Monte Carlo Simulation Generation Through Operationalization of Spatial Primitives

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dc.contributor.advisor Pustejovsky, James
dc.contributor.author Krishnaswamy, Nikhil
dc.date.accessioned 2017-08-25T16:05:51Z
dc.date.available 2017-08-25T16:05:51Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/10192/34111
dc.description.abstract Much existing work in text to scene generation focuses on generating static scenes, which leaves aside entire word classes such as motion verbs. This thesis introduces a system for generating animated visualizations of motion events by integrating dynamic semantics into a formal model of events, resulting in a simulation of an event described in natural language. Visualization, herein defined as a dynamic three-dimensional simulation and rendering that satisfies the constraints of an associated minimal model, provides a framework for evaluating the properties of spatial predicates in real-time, but requires the specification of values and parameters that can be left underspecified in the model. Thus, there remains the matter of determining what, if any, the “best” values of those parameters are. This research explores a method of using a three-dimensional simulation and visualization interface to determine prototypical values for underspecified parameters of motion predicates, built on a game engine-based platform that allows the development of semantically-grounded reasoning components in areas in the intersection of theoretical reasoning and AI. en_US
dc.description.sponsorship Brandeis University, Graduate School of Arts and Sciences en_US
dc.format.mimetype application/pdf
dc.language English
dc.language.iso eng
dc.publisher Brandeis University
dc.relation.ispartofseries Brandeis University Theses and Dissertations
dc.rights Copyright by Nikhil Krishnaswamy 2017
dc.subject Artificial intelligence
dc.subject Computational linguistics
dc.subject Simulation
dc.subject Spatial reasoning
dc.title Monte Carlo Simulation Generation Through Operationalization of Spatial Primitives
dc.type Thesis
dc.contributor.department Department of Computer Science
dc.degree.name PhD
dc.degree.level Doctoral
dc.degree.discipline Computer Science
dc.degree.grantor Brandeis University, Graduate School of Arts and Sciences


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