Fitzwilliam College ,
University of Cambridge, United Kingdom

Keynote Speakers

 

 

 

 

 

 

 

 

Andrzej Skowron, Warsaw University, Poland Web of Science Highly Cited Researcher

Talk Title:

IGrC: Toward Computing Model for Information Society and Smart Cities

Abstract:

We extend the existing Granular Computing (GrC) approach to Interactive Granular Computing (IGrC) aiming at developing a computing model relevant for Information Society and Smart Cities. The IGrC approach binds together and brings a synchronous cooperation among the following four basic concepts of Artificial Intelligence: language, reasoning, perception, and action. Moreover, information granulation in IGrC makes it possible to deal with compound structural objects, e.g., in the complex spatio-temporal space of Smart Cities. Basic objects in IGrC are complex granules (c-granules or granules, for short). They are grounded in the physical reality and are, in particular,  responsible for generation of the information systems (data tables) through interactions with the configurations of physical objects. These information systems are next aggregated by agents (i.e., members of information societies) into new information systems with new induced structures of objects and their attributes. These processes lead towards the development of networks of information systems (decision systems). Development of a particular network of information systems is constrained by the need for searching the relevant computational building blocks. As an example one can consider patterns or classifiers used for initiating actions (plans) or understanding behavioral patterns of swarms of c-granules (in particular, agents), constrained by the needs of the users of an information society to a satisfactory degree. Agents performing computations based on interaction with the physical environment learn interaction rules, representing knowledge not known a priori by agents. These rules may lead not only towards the construction of compound abstract objects but also towards the construction of compound physical objects, e.g., sensors composed out of more primitive sensors. Learning interaction rules is a step toward providing the self-organized distributed control of agents in an information society. Nowadays, this is a challenging task, in particular for Smart Cities. Agents are involved in performing complex tasks of perceiving or transforming complex objects. In particular, numerous tasks of agents may be classified as control tasks performed by agents aiming at achieving the high quality computational trajectories relative to the considered quality measures over the trajectories.  Here, new challenges are related to developing strategies for predicting and controlling the behavior of agents. We propose to investigate these challenges using the IGrC framework. The reasoning used for controlling of computations involves c-granules and computations over them, and is based on adaptive judgment. For example, adaptive judgment is used in inducing adaptive approximations of complex vague concepts evolving with time. It is also used in the efficiency management of granular computations, carried out by agents, for risk assessment, risk treatment, and cost/benefit analysis toward achieving the goals, in particular of Smart Cities.

 

Biography:

Andrzej Skowron, ECCAI and IRSS Fellow, received the Ph. D. and D. Sci. (habilitation) from the University of Warsaw in Poland. In 1991 he received the Scientific Title of Professor.He is Full Professor in the Faculty of Mathematics, Computer Science and Mechanics at the University of Warsaw.

Andrzej Skowron is the (co)author of more than 400 scientific publications and editor of many books. His areas of expertise include reasoning with incomplete information, approximate reasoning, soft computing methods and applications, rough sets, rough mereology, granular computing, intelligent systems, knowledge discovery and data mining, decision support systems, adaptive and autonomous systems, perception based computing, and interactive computational systems.

He was the supervisor of more than 20 PhD Theses. In the period 1995-2009 he was the Editor-in-Chief of Fundamenta Informaticae journal. He is on Editorial Boards of many others international journals.

Andrzej Skowron was the President of the International Rough Set Society from 1996 to 2000. He has delivered numerous invited talks at international conferences including a plenary talk at the 16th IFIP World Computer Congress (Beijing, 2000), a keynote talk at the 8th Joint Conference on Information Sciences (JCIS 2005) (encompassing 12 individual conferences and workshops) (USA, 2005), an invited talk at the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006) and on Web Intelligence (WI 2006) (Hong Kong, 2006), and a plenary talk at the 2nd World Congress on Biologically Inspired Computing (Japan, 2010). He was serving as (co-)program chair and PC member of more than 200 international conferences.

He was involved in numerous research and commercial projects including dialog-based search engine (Nutech), fraud detection for Bank of America (Nutech), logistic project for General Motors (Nutech), algorithmic trading (Adgam), control of UAV (Linköping University), and medical decision support (Polish-American Pediatric Clinic in Cracow).

Andrzej Skowron was on the ICI Thomson Reuters/ Clarivate Analytics lists of the mostly cited  researchers in Computer Science (globally) in 2012 and 2016.