T
Tomas Trescak
Researcher at University of Sydney
Publications - 44
Citations - 381
Tomas Trescak is an academic researcher from University of Sydney. The author has contributed to research in topics: Metaverse & Instructional simulation. The author has an hindex of 10, co-authored 42 publications receiving 328 citations. Previous affiliations of Tomas Trescak include Spanish National Research Council & Autonomous University of Barcelona.
Papers
More filters
Proceedings ArticleDOI
General Shape Grammar Interpreter for Intelligent Designs Generations
TL;DR: This work presents a general tool named Shape Grammar Interpreter (SGI) for the automatic generation of designs and implemented and incorporated in the tool an optimized subshape detection algorithm so that subshapes of the existing shapes can be detected in the generation process obtaining more appealing designs.
Journal ArticleDOI
Virtual worlds vs books and videos in history education
TL;DR: A virtual reality replica of one of humanity's first cities, the city of Uruk, is created and populated with AI-controlled 3D avatars, which re-enact everyday life of ancient Sumerians in the period around 3000 B.C.
Journal ArticleDOI
A Virtual World Grammar for automatic generation of virtual worlds
TL;DR: A system that can automatically generate a 3D virtual world from an organization based multiagent system (MAS) specification that establishes the activities participants can engage on and a Virtual World Grammar to support the generation process of a virtual world design is proposed.
Journal ArticleDOI
A shape grammar interpreter for rectilinear forms
TL;DR: The developed shape grammar framework allows designers to automatically synthetize designs and to actively participate in the generation process and the architecture of the framework is described and a performance evaluation of proposed algorithms shows a significant gain in performance.
Journal ArticleDOI
What makes virtual agents believable
TL;DR: The results of the study indicate that virtual agents that appear resource bounded, are aware of their environment, own interaction capabilities and their state in the world, agents that can adapt to changes in the environment and exist in correct social context are those that are being perceived as more believable.