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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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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.
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Showing 51 to 60 of 78 (0.081 seconds)Spelling suggestions: "subject:"goal oriented"" "subject:"coal oriented""
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Adaptive goal oriented action planning for RTS gamesMagnusson, Matteus, Hall, Tobias January 2010 (has links)
This thesis describes the architecture of an adaptive goal-oriented AI system that can be used for Real-Time Strategy games. The system is at the end tested against a single opponent on three different maps with different sizes to test the ability of the AI opposed to the 'standard' Finite State Machines and the likes in Real-Time Strategy games. The system consists of a task handler agent that manages all the active and halted tasks. A task is either low-level; used for ordering units, or high-level that can form advanced strategies. The General forms plans that are most beneficial at the moment. For creating effective units against the opponent a priority system is used; where the unit priorities are calculated dynamically. / Den här uppsatsen beskriver en adaptiv målorienterad AI-arkitektur som kan tillämpas på "Real-Time Strategy" spel. Systemet testat mot en annan AI som använder mer traditionella "Finite State Machines" in sin arkitekture. Testet utförs på tre olika banor som är olika stora. Systemet består utav en "Uppgiftshanterare" som har hand om alla aktiva och inaktiva uppgifter. En uppgift kan antingen vara utav låg-nivå, som används för att skicka kommandon till enheterna, eller utav hög-nivå för att göra mer avancerade strategier. Generalen planerar och skapar uppgifter som är mest fördelaktig för tillfället. För att skapa enheter som är effektiva mot fiendens enheter används ett prioritetssystem, där enhetens prioritet kalkyleras ut dynamiskt under spelets gång.
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Action Planning and Cooperation (APAC) between multiple AI-agents / Actionplanering och Samarbete (APAC) mellan multipla AI-agenterGehlin, Rikard January 2014 (has links)
An architecture for actionbased planning and cooperation between multiple AI-agents based on the GOAP-architecture was developed together with a system to be used in advanced AI-courses at Linköping unversity. The architecture was implemented in this system to show the possibilities of our work.
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Decision-making AI in digital gamesAl Shehabi, Ahmad January 2022 (has links)
The field of artificial intelligence has gained much knowledge through the implementation of decision-making systems in video games. One of these systems was the Goal Oriented Action Planning system (GOAP) which directs the behavior of an AI-agent through multiple digital artifacts categorized as goals, actions, and plans. The aim of the thesis is to aid in the understanding and creation of GOAP driven AI-agents in a video game setting to promote research on this topic. The research question of this thesis was about finding out how the GOAP architecture compares to other video game decision-making systems. The theoretical framework introduces the concept of the illusion of intelligence in video games and presents a discussion focused on the different components which make up a GOAP system and other components that support it. Additionally, the theoretical framework explains the need for a comparison between different decision-making systems and explains the social impact of game AI research. The methods section introduces the criteria for the comparison between GOAP and other decision-making systems and presents a comparison process that was driven by a literature review. A GOAP system was designed for this thesis using the unified modeling language and concept maps. It was then implemented using C# code in a free-of-charge game engine called Unity. We present the pseudocode for the implementation of the GOAP system and show that this framework is a modular, customizable, and reusable system that enables AI-agents to create plans from a varied set of actions. Finally, the paper suggests further research within game decision-making AI and emphasizes the importance of game AI research for communities of game developers, hobbyists, and others who could benefit from game AI in their projects.
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Reablement in Flanders: An exploratory study : The voice of those receiving home care.Jarrey, Michael January 2022 (has links)
Introduction: Primary care in Flanders is undergoing reform. Researchers are looking at ways to understand the context in order to be able to implement person-centred and goal-oriented care approaches such as reablement. Aim: The aim was to illuminate the lived experiences of older people with chronic conditions and what it means to receive paid care at home. Method: Using an interpretative phenomenological analysis approach, this study aimed to understand the lived experience of someone living at home receiving paid care. Results: Six in depth interviews were analysed generating nine themes and related subthemes. Conclusions: The study illuminated the experiences of six people who received care at home and generated themes around autonomy, adaptability, respect, identity, flexibility, self determination, power, acceptance, and control that reflected the literature and concepts around person-centred and goal-oriented care as well as the importance of the role of occupational therapy. Significance: In the Flemish context, this was the first study looking at the experiences of people living at home with paid care and the chances and barriers to reablement and occupational therapy in the community setting.
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[en] GOAL-BASED INVESTMENTS: A DYNAMIC STOCHASTIC PROGRAMMING APPROACH / [pt] POLÍTICA DE INVESTIMENTO ORIENTADA A OBJETIVO DE LONGO PRAZOANDRE FREDERICO MACIEL GUTIERREZ 13 June 2024 (has links)
[pt] O objetivo deste estudo é desenvolver uma política de investimentoque minimize a contribuição total necessária para atingir um objetivofinanceiro a longo prazo. Para atingir este objetivo, desenvolvemos umproblema de otimização multi-estágios que integra um modelo de Markovoculto para captar a dinâmica estocástica dos retornos dos ativos. Aocontrário dos modelos convencionais de otimização de carteiras, que sebaseiam em pressupostos irrealistas, a nossa abordagem baseia-se no quadrode investimentos orientado a objetivos, que proporciona uma solução maisprática e eficaz. Além disso, ao utilizar o modelo de Markov oculto no nossoprocesso de otimização, obtemos uma estimativa mais precisa da dinâmicados retornos dos ativos, o que se traduz numa melhor tomada de decisõesde investimento. Ao utilizar o nosso modelo, a contribuição necessária paraatingir um objetivo financeiro desejado é minimizada através de uma políticade investimento que tem em conta o estado atual da riqueza e as condiçõeseconomicas prevalecentes. / [en] The aim of this study is to develop an investment policy that minimizes
the total contribution required to achieve a long-term financial objective.
To achieve this goal, we developed a multi-stage optimization problem that
integrates a Hidden Markov Model to capture the stochastic dynamics
of asset returns. Unlike conventional portfolio optimization models which
are based on unrealistic assumptions, our approach is based on the goal oriented investment framework which provides a more practical and effective
solution. In addition, by using the Hidden Markov Model in our optimization
process, we obtain a more accurate estimate of the dynamics of asset
returns, which translates into better investment decision-making. By using
our model, the contribution required to achieve a desired financial goal is
minimized through an investment policy that considers current levels of
wealth and prevailing economic conditions.
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| 56 |
Combining Business Intelligence, Indicators, and the User Requirements Notation for Performance MonitoringJohari Shirazi, Iman 26 November 2012 (has links)
Organizations use Business Intelligence (BI) systems to monitor how well they are meeting
their goals and objectives. Yet, very often BI systems do not include clear models of
the organization’s goals or of how to measure whether they are satisfied or not. Several
researchers now attempt to integrate goal models into BI systems, but there are still major
challenges related to how to get access to the BI data to populate the part of the goal
model (often indicators) used to assess goal satisfaction.
This thesis explores a new approach to integrate BI systems with goal models. In
particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI
tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open
source graphical editor for the User Requirements Notation (URN), which includes the
Use Case Map notation for scenarios and processes and the Goal-oriented Requirement
Language for business objectives. URN was recently extended with the concept of Key
Performance Indicator (KPI) to enable performance assessment and monitoring of business
processes. In jUCMNav, KPIs are currently calculated or modified manually. The
new integration proposed in this thesis maps these KPIs to report elements that are generated
automatically by Cognos based on the model defined in jUCMNav at runtime, with
minimum effort. We are using IBM Cognos Mashup Service, which includes web services
that enable the retrieval of report elements at the most granular level. This transformation
provides managers and analysts with useful goal-oriented and process-oriented
monitoring views fed by just-in-time BI information. This new solution also automates
retrieving data from Cognos servers, which helps reducing the high costs usually caused
by the amount of manual work required otherwise.
The novel approach presented in this thesis avoids manual report generation and
minimizes any contract with respect to the location of manually created reports, hence
leading to better usability and performance. The approach and its tool support are illustrated
with an ongoing example, validated with a case study, and verified through testing.
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| 57 |
Combining Business Intelligence, Indicators, and the User Requirements Notation for Performance MonitoringJohari Shirazi, Iman 26 November 2012 (has links)
Organizations use Business Intelligence (BI) systems to monitor how well they are meeting
their goals and objectives. Yet, very often BI systems do not include clear models of
the organization’s goals or of how to measure whether they are satisfied or not. Several
researchers now attempt to integrate goal models into BI systems, but there are still major
challenges related to how to get access to the BI data to populate the part of the goal
model (often indicators) used to assess goal satisfaction.
This thesis explores a new approach to integrate BI systems with goal models. In
particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI
tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open
source graphical editor for the User Requirements Notation (URN), which includes the
Use Case Map notation for scenarios and processes and the Goal-oriented Requirement
Language for business objectives. URN was recently extended with the concept of Key
Performance Indicator (KPI) to enable performance assessment and monitoring of business
processes. In jUCMNav, KPIs are currently calculated or modified manually. The
new integration proposed in this thesis maps these KPIs to report elements that are generated
automatically by Cognos based on the model defined in jUCMNav at runtime, with
minimum effort. We are using IBM Cognos Mashup Service, which includes web services
that enable the retrieval of report elements at the most granular level. This transformation
provides managers and analysts with useful goal-oriented and process-oriented
monitoring views fed by just-in-time BI information. This new solution also automates
retrieving data from Cognos servers, which helps reducing the high costs usually caused
by the amount of manual work required otherwise.
The novel approach presented in this thesis avoids manual report generation and
minimizes any contract with respect to the location of manually created reports, hence
leading to better usability and performance. The approach and its tool support are illustrated
with an ongoing example, validated with a case study, and verified through testing.
|
| 58 |
Combining Business Intelligence, Indicators, and the User Requirements Notation for Performance MonitoringJohari Shirazi, Iman January 2012 (has links)
Organizations use Business Intelligence (BI) systems to monitor how well they are meeting
their goals and objectives. Yet, very often BI systems do not include clear models of
the organization’s goals or of how to measure whether they are satisfied or not. Several
researchers now attempt to integrate goal models into BI systems, but there are still major
challenges related to how to get access to the BI data to populate the part of the goal
model (often indicators) used to assess goal satisfaction.
This thesis explores a new approach to integrate BI systems with goal models. In
particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI
tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open
source graphical editor for the User Requirements Notation (URN), which includes the
Use Case Map notation for scenarios and processes and the Goal-oriented Requirement
Language for business objectives. URN was recently extended with the concept of Key
Performance Indicator (KPI) to enable performance assessment and monitoring of business
processes. In jUCMNav, KPIs are currently calculated or modified manually. The
new integration proposed in this thesis maps these KPIs to report elements that are generated
automatically by Cognos based on the model defined in jUCMNav at runtime, with
minimum effort. We are using IBM Cognos Mashup Service, which includes web services
that enable the retrieval of report elements at the most granular level. This transformation
provides managers and analysts with useful goal-oriented and process-oriented
monitoring views fed by just-in-time BI information. This new solution also automates
retrieving data from Cognos servers, which helps reducing the high costs usually caused
by the amount of manual work required otherwise.
The novel approach presented in this thesis avoids manual report generation and
minimizes any contract with respect to the location of manually created reports, hence
leading to better usability and performance. The approach and its tool support are illustrated
with an ongoing example, validated with a case study, and verified through testing.
|
| 59 |
English as a medium of instruction: the relationship between motivation and English second language proficiencyMadileng, Mary Mmatsatsi 06 1900 (has links)
In order to research the limited English proficiency of First Year National Intermediate Certificate students at the Further Education and Training College of Ekurhuleni West, the researcher investigated various motivation variables, namely:
* socio-psychological factors
* learner factors
* parental involvement and
* contextual factors related to the influence of the school and classroom
A review of literature and empirical research methods were used to this effect. The literature review revealed that instrumental and integrative motivation, self-determination and goal orientedness, parental support and school and classroom context factors contributed to the development of ESL proficiency.
A motivation questionnaire and an English proficiency test were administered to the participants. The results indicated no significant relationship between the learner's level of ESL proficiency and motivation variables. These findings form the basis for recommending specific guidelines for possible directions for future research. / Linguistics / M.A. (Specialisation in Applied Linguistics)
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| 60 |
"Miss Kathy"Alexander, Jeffrey, 1982- 05 1900 (has links)
Miss Kathy is a documentary film that tells the story of Kathy Griffin-Grinan, a lead recovery coach for prostitution and human trafficking with the Harris County Sheriff’s Office. Her non-profit organization —We’ve Been There, Done That – works in conjunction with law-enforcement to offer the survivors of prostitution a chance at rehabilitation. With endless enthusiasm, she mentors survivors as they struggle to escape a destructive lifestyle. This film also explores the relationship between human trafficking and prostitution, while addressing issues of victimization and exploitation.
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