295 citations · 1.1k across the 17 of their papers we have counts for
8 papers · 1 filter
Best uses of ChatGPT and Generative AI for computer science research
Eduardo C. Garrido-Merchan
Generative Artificial Intelligence (AI), particularly tools like OpenAI's popular ChatGPT, is reshaping the landscape of computer science research. Used wisely, these tools can boo…
An Artificial Consciousness Model and its relations with Philosophy of Mind
Eduardo C. Garrido-Merchán, Martin Molina, Francisco M. Mendoza
This work seeks to study the beneficial properties that an autonomous agent can obtain by implementing a cognitive architecture similar to the one of conscious beings. Along this d…
Fuzzy Stochastic Timed Petri Nets for Causal properties representation
Alejandro Sobrino, Eduardo C. Garrido-Merchan, Cristina Puente
Imagery is frequently used to model, represent and communicate knowledge. In particular, graphs are one of the most powerful tools, being able to represent relations between object…
Fake News Detection by means of Uncertainty Weighted Causal Graphs
Eduardo C. Garrido-Merchán, Cristina Puente, Rafael Palacios
Society is experimenting changes in information consumption, as new information channels such as social networks let people share news that do not necessarily be trust worthy. Some…
A Machine Consciousness architecture based on Deep Learning and Gaussian Processes
Eduardo C. Garrido Merchán, Martín Molina
Recent developments in machine learning have pushed the tasks that machines can do outside the boundaries of what was thought to be possible years ago. Methodologies such as deep l…
Towards Automatic Bayesian Optimization: A first step involving acquisition functions
Eduardo C. Garrido Merchán, Luis C. Jariego Pérez
Bayesian Optimization is the state of the art technique for the optimization of black boxes, i.e., functions where we do not have access to their analytical expression nor its grad…
Uncertainty Weighted Causal Graphs
Eduardo C. Garrido-Merchán, C. Puente, A. Sobrino +1
Causality has traditionally been a scientific way to generate knowledge by relating causes to effects. From an imaginery point of view, causal graphs are a helpful tool for represe…
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization
Eduardo C. Garrido-Merchán, Alejandro Albarca-Molina
Cooking typically involves a plethora of decisions about ingredients and tools that need to be chosen in order to write a good cooking recipe. Cooking can be modelled in an optimiz…