Matej Guid

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Matej Guid

Matej Guid,
a Slovenian FIDE master of chess, computer scientist and researcher at the Artificial Intelligence Laboratory University of Ljubljana. His research interests covers computer game-playing (especially chess), automated explanation / tutoring systems, heuristic search, and machine learning.

Computer Analysis

Along with Ivan Bratko, Matej Guid claimed to identify the relative playing strength of World Chess Champions by comparing their move choices with chess programs, in particular a modified version of Crafty, as published in ICGA Journal, Vol. 29, No. 2 in 2006 , further elaborated with Aritz Pérez in 2008 .

Progressive Chess

At the Advances in Computer Games 14 conference at Leiden University, 2015, Matej Guid lectured on programming Progressive Chess and introduced a progressive chess playing program developed by Vito Janko and himself , further promoted by Frederic Friedel at ChessBase .

Advances in Computer Games 14: Ingo Althöfer announcing Matej Guid on Progressive Chess

Selected Publications

2006 ...

• Matej Guid, Ivan Bratko (2006). Computer Analysis of World Chess Champions. ICGA Journal, Vol. 29, No. 2, pdf
• Matej Guid (2006). The 5th Computer and Games Conference. ICGA Journal, Vol. 29, No. 2 » CG 2006
• Matej Guid, Ivan Bratko (2006). Computer Analysis of Chess Champions. CG 2006
• Aleksander Sadikov, Martin Možina, Matej Guid, Jana Krivec, Ivan Bratko (2006). Automated Chess Tutor. CG 2006
• Matej Guid, Ivan Bratko (2007). Factors affecting diminishing returns for searching deeper. CGW 2007 » Crafty, Rybka, Shredder, Diminishing Returns
• Matej Guid, Ivan Bratko (2007). Factors affecting diminishing returns for searching deeper. ICGA Journal, Vol. 30, No. 2, pdf
• Matej Guid, Aritz Pérez, Ivan Bratko (2007). How trustworthy is Crafty's analysis of world chess champions? CGW 2007 » Crafty
• Matej Guid, Aritz Pérez, Ivan Bratko (2008). How trustworthy is Crafty's analysis of world chess champions? ICGA Journal, Vol. 31, No. 3, pdf
• Matej Guid, Martin Možina, Jana Krivec, Aleksander Sadikov, Ivan Bratko (2008). Learning Positional Features for Annotating Chess Games: A Case Study. CG 2008, pdf
• Martin Možina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko (2008). Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning. 18th European Conference on Artificial Intelligence (ECAI 2008), Patras, Greece. pdf
• Jana Krivec, Matej Guid, Ivan Bratko (2009). Identification and Characteristic Descriptions of Procedural Chunks. ComputationWorld conference: Cognitive 2009. pdf

2010 ...

• Matej Guid, Martin Možina, Aleksander Sadikov, Ivan Bratko (2010). Deriving Concepts and Strategies from Chess Tablebases. Advances in Computer Games 12, pdf
• Matej Guid (2010). Search and Knowledge for Human and Machine Problem Solving. Ph.D. thesis, University of Ljubljana, pdf
• Azlan Iqbal, Harold van der Heijden, Matej Guid (2010). Research Grant to Investigate Multi-Dimensional Aesthetic Perception using Endgame Studies. EG, Alexander Rueb Vereniging voor Schaakeindspelstudie (ARVES), No. 180, Vol. XVI
• Martin Možina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko (2010). Learning to Explain with ABML. ExaCt 2010, pdf
• Matej Guid, Ivan Bratko (2011). Using Heuristic-Search Based Engines for Estimating Human Skill at Chess. ICGA Journal, Vol. 34, No. 2
• Azlan Iqbal, Harold van der Heijden, Matej Guid, Ali Makhmali (2012). Evaluating the Aesthetics of Endgame Studies: A Computational Model of Human Aesthetic Perception. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 4, No. 3
• Matej Guid, Ivan Bratko (2012). Detecting Fortresses in Chess. Elektrotehniški vestnik, Vol. 79, Nos. 1-2, pdf » Rybka, Houdini
• Matej Guid, Ivan Bratko (2013). Search-Based Estimation of Problem Difficulty for Humans. AIED 2013, pdf
• Matej Guid, Martin Možina, Ciril Bohak, Aleksander Sadikov, Ivan Bratko (2013). Building an Intelligent Tutoring System for Chess Endgames. CSEDU 2013

2015 ...

• Vito Janko, Matej Guid (2015). Development of a Program for Playing Progressive Chess. Advances in Computer Games 14
• Azlan Iqbal, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, Boshra Haghighi (2015). The Digital Synaptic Neural Substrate: A New Approach to Computational Creativity. arXiv:1507.07058
• Matej Guid, Ivan Bratko (2017). Influence of Search Depth on Position Evaluation. Advances in Computer Games 15
• Mark Winands, Richard J. Lorentz, Matej Guid (2017). Advances in Computer Games 2017. ICGA Journal, Vol. 39, Nos. 3-4 » Advances in Computer Games 15

2020 ...

• Jana Krivec, Matej Guid (2020). The influence of context on information processing. Cognitive Processing, Vol. 21, No. 2
• Miha Bizjak, Matej Guid (2021). Automatic Recognition of Similar Chess Motifs. Advances in Computer Games 17

External Links

• Matej Guid - Research Page
• A computer program to identify beauty in problems and studies by Azlan Iqbal, ChessBase News, December 15, 2012
• The program for playing Progressive Chess by Vito Janko and Matej Guid
• New Year's present: Progressive Chess by Frederic Friedel, ChessBase News, January 01, 2018

References

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