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Tuncer Ören

SCS Distinguished Lecturer

Tuncer Ören
School of Information Technology and Engineering (SITE)
Faculty of Engineering,
University of Ottawa,
Ottawa, Ontario, Canada, K1N 6N5

http://www.site.uottawa.ca/~oren/

Biography

Dr. Ören is a professor emeritus of computer science at the School of Information Technology and Engineering of the University of Ottawa (Canada).

Research interests include

  • Advanced M&S methodologies and environments such as multimodels and multisimulation.
  • Cognitive simulation: Simulation of human behavior by fuzzy agents with dynamic personality; agents with personality and emotions; agents with perception, anticipation, and understanding abilities; 
  • Reliability and quality assurance in M&S and user/system interfaces;
  • Professional ethics for sustainable civilized behavior (for humans as well as for software agents)
  • Body of knowledge and terminology of M&S.

Publications : over 340 (some translated in Chinese and German). Contributions in over 340 conferences and seminars held in nearly 30 countries. In 2005 alone, delivered 10 invited talks in conferences and seminars held in China, France, Turkey, and the USA.

Professional organizations : Currently he is a member of the Board of Directors, AVP on Ethics, AVP on Student Affairs, and Founding Director of the M&SNet (McLeod Network of Modeling and Simulation) of the Society for Modeling and Simulation International. He is the past director of MISS (McLeod Institute of Simulation Sciences). He was the founding Chairman of the First Executive Committee of the Chairmen of the Canadian Computer Science Departments.

Honors : Invitations from United Nations; sponsorship from NATO; Canadian computing pioneer, and fellowships, scholarships, or sponsorships from 11 countries. Over 20 Who's Who citations.

Awards: "Information Age Award" from the Turkish Ministry of Culture and plaques and certificates of appreciation from organizations including NATO, Atomic Energy of Canada, and ACM.

Lecture Topics

Multimodels and multisimulation

Multimodeling is an advanced modeling paradigm applicable to many modeling methodologies as well as software agents. Multimodels encapsulate a set of closely related modules of a model. In the basic type of multimodel, only one model module can be active at a given time. During simulation, transition conditions are monitored for switching from a module to another one. Over 15 types of multimodels will be presented in a systematic way. These include single aspect, multiaspect, mutational, and evolutionary multimodels.

Multisimulation allows experimenting with several aspects of reality at the same time. Simulation studies of systems of systems, federations of federations, and even any large scale and multiaspect simulation study can benefit from this novel concept.

 

Systems with Understanding Ability: Toward Advanced Agents

Use of agents in several types of applications of modeling and simulation is maturing. However, among some of the remaining challenges is the specification and realization of agents with understanding ability.  After clarification of several aspects of the concept of “understanding,” anatomy of systems with understanding abilities will be presented. This will be followed by a systematic presentation of about 40 types of understanding. The desirability of multivision understanding as well as its essence will be clarified and performance factors of systems with understanding abilities will be discussed.

 

Agents with Dynamic Personality

Realization of agents with personality has several important application areas such as modeling and simulation of human behavior. In the presentation, a systematic view of the 30 facets of human personality will be presented. Then, six personality traits, the personality dynamics and their representations by fuzzy agents will be explained. The approach can be used as a dynamic personality filter for agents with personality. Similar to the use of different (material or digital) filters with the same camera, dynamically tailorable personality filters can be used with the same agent to represent different personalities. The relevance to high cognitive complexity will also be discussed especially with reference to coping with complexity.