Georgi Stojanov

Georgi Stojanov received his master’s degree in 1993 and his PhD degree in computer science from the Faculty of Electrical Engineering, “SS Cyril and Methodius” University in Skopje, Macedonia in 1997. His main research interest is in developmental robotics and modeling of higher cognitive processes (learning, anticipation, curiosity and analogical and metaphorical reasoning). Currently he is with the American University of Paris where he teaches several courses in computer science. Dr. Stojanov has been a member of organizing and program committees of numerous internationally recognized workshops and conferences. He has published extensively in the above mentioned fields. Dr. Stojanov has collaborated with many universities and research institutions among which: University of California in San Diego, University of Geneva, Lehigh University, University of Trieste, Paris V. His research projects and visiting researcher/professor posts have been funded by several institutions including: European Commission, US Academies Offices of Central Europe and Eurasia, Macedonian Academy of Arts and Sciences, SOROS Foundation.

Publications

Inductive Logic Programming and Embodied Agents: Possibilities and Limitations
Inductive Logic Programming and Embodied Agents: Possibilities and Limitations
Andrea Kulakov, Joona Laukkanen, Blerim Mustafa, Georgi Stojanov. © 2011. 16 pages.
Open-ended learning is regarded as the ultimate milestone, especially in intelligent robotics. Preferably it should be unsupervised and it is by its nature inductive. In this...
Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework
Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework
Goran Trajkovski, Georgi Stojanov, Samuel Collins, Vladimir Eidelman, Chris Harman, Giovanni Vincenti. © 2011. 21 pages.
Fuzzy algebraic structures are a useful and flexible tool for modeling cognitive agents and their societies. In this article we propose a fuzzy algebraic framework where the...
Inductive Logic Programming (ILP) and Reasoning by Analogy in Context of Embodied Robot Learning
Inductive Logic Programming (ILP) and Reasoning by Analogy in Context of Embodied Robot Learning
Vesna Poprcova, Georgi Stojanov, Andrea Kulakov. © 2010. 10 pages.
The ability to reason by analogy is essential for many cognitive processes from low-level and high-level perception to categorization. Intuitively, the idea is to use what is...
Foreword
Foreword
Georgi Stojanov. © 2009. 2 pages.
This Foreword is included in the book Handbook of Research on Agent-Based Societies: Social and Cultural Interactions.
International Journal of Agent Technologies and Systems (IJATS)
International Journal of Agent Technologies and Systems (IJATS)
. Est. 2009.
The International Journal of Agent Technologies and Systems (IJATS) focuses on all aspects of agents and multi-agent systems, with a particular emphasis on how to modify...
Inductive Logic Programming and Embodied Agents: Possibilities and Limitations
Inductive Logic Programming and Embodied Agents: Possibilities and Limitations
Andrea Kulakov, Joona Laukkanen, Blerim Mustafa, Georgi Stojanov. © 2009. 16 pages.
Open-ended learning is regarded as the ultimate milestone, especially in intelligent robotics. Preferably it should be unsupervised and it is by its nature inductive. In this...
Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework
Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework
Goran Trajkovski, Georgi Stojanov, Samuel Collins, Vladimir Eidelman, Chris Harman, Giovanni Vincenti. © 2009. 24 pages.
Fuzzy algebraic structures are a useful and flexible tool for modeling cognitive agents and their societies. In this article we propose a fuzzy algebraic framework where the...