activity
20172025
most citedTeach me to play, gamer! Imitative learning in computer games via linguistic description of complex phenomena and decision tree

2 citations · 2 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CY2025

Teaching Programming in the Age of Generative AI: Insights from Literature, Pedagogical Proposals, and Student Perspectives

Clemente Rubio-Manzano, Jazna Meza, Rodolfo Fernandez-Santibanez +1

Computer programming is undergoing a true transformation driven by powerful new tools for automatic source code generation based on large language models. This transformation is al…

cs.LG2021★ 2 cited

Teach me to play, gamer! Imitative learning in computer games via linguistic description of complex phenomena and decision tree

Clemente Rubio-Manzano, Tomas Lermanda, CLaudia Martinez +2

In this article, we present a new machine learning model by imitation based on the linguistic description of complex phenomena. The idea consists of, first, capturing the behaviour…

cs.AI2017

On the incorporation of interval-valued fuzzy sets into the Bousi-Prolog system: declarative semantics, implementation and applications

Clemente Rubio-Manzano, Martin Pereira-Fariña

In this paper we analyse the benefits of incorporating interval-valued fuzzy sets into the Bousi-Prolog system. A syntax, declarative semantics and im- plementation for this extens…

cs.AI2017

How linguistic descriptions of data can help to the teaching-learning process in higher education, case of study: artificial intelligence

Clemente Rubio-Manzano, Tomas Lermanda Senoceain

Artificial Intelligence is a central topic in the computer science curriculum. From the year 2011 a project-based learning methodology based on computer games has been designed and…