05 Mar

Seminar by Pedro Lind: “Living in a stochastic nature: a tour through interdisciplinary applications of stochastic modelling”

Tuesday, 7 March 2017, 18:30
ISCTE-IUL, Auditório 0NE03 – Mário Murteira

Living in a stochastic nature: a tour through interdisciplinary applications of stochastic modelling

Pedro Lind, University of Osnabrück

Ultimately, physics aims to uncover the laws and equations governing the evolution of one particular system. For that, one may collect a series of measurements of properties characterizing the state of one particular system. If the system is well-behaved enough, it should be possible to predict its evolution for a reasonable long time. However, if the system is “bad”-behaved, as it is typical of stochastic systems, such task may be more difficult to accomplish. In this seminar we will describe cases in physics, engineering, finance and biology where such stochastic behavior is observed and discuss in some detail ways to model particular stochastic phenomena.

18 Dec

Best Paper Award at IEEE WCCS’15


Carlos Lemos, student at our doctoral program, together with his supervisors Rui Lopes and Helder Coelho, professors at our doctoral program, won the Best Paper Award at the World Conference on Complex Systems 2015, with their paper “Analysis of the Decision Rule in Epstein’s Agent-Based Model of Civil Violence”.

Congratulations to our colleagues !

23 Jun

Contribution to the theory of dynamic networks in the study of the evolution of a city

by Clara Grácio, CIMA, Universidade de Évora

Mathematics Seminars at ISTAR – 24 Jun 2015, 11:30 Room C104, Building II, ISCTE-IUL

See the poster.

The theory of dynamical networks is concerned with systems of dynamical units coupled according to an underlying graph structure. It therefore investigates the interplay between dynamics and structure, between the temporal processes going on at the individual units and the static spatial structure linking them. It is a combination of graph theory and nonlinear dynamics. A representation through a network is very useful for describing the structure of many different complex systems. However, most real systems are formed by different subsystems that are interconnected. The number of systems and data known, is increasingly overwhelming, so powerful mathematical tools become necessary to achieve a deep knowledge and study of networks. In this talk is considered the theory of multilayer networks. “Viewing urban centres as “Living Labs” is a powerful new concept that is inspiring novel research leading to improved wellbeing and economic growth. We argue here that mathematicians can make an impact at the heart of this emerging interdisciplinary field, where hypotheses about human behavior must be quantified and tested against vast data sets and where decisions and interventions should be based on quantitative, testable predictions.” (say Peter Grindrod, Desmond J. Higham and Robert Mackay, Sep, 2014). Participate and give our contributions in this “laboratory” is our aim, considering as our case study and model calibration, the historical center of Évora, inscribed on UNESCO World Heritage List since 1986.

05 May

Seminar by Tadeusz Szuba (AGH University, Cracow)

Seminar by Tadeusz Szuba, DI-FCUL, 13 Mai at 14h

“Formal and computational model for A. Smith’s Invisible Hand paradigm as basis for quite new tools for market analysis and prediction”

“A. Smith’s statements provide clear hint on how to transform human as element of the market, into “business thinking and planning virtual processor”. Using this processor under concept of molecular model of computations, we are able to convert market into specific, nondeterministic, parallel computer. It is quite different computer, comparing to digital computer – most probably much more powerful but in different scale. It uses logic, not 0/1 Boolean algebra as basic calculus and processors move around computational space – do not take fixed positions. Computations are driven by abstract “value” – not by operating system. This computational nature is like second side of coin or another dimension of the market. This idea leads to perception and formalization of A. Smith Invisible Hand of Market (ASIHM) as a computer: ASIHM-computer. This computer is self-programming and is performing computations not only for market optimization & stabilization, but also can act as “discoverer” of e.g. new technologies necessary for market (technical optimization). ASIH-computer is specific for every market, since reflects it’ nature and mentality of agents. Most probably also rules of social behavior can be discovered by ASIHM-computer (social optimization). Threads of ASIHM-computer calculations are not visible for single agent, since it participates only in one or just few steps of such calculations. Only economists can identify architecture of this computer and what computations are performed. Perceiving market as “thinking subject” will lead to quite different tools for market analysis and prediction. It can be done in such way, that at first economists with help of specialists from theory of computations will construct simulation model of ASIHM-computer for given market (approximation). Next, this model will be investigated on what it can calculate, how fast and what way it will react to market disturbances, etc. ASIHM-computer concept will imply a lot of theoretical research. To tackle this concept, EU Grant & team is necessary + approx. 5 years of work. In general, ASIHM-computer is similar to swarm-computer (ants, honeybees); however, agents are much more intelligent.”

Tadeusz Szuba has received Ph. D. in AI in 1979. In 1975 – 1991 he was working on theory of intelligent, autonomous machines (intelligent excavator). Machines were simulated in 3D animated computer graphics. In 1991-2001 he was associate professor in Department of Mathematics and Computer Science, Kuwait University. In 1993 he started to work on theory of Computational Collective Intelligence. This theory is published in book (SZUBA 2001). In 2002/2003 he was visiting associate professor at UMSL Univ. St. Louis, MO, USA. Since 2003 he is back at AGH University, Cracow Poland. Since 2009 he works on of Collective Intelligence theory applications, i.e. on formalization and simulation model of A. Smith Invisible Hand of Market. He tries to build formal and computational model of this phenomena. His teaching area is computer graphics, whereas research area is Collective Intelligence. He is head of Computer Graphics laboratory, head of postgraduate program in Computer Graphics and head of M. Sc. Program Modern Computer Graphics.