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Alex Marquez

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Papers by Alex Marquez

Research paper thumbnail of Deriving Behavior from Personality: A Reinforcement Learning Approach

Creating artificial intelligent agents that are high-fidelity simulations of natural agents will ... more Creating artificial intelligent agents that are high-fidelity simulations of natural agents will require that behavioral scientists be able to write code themselves, not merely act as consultants with the ensuing knowledge acquisition bottleneck. We are designing a system that will make it possible to create rich agents using concepts familiar to behavioral scientists, such as personality models from psychology. However, translating personality models into the concrete behavior of an agent using currently available programming constructs would require a level of code complexity that would make the system inaccessible to behavioral scientists. What we need is a way to derive the concrete actions of an agent directly from psychological personality models. This paper describes a reinforcement learning approach to solving this problem in which we represent trait-theoretic personality models as reinforcement learning agents. We validate our approach by creating a virtual reconstruction of a psychology experiment using human subjects and showing that our virtual agents exhibit similar behavior patterns.

Research paper thumbnail of Panel: Video Game Financing

Research paper thumbnail of Main Morphological Characteristics of Tubular Polymeric Scaffolds to Promote Peripheral Nerve Regeneration—A Scoping Review

Polymers, 2021

The “nerve guide conduits” (NGC) used in nerve regeneration must mimic the natural environment fo... more The “nerve guide conduits” (NGC) used in nerve regeneration must mimic the natural environment for proper cell behavior. Objective: To describe the main morphological characteristics of polymeric NGC to promote nerve regeneration. Methods: A scoping review was performed following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) criteria in the PubMed, Web of Science, Science Direct, and Scientific Electronic Library Online (SciELO) databases. Primary studies that considered/evaluated morphological characteristics of NGC to promote nerve regeneration were included. Result: A total of 704 studies were found, of which 52 were selected. The NGC main morphological characteristics found in the literature were: (I) NGC diameter affects the mechanical properties of the scaffold. (II) Wall thickness of NGC determines the exchange of nutrients, molecules, and neurotrophins between the internal and external environment; and influ...

Research paper thumbnail of Deriving Behavior from Personality: A Reinforcement Learning Approach

Creating artificial intelligent agents that are high-fidelity simulations of natural agents will ... more Creating artificial intelligent agents that are high-fidelity simulations of natural agents will require that behavioral scientists be able to write code themselves, not merely act as consultants with the ensuing knowledge acquisition bottleneck. We are designing a system that will make it possible to create rich agents using concepts familiar to behavioral scientists, such as personality models from psychology. However, translating personality models into the concrete behavior of an agent using currently available programming constructs would require a level of code complexity that would make the system inaccessible to behavioral scientists. What we need is a way to derive the concrete actions of an agent directly from psychological personality models. This paper describes a reinforcement learning approach to solving this problem in which we represent trait-theoretic personality models as reinforcement learning agents. We validate our approach by creating a virtual reconstruction of a psychology experiment using human subjects and showing that our virtual agents exhibit similar behavior patterns.

Research paper thumbnail of Panel: Video Game Financing

Research paper thumbnail of Main Morphological Characteristics of Tubular Polymeric Scaffolds to Promote Peripheral Nerve Regeneration—A Scoping Review

Polymers, 2021

The “nerve guide conduits” (NGC) used in nerve regeneration must mimic the natural environment fo... more The “nerve guide conduits” (NGC) used in nerve regeneration must mimic the natural environment for proper cell behavior. Objective: To describe the main morphological characteristics of polymeric NGC to promote nerve regeneration. Methods: A scoping review was performed following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) criteria in the PubMed, Web of Science, Science Direct, and Scientific Electronic Library Online (SciELO) databases. Primary studies that considered/evaluated morphological characteristics of NGC to promote nerve regeneration were included. Result: A total of 704 studies were found, of which 52 were selected. The NGC main morphological characteristics found in the literature were: (I) NGC diameter affects the mechanical properties of the scaffold. (II) Wall thickness of NGC determines the exchange of nutrients, molecules, and neurotrophins between the internal and external environment; and influ...

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