AI Factory
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AI Factory,
an independent, UK-based game development and publishing company, with headquarters in Pinner, near London, incorporated in April 2003, founded by Jeff Rollason, Dan Orme, and Kirstie Berry. Most AI Factory titles, AI games such as board- and card games, puzzles, and life simulation games were entirely developed in-house [1], including instances where 3rd party developers have licensed the AI game technology [2].
Selected Games
Chess Programs
People
Founders
Selected Associates
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
- 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
- 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
- Cameron Browne, Stephen Tavener (2013). Life in the Fast Lane. AI Factory » Conway's Game of Life within a Bitboard
- 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
- Mark Winands (2018). The Magic of Monte-Carlo Tree Search. AI Factory, January 2018 » Monte-Carlo Tree Search
