Computational Model of Motor Decision Making for Virtual Creatures Based on Neurosciences
Cervantes' research interests include brain-inspired cognitive architectures for artificial intelligence, artificial ethical agents, brain-computer interfaces for therapeutic purposes, and the design of social robots for therapeutic purposes.
José Antonio Cervantes received the B.S. degree in computational systems from the Instituto Tecnológico de Jiquilpan, Mexico in 2003, and the M.S. degree in computer science from the Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET), Mexico in 2005, and Ph.D. degree in electronic engineering from the Centro de Investigación y de Estudios Avanzados del IPN (CINVESTAV), Mexico in 2015.
Since 2017, he has been an Associate Professor with the Computational Sciences and Engineering Department, Universidad de Guadalajara. Due to his career as a researcher, Dr. Cervantes has been distinguished by the Mexican Council of Science and Technology (CONACYT) as a member of the national system of researchers (from 2017 to today). Also, Dr. Cervantes has been awarded as a higher education lecturer with a desirable profile by the Undersecretariat for Higher Education, General Management of University Higher Education, PRODEP-DSA from SEP (Ministry of Public Education), Mexico (from 2018 to today).
- Visuospatial Working Memory for Autonomous UAVs: A Bio-Inspired Computational Model (July 2021)
- Toward ethical cognitive architectures for the development of artificial moral agents (September 2020)
- Artificial Moral Agents: A Survey of the Current Status (April 2020)
- Binary Pattern Descriptors for Scene Classification (March 2020)
- The Plausibility of Using Unmanned Aerial Vehicles as a Serious Game for Dealing with Attention Deficit-Hyperactivity Disorder (September 2019)
- Search for an Appropriate Behavior within the Emotional Regulation in Virtual Creatures Using a Learning Classifier System (October 2017)
- Integrating a Cognitive Computational Model of Planning and Decision-Making Considering Affective Information (March 2017)