Luis R. Izquierdo

Prof. Luis R. Izquierdo


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 November 2010 in Journal of Theoretical Biology
Verified
Journal Article
Closed access
SISegismundo Izquierdo
Segismundo Izquierdo
LILuis R. Izquierdo
Luis R. Izquierdo
FVFernando Vega-Redondo
Fernando Vega-Redondo

1 November 2007 in Games and Economic Behavior
Verified
Journal Article
Closed access
LILuis R. Izquierdo
Luis R. Izquierdo
SISegismundo Izquierdo
Segismundo Izquierdo
NGNicholas M. Gotts
Nicholas M. Gotts
JPJ. Gary Polhill
J. Gary Polhill

1 September 2012 in Environmental Innovation and Societal Transitions
Verified
Journal Article
Closed access
KFKoen Frenken
Koen Frenken
LILuis R. Izquierdo
Luis R. Izquierdo
PZPaolo Zeppini
Paolo Zeppini

1 January 2018 in Journal of Artificial Societies and Social Simulation
Verified
Journal Article
Open access
PDF file
SISegismundo Izquierdo
Segismundo Izquierdo
LILuis R. Izquierdo
Luis R. Izquierdo
Fuzzy logic presents many potential applications for modelling and simulation. In particular, this paper analyses one of the most popular fuzzy logic techniques: Mamdani systems. Mamdani systems can look particularly appealing because they are designed to incorporate expert knowledge in the form of IF-THEN rules expressed in natural language. While this is an attractive feature for modelling and simulating social and other complex systems, its actual application presents important caveats. This paper studies the potential use of Mamdani systems to explore the logical consequences of a model based on IF-THEN rules via simulation. We show that in the best-case scenario a Mamdani system provides a function that complies with its generating set of IF-THEN rules, which is a di erent exercise from that of finding the relation or consequences implied by those rules. In general, the logical consequences of a set of rules cannot be captured by a single function. Furthermore, the consequences of an IF-THEN rule in a Mamdani system can be very di erent from the consequences of that same rule in a system governed by the most basic principles of logical deductive inference. Thus, care must be taken when applying this tool to study "the consequences" of a set of hypothesis. Previous analyses have typically focused on particular steps of the Mamdani process, while here we present a holistic assessment of this technique for (deductive) simulation purposes.

1 September 2014 in Journal of Economic Dynamics and Control
Verified
Journal Article
Closed access
LILuis R. Izquierdo
Luis R. Izquierdo
SISegismundo Izquierdo
Segismundo Izquierdo
FVFernando Vega-Redondo
Fernando Vega-Redondo

1 November 2019 in Games and Economic Behavior
Verified
Journal Article
Closed access
LILuis R. Izquierdo
Luis R. Izquierdo
SISegismundo Izquierdo
Segismundo Izquierdo
WSWilliam H. Sandholm
William H. Sandholm