Stealth games are notorious for their complexities in terms of AI, as they require not only robust behaviors, but also strong sensory system for the NPCs to perceive the world in believable ways. Earlier this year, METRO 2033 was released and it included one of the more innovative visual- and auditory-perception systems of the last few years.
Multiplayer games are increasing in popularity, and bots are a great way to add replayability to the game as well as reach a broader audience. However, building bots that remain in the game for long periods of time and completing tactical objectives requires developers to focus on different things than when they build traditional non-player characters.
Role-playing games often exhibit challenging worlds for the AI to deal with, and BioWare's recently released DRAGON AGE: ORIGINS is no exception. It features large worlds with multiple co-operative NPCs, player avatars that can be automatically controlled at the click of a mouse, plus dynamic area effects and unpredictable dynamic obstacles. How are pathfinding and navigation systems built to deal with all ...
The concept behind DARKEST OF DAYS that captured the imagination of gamers was the ability to travel into the past and visit major battlefields, for example Ancient Rome, to the Civil War, or World War I. This obviously presented many challenges for the AI, in particular scaling up to huge battlefields and making sure large numbers of soldiers were fun for the player to interact with.
Tim Schafer's most recent masterpiece, BRÜTAL LEGEND, presented many challenges to the Double Fine team. Not only did the story include a rich cast of characters and a variety of units to play with, but the gameplay also combines brawling, driving, and strategy... Combined with a modest team size, this proved to be a great undertaking from a technical perspective.