless network distributed systems have become commonplace due to the wide availability of low-cost, high performance computers and network devices. With the increase of slave nodes of distributed systems, the performance of distributed systems often fall significantly or management infrastructure of distributed systems often does not scale well. Wireless network distributed system design method of using artificial life cooperation principle is proposed. Design principle of mutual cooperation among slave nodes and open wireless communication links of wireless network distributed systems make the topology of distributed system is able to handle the dynamic increase of system size and recover the unexpected failure of system services. The proposed design method for constructing distributed systems could optimize the scalability and reliability of distributed systems.

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Section: Artificial Life Cooperation Principlementioning

confidence: 99%

Artificial Life Cooperation Principle for Wireless Network Distributed System Design

Zhang

Liu

Tang

et al. 2012

AMR

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show abstract

“…The field of artificial life has emerged through the interaction of biology and computer science, but also with important contribution from research in physics, mathematics, cognitive sciences and philosophy. It is rapidly developing and has already be utilized in computer cognitive animation [5], constraint satisfaction problem [6], optimum design of short journal bearings [7] and image processing [8] and so on.…”

Section: Artificial Lifementioning

confidence: 99%

Artificial Life for Pavement Distress Survey

Wang

Zhang

2005

KEM

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Automatic recognition of road distresses is of considerable interest since it facilitates road maintenance. We propose the use of artificial life for pavement distress survey. All artificial organisms in the artificial life algorithm exhibit the principle of cooperation which can be found in computer virtues and the hunting process of predators. Experimental results demonstrate that the proposed approach has a strong effect on noise removal such as elimination of oil stains and removal of dark spots which is one of the most difficult problems in pavement distress survey

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“…Estes trabalhos serviram de apoio na especificação de um framework que descrevesse o comportamento dos personagens, além de ajudarem na contextualização dentro do escopo de Vida Artificial (Netto, 2006). Enquanto o Projeto do WOXBOT (Miranda, 2001)…”

Section: Motivaçãounclassified

“…É interessante ressaltar que esses trabalhos também contribuem significativamente para a área de Computação Gráfica, pois a animação desses personagens é conseguida como produto final do processo evolutivo. Outro trabalho que segue essa mesma linha de evolução do filo é o projeto WOXBOT (Miranda, 2001 (Terzopoulos, 1999), (Terzopoulos, 2006). Seguindo essa abordagem de pesquisa, o projeto ALGA lida com peixes virtuais que desenvolvem aspectos relacionados à capacidade de aprendizado (Netto, 2004).…”

Section: Principais Trabalhos E Simulaçõesunclassified

Modelo comportamental baseado em crenças e teoria Bayesiana para simulações de vida artificial com humanos virtuais.

Cavalhieri¹

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This work puts together features related to the research areas of Artificial Life, Artificial Intelligence, Cognitive Science and Virtual Reality. The main goal of this work is the conception of an adaptive and autonomous behavior model which alows the interaction, even with uncertain information, between a virtual character and an environment. Therefore, resources are organized to be handled rationally with uncertainties, thus, the ability to act assuming some risks of this inexact aspect are granted. The results enable the virtual humans to observe their environment, to present internal and rationalized representations of this uncertain information, represented in this work as beliefs, and taking decisions based on this information. Through the decision process, the character can re-evaluate its beliefs; which imply in a mature behavior, as a consequence of how procedures are used to deliberate and to perform actions in a virtual environment. v SUMÁRIO

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An artificial life approach for the animation of cognitive characters

Cited by 14 publications

References 4 publications

Artificial Life Cooperation Principle for Wireless Network Distributed System Design

Artificial Life Cooperation Principle for Wireless Network Distributed System Design

Artificial Life for Pavement Distress Survey

Modelo comportamental baseado em crenças e teoria Bayesiana para simulações de vida artificial com humanos virtuais.

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