What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Algebra
- Programming language
The scientist’s investigation covers issues in Fuzzy logic, Artificial intelligence, Discrete mathematics, T-norm fuzzy logics and Fuzzy set.
His research in Fuzzy logic intersects with topics in Axiom, Gödel's completeness theorem, Many-valued logic and Completeness.
His Many-valued logic research is multidisciplinary, incorporating elements of Probabilistic logic and Predicate functor logic.
His Discrete mathematics research incorporates themes from Monoidal t-norm logic and Product, Algebra.
Within one scientific family, Lluís Godo focuses on topics pertaining to T-norm under Monoidal t-norm logic, and may sometimes address concerns connected to Dynamic logic.
The concepts of his Fuzzy set study are interwoven with issues in Autonomous agent and Computational model.
His most cited work include:
- Monoidal t-norm based logic : towards a logic for left-continuous t-norms (776 citations)
- Basic Fuzzy Logic is the logic of continuous t-norms and their residua (275 citations)
- Residuated fuzzy logics with an involutive negation (165 citations)
What are the main themes of his work throughout his whole career to date?
Lluís Godo spends much of his time researching Fuzzy logic, Artificial intelligence, Discrete mathematics, T-norm fuzzy logics and Algebra.
His Fuzzy logic research includes themes of Theoretical computer science and Calculus.
His biological study spans a wide range of topics, including Machine learning and Argumentation theory.
His work on Propositional calculus as part of his general Discrete mathematics study is frequently connected to Completeness, thereby bridging the divide between different branches of science.
His work is dedicated to discovering how T-norm fuzzy logics, Monoidal t-norm logic are connected with T-norm and other disciplines.
His Algebra research includes elements of Modal logic and Multimodal logic.
He most often published in these fields:
- Fuzzy logic (35.82%)
- Artificial intelligence (34.63%)
- Discrete mathematics (21.79%)
What were the highlights of his more recent work (between 2014-2021)?
- Fuzzy logic (35.82%)
- Artificial intelligence (34.63%)
- Discrete mathematics (21.79%)
In recent papers he was focusing on the following fields of study:
His main research concerns Fuzzy logic, Artificial intelligence, Discrete mathematics, Algebra and Theoretical computer science.
In the subject of general Fuzzy logic, his work in T-norm fuzzy logics is often linked to Class, thereby combining diverse domains of study.
His research integrates issues of Monoidal t-norm logic and Łukasiewicz logic in his study of T-norm fuzzy logics.
His studies in Artificial intelligence integrate themes in fields like Machine learning, Operational semantics and Limit.
The Discrete mathematics study combines topics in areas such as Calculus and Product.
His Theoretical computer science research integrates issues from Fuzzy set and Propositional calculus.
Between 2014 and 2021, his most popular works were:
- A comprehensive study of implicator-conjunctor-based and noise-tolerant fuzzy rough sets: Definitions, properties and robustness analysis (47 citations)
- On modal extensions of Product fuzzy logic (29 citations)
- Probabilistic Planning in AgentSpeak using the POMDP framework. (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algebra
- Programming language
Lluís Godo focuses on Fuzzy logic, Discrete mathematics, Artificial intelligence, Theoretical computer science and Algebra.
His work often combines Fuzzy logic and Preference studies.
His work carried out in the field of Discrete mathematics brings together such families of science as T-norm fuzzy logics, Calculus and Product.
His studies deal with areas such as Monoidal t-norm logic and Łukasiewicz logic as well as T-norm fuzzy logics.
His Artificial intelligence study integrates concerns from other disciplines, such as Computational complexity theory and State.
His Algebra research integrates issues from Modal logic, Possibilistic logic and Natural semantics.
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