Difference between revisions of "Jeff Rollason"
GerdIsenberg (talk | contribs) |
GerdIsenberg (talk | contribs) |
||
| Line 64: | Line 64: | ||
=References= | =References= | ||
<references /> | <references /> | ||
| − | |||
'''[[People|Up one level]]''' | '''[[People|Up one level]]''' | ||
| + | [[Category:Chess Programmer|Rollason]] | ||
| + | [[Category:Shogi Programmer|Rollason]] | ||
| + | [[Category:Entrepreneur|Rollason]] | ||
Revision as of 14:21, 4 January 2019
Jeff Rollason [1]
Jeff Rollason,
a British computer scientist and games programmer, author of the chess program Treebeard [2], the earlier chess programs Merlin and Rasputin, and the Shogi program Shotest. Jeff is CEO and Founder of the AI Factory [3]. Treebeard and Shotest are AI Factory products.
Contents
Photos
Jeff Rollason and Yoichiro Kajihara in Shotest 5.6 vs. Tacos at the 6th Computer Olympiad 2001 [4]
Jeff Rollason and Reijer Grimbergen, Kisarazu, Japan, May 2008 [5]
Selected Publications
- Jeff Rollason (2000). SUPER-SOMA - Solving Tactical Exchanges in Shogi without Tree Searching. CG 2000, Word preprint
- Jeff Rollason (2001). Shotest wins Shogi tournament. ICGA Journal, Vol. 24, No. 3 » 6th Computer Olympiad
- Reijer Grimbergen, Jeff Rollason (2001). Using castle and assault maps for guiding opening and middle game play in Shogi. 6th Game Programming Workshop, pdf
- Hiroyuki Iida, Makoto Sakuta, Jeff Rollason (2002). Computer Shogi. Artificial Intelligence, Vol. 134, Elsevier, CiteSeerX
- Reijer Grimbergen, Jeff Rollason (2002). Board Maps and Hill-Climbing for Opening and Middle Game Play in Shogi. CG 2002
AI Factory Articles
2005 ...
- Jeff Rollason, Dan Orme (2005). Writing cpu intensive AI without multi-threading. AI Factory, Spring 2005 » Thread
- Jeff Rollason, Didzis Cirulis (2005). Treebeard - A new way to do Chess. AI Factory, Summer 2005 » Treebeard
- Jeff Rollason (2005). Evaluation by Hill-climbing: Getting the right move by solving micro-problems. AI Factory, Autumn 2005 » Evaluation, Automated Tuning
- Jeff Rollason (2005). Off-the-shelf AI : Plug-in Minimax. AI Factory, Autumn 2005
- Jeff Rollason (2006). Fuzzy books - Approximate opening knowledge. AI Factory, Spring 2006 » Opening Book
- Jeff Rollason (2006). Looking for Alternatives to Quiescence Search. AI Factory, Autumn 2006 » Quiescence Search, SOMA
- Jeff Rollason (2006). Playing Stronger by learning. AI Factory, Winter 2006 » Learning
- Jeff Rollason (2006). Driving search with Plausibility analysis: Looking at the right moves. AI Factory, Winter 2006 » Move Ordering
- Jeff Rollason (2007). Negative Plausibility. AI Factory, Spring 2007 » Relative History Heuristic [8]
- Jeff Rollason (2007). Creating Book Knowledge. AI Factory, Autumn 2007 » Opening Book
- Jeff Rollason (2007). Statistical Minefields with Version Testing. AI Factory, Winter 2007 » Engine Testing, Match Statistics
2010 ...
- Jeff Rollason (2011). Mixing MCTS with Conventional Static Evaluation: Experiments and shortcuts en-route to full UCT. AI Factory, Winter 2011 » Monte-Carlo Tree Search, UCT, Evaluation
- Jeff Rollason (2012). Tuning Spades. AI Factory, Summer 2012 » UCT
- Jeff Rollason (2012). Evaluation options - Overview of methods. AI Factory, Summer 2012 » Evaluation
- Jeff Rollason (2012). Pushing compression limits using Plausibility analysis. AI Factory, Winter 2012
- Jeff Rollason (2013). Reducing the burden of knowledge: Simulation-based methods in imperfect information games. AI Factory, Summer 2013 » Monte-Carlo Tree Search
- Jeff Rollason (2013). Lessons from the Road - Championship level AI development. AI Factory, Summer 2013
- Jeff Rollason (2013). Searching the Unknown with MCTS. AI Factory, Winter 2013 » Monte-Carlo Tree Search
- Jeff Rollason (2013). A Folding Revolution. AI Factory, Winter 2013
- Jeff Rollason (2014). A Rating System for Developers. AI Factory, Summer 2014
- Jeff Rollason (2014). Interest Search - Another way to do Minimax. AI Factory, Summer 2014 » Search, Minimax
2015 ...
- Jeff Rollason (2015). Bidding Systems with Euchre. AI Factory, February 2015
- Jeff Rollason (2015). When Completely Random is Just not Random Enough. AI Factory, February 2015
- Jeff Rollason (2015). Developing in Fog. AI Factory, October 2015
- Jeff Rollason (2015). Keeping on the Tightrope. AI Factory, October 2015
- Jeff Rollason (2015). Mixing the Immiscible - MCTS and evaluation. AI Factory, October 2015 » Monte-Carlo Tree Search
- Jeff Rollason (2015). Under-sung heroes - Gothic 3. AI Factory, December 2015
- Jeff Rollason (2016). The Rating Sidekick. AI Factory, October 2016
- Jeff Rollason (2017). Human Randomness. AI Factory, March 2017
- Jeff Rollason (2017). Unwelcome Testing Realities. AI Factory, August 2017
- Jeff Rollason (2017). Adding New Muscle to Our AI Testing. AI Factory, August 2017
- Jeff Rollason (2018). Get Tools right… (The Rest Will Follow!). AI Factory, January 2018
External Links
References
- ↑ AI Factory - Founders and Contributing Engineers
- ↑ Jeff Rollason, Didzis Cirulis (2005). Treebeard - A new way to do Chess. AI Factory, Summer 2005
- ↑ AI Factory
- ↑ Jeff Rollason (2001). Shotest wins Shogi tournament. ICGA Journal, Vol. 24, No. 3, pp. 187
- ↑ World Computer Shogi Championship 2006 - AI Factory newsletter article Spring 2006
- ↑ ICGA Reference Database (pdf)
- ↑ Article Listing - AI Factory newsletter
- ↑ Negative Plausibility Move Ordering by Alessandro Damiani, CCC, July 09, 2009
