Seminars



The Department has regular research seminars given by internal and prominent external speakers. They are open to all members of the University and other interested parties. The individual research groups also run seminars and group meetings. Details of these can be found on research-group web pages.


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Understanding Complex Co-evolutionary Systems

SPEAKERDr Siang Yew Chong Home Page :
PROFILEDr. Siang Yew Chong (PhD in Computer Science, University of Birmingham, UK) is an Associate Professor with the University of Nottingham, Malaysia Campus, and also a Marie-Sklodowska Curie Fellow with the University of Birmingham, UK. He was a recipient of the IEEE Computational Intelligence Society Outstanding PhD Dissertation Award in 2009, and IEEE Transactions on Evolutionary Computation Outstanding Paper Award in 2011. His research interests include evolutionary computation, evolutionary game theory, and recently on theoretical analysis of performance and dynamics in coevolutionary systems.
ABSTRACTFor a computational system in problem solving to exhibit intelligence, it must be able to adapt its behavior to predict future outcomes and take the appropriate decision over a range of environments. Co-evolutionary computation has been introduced as an attractive, alternative framework for agents to learn such behaviors through a natural process of selection and variation that is guided mostly by their interaction outcomes. However, there are broad fundamental issues for understanding complex co-evolutionary systems involving their performance and search dynamics. This talk will introduce theoretical advancements we have made to address the issues of rigorous: (i) quantitative performance analysis in co-evolutionary computation in the context of generalization from machine learning, and (ii) analysis of co-evolutionary dynamics in the context of structural stability from dynamical systems. In the first part, performance statistics in co-evolutionary learning are formally defined with corresponding confidence bounds derived, which allow for construction of principled and efficient generalization estimators for various applications ranging from analysis to design of co-evolutionary systems. In the second part, the shadowing property in co-evolutionary dynamics is defined and a condition for shadowing of population dynamics under co-evolution is formally established. The effects of finite precision computation and finite population associated with numerically generated trajectories of co-evolutionary processes with different selection mechanisms can be studied rigorously.
DATE2017-11-06
TIME14:10:00
PLACELecture Theatre MP-0.15 Physical Sciences Building


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SPEAKERIgnacio Rano
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DATE2017-11-20
TIME14:10:00
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SPEAKERDr (Berndt) Bertie Müller
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DATE2017-12-04
TIME14:10:00
PLACELecture Theatre A6 - Llandinam Building


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SPEAKERProf. Jeremy L Wyatt
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DATE2018-02-05
TIME14:10:00
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SPEAKERDr Sally Smith Edinburgh Napier University - Staff Listing :
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SPEAKERDr Andrew French
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DATE2018-03-19
TIME14:10:00
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SPEAKERTimothy Storer
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DATE2018-04-23
TIME14:10:00
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SPEAKERDr Longzhi Yang
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DATE2018-05-14
TIME14:10:00
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SPEAKERProf. Liangxiu Han
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DATE2018-06-04
TIME14:10:00
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SPEAKERRong Qu
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DATE2018-06-18
TIME14:10:00
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SPEAKERDr Chakravarthini Mini Saa
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DATE2018-07-02
TIME14:10:00
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