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This category lists video games developed by Beam Software, and other names the company used including Melbourne House, Krome Studios Melbourne, and Infogrames Melbourne House. Pages in category "Beam Software games"
The game won Best Overall Game at the Golden Joystick Awards. [9] In 1987 Beam's UK publishing arm, [10] Melbourne House, was sold to Mastertronic for £850,000. [11] Beam chairman Alfred Milgrom recounted, "...around 1987 a lot of our U.K. people went on to other companies and at around the same time the industry was moving from 8-bit to 16-bit.
Sherlock is a 1984 text adventure developed under the lead of Philip Mitchell [1] by Beam Software. It was published by Melbourne House. Five programmers worked for 18 months on the title and a Sherlock Holmes expert was employed full-time for a year to advise the team on accuracy. [2] Technically, the adventure builds upon the 1982 title The ...
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A sequel to the Flash game Frog Fractions funded through Kickstarter, would only be revealed at the conclusion of this ARG, with clues hidden in a number of other games. Podcasts by the developers, an Obama Shaving Simulator, real life events such as Indiecade and ARG-specific events around Berkley and LA.
The game relies heavily on code in Lua and uses packets of local data using the Lua network system while the game is running. The game's engine calculates physics equations and problems in real-time during gameplay. [citation needed] Vehicles in the game consist of a soft-body node-beam structure similar to those in Rigs of Rods.
Game of Thrones Ascent was a 2013 strategy game developed and published by Disruptor Beam for iOS, [2] Facebook, Android, [3] [4] [5] and web browser. [6] [7] and The game is based on the television series Game of Thrones, which is an adaptation of the series of fantasy novels A Song of Ice and Fire by George R. R. Martin.
The winner of each round is the last surviving beam and points are awarded based on how long each beam survived. After a few rounds, the player with the highest score wins the game. The game supports a maximum of 4 players, either human or computer controlled (which can be set to either Novice or Expert level).