Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"behavior tree"”.
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Building Modular, Human-Interpretable AI Systems with Behavior Trees
Behavior Trees provide a structure to control the execution and switching of tasks and actions for autonomous agents, such as game characters or robots. Complex behaviors or tasks can be compartmentalized into sub-problems that correspond to actions. These actions become leaves of behavior tree, …
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Modelling Artificial Intelligence in Games Using MindSet Behavior Trees
Behavior trees are a popular way of structuring artificial intelligence in games and other virtual reality applications. A behavior tree is a model of plan execution and is graphically represented as a tree. Nodes in a behavior tree either encapsulate actions to be performed or act as control flow …
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Interfaces for alternatives, difference visualizations and collaborative authoring of behavior trees
A visual behavior authoring framework for exploring and comparing multiple game AI behavior alternatives is presented. A mixed method study revealed participants rated it higher compared to the control framework. Mostly positive feedback was also obtained in a semi-structured interview and a …
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The effectiveness of interpretation in reducing depreciative behavior in modern campgrounds
Depreciative behavior is a major problem for managers of recreation areas and for visitors of these areas. Providing information has been suggested as a potential solution to this management problem. The purpose of this study was to test the effectiveness of interpretation/information and determine …
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Hierarchical Behavior Models for Characterizing Trajectories within Terminal Airspace
… exhibit repeatable patterns. These patterns, or behaviors, may often contain sub-patterns, suggesting that the nature of aircraft behaviors in terminal airspace is hierarchical. While current methods for identifying patterns within historical ight track data use a at clustering approach, a …
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Model-Based Learning and Planning for Intelligent Manipulation Using Probabilistic Hybrid Models
… and dexterous interactions. Although designing behavior tree may work as short-term hotfix for simple manipulation tasks, such approach is not scalable as the complexity of the desired skill increases. Modern deep reinforcement learning techniques have shown good performances in learning …