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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Modelo comportamental baseado em crenças e teoria Bayesiana para simulações de vida artificial com humanos virtuais. / Behavioral model based in belief and Bayesian theory for virtual humans simulation in artificial life.

Cavalhieri, Marcos Antonio 11 April 2006 (has links)
O trabalho reúne características relacionadas aos escopos de pesquisa de Vida e Inteligência Artificial, Ciência Cognitiva, e Realidade Virtual. O objetivo primordial é a concepção de um modelo de comportamento autônomo e adaptativo que permita a interação do personagem virtual num ambiente, mesmo dispondo de informações incertas e vagas. Sob esse intuito o projeto desenvolve a conciliação de recursos para tratarem a idéia de racionalizar sobre tais incertezas, promovendo assim, a capacidade de agir assumindo-se alguns riscos decorrentes desse caráter inexato. Por conseqüência, os humanos virtuais são capazes de observarem o ambiente no qual se situam, apresentarem representações internas e racionalizadas dessas informações incertas, que no trabalho são levantadas como crenças, e ainda tomarem decisões baseadas nessas informações. Através do processo de decisão o personagem é capaz de reavaliar as suas crenças; implicando em um comportamento maduro em decorrência dos procedimentos usados para deliberar e realizar ações em um ambiente virtual. / 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.
2

Modelo comportamental baseado em crenças e teoria Bayesiana para simulações de vida artificial com humanos virtuais. / Behavioral model based in belief and Bayesian theory for virtual humans simulation in artificial life.

Marcos Antonio Cavalhieri 11 April 2006 (has links)
O trabalho reúne características relacionadas aos escopos de pesquisa de Vida e Inteligência Artificial, Ciência Cognitiva, e Realidade Virtual. O objetivo primordial é a concepção de um modelo de comportamento autônomo e adaptativo que permita a interação do personagem virtual num ambiente, mesmo dispondo de informações incertas e vagas. Sob esse intuito o projeto desenvolve a conciliação de recursos para tratarem a idéia de racionalizar sobre tais incertezas, promovendo assim, a capacidade de agir assumindo-se alguns riscos decorrentes desse caráter inexato. Por conseqüência, os humanos virtuais são capazes de observarem o ambiente no qual se situam, apresentarem representações internas e racionalizadas dessas informações incertas, que no trabalho são levantadas como crenças, e ainda tomarem decisões baseadas nessas informações. Através do processo de decisão o personagem é capaz de reavaliar as suas crenças; implicando em um comportamento maduro em decorrência dos procedimentos usados para deliberar e realizar ações em um ambiente virtual. / 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.
3

Model autonomní kvadroptéry / Autonomic Quadcopter Model

Medla, Eduard January 2018 (has links)
The aim of this work was to describe available elements from quadcopter model, build the model, describe possible autonomous behavior in space and realize chosen algorithm.
4

An agent framework to support sensor networks’ setup and adaptation

de Freitas, Edison Pignaton, Heimfarth, Tales, Ferreira, Armando Morado, Wagner, Flávio Rech, Pereira, Carlos Eduardo, Larsson, Tony January 2009 (has links)
Sensor networks are being used in several emerging applications not even imagined some years ago due to advances in sensing, computing, and communication techniques. However, these advances also pose various challenges that must be faced. One important challenge is related to the autonomous capability needed to setup and adapt the networks, which decentralizes the control of the network, saving communication and energy resources. Middleware technology helps in addressing this kind of problem, but there is still a need for additional solutions, particularly considering dynamic changes in users' requirements and operation conditions. This paper presents an agent-based framework acting as an integral part of a middleware to support autonomous setup and adaptation of sensor networks. It adds interoperability among heterogeneous nodes in the network, by means of autonomous behavior and reasoning. These features also address the needs for system setup and adaptations in the network, reducing the communication overhead and decentralizing the decision making mechanism. Additionally, preliminary results are also presented.

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