Diana Gómez

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About: 

Currently, she is Ph.D. student at Cinvestav IPN, Unidad Guadalajara. She is part of the Distributed & Multi-Agents Systems group, in the area of Bio-Inspired Cognitive Architectures.

Main research interest includes Distributed Systems, Cognitive Architectures, Computational Neuroscience, Artificial Intelligence, Multi-Agents Systems, Programming, among others.

Research: 

A computational model of motivation based on physiological state and incentive value: a neuroscientific perspective.

Research Abstract: 

Project: Cuayollotl —A Bio-inspired Cognitive Architecture

We are working on the development of a computational architecture of motivation based on Neuroscience and Psychology. Motivation is a process that begins a guided behavior and holds it, based on an impulse or stimuli arising in the human form internal o external.

The internal impulses are only physiological needs that it is the result of homeostatic imbalance. Some physiological needs are hunger, thirst, corporal temperature, sleep, etc. Thus, the impulse starts a behavior, satisfied the need, and to finishes the behavior, with the objective of return a homeostatic or stable state.

Besides homeostatic influences to satisfy a need, there are hedonic, where the emotional system plays a role important.

Biography: 
  • Computer Engineering (2014), Universidad Autónoma del Estado de México (UAEMéx), Toluca, México.
  • Master of Engineering Science (2018), Universidad Autónoma del Estado de México (UAEMéx), Toluca, México.

Publications:
  • Gómez-Martínez, D. G., Ramos, M., del Valle-Padilla, J. L., Rosales, J.-H., Robles, F., & Ramos, F. (2021). A bioinspired model of short-term satiety of hunger influenced by food properties in virtual creatures. In Cognitive Systems Research (Vol. 66, pp. 46–66). Elsevier BV. https://doi.org/10.1016/j.cogsys.2020.10.008
  • Gómez-Martínez, D. G., Rosales, J.-H., Muñoz-Jiménez, V., Ramos, F., & Ramos, M. (2018). A bio-inspired self-responding emotional behavior system for virtual creatures. In Biologically Inspired Cognitive Architectures (Vol. 26, pp. 26–40). Elsevier BV. https://doi.org/10.1016/j.bica.2018.07.012