Some Studies in Machine Learning Using the Game of Checkers, II - Recent Progress


A new signature table technique is described together with an improved book learning procedure which is thought to be much superior to the linear polynomial method described earlier. Full use is made of the so called “alpha-beta” pruning and several forms of forward pruning to restrict the spread of the move tree and to permit the program to look ahead to a much greater depth than it other- wise could do. While still unable to outplay checker masters, the program’s playing ability has been greatly improved.See also:IEEE XploreAnnual Review in Automatic Programming, Volume 6, Part 1, 1969, Pages 1–36Some Studies in Machine Learning Using the Game of CheckersIBM J of Research and Development ll, No.6, 1967,601

Win, Lose, or Get Out the Way - Eliminating Unnecessary Evaluation in Game Search

AAAI Conferences

In this paper we present our approach of improving the traditional alpha-beta search process for strategic board games by modifying the method in two ways: 1) forgoing the evaluation of leaf nodes that are not terminal states and 2) employing a utility table that stores the utility for subsets of board configurations. In this paper we concentrate our efforts on the game of Connect Four. Our results have shown significant speedup, as well as a framework that relaxes common agent assumptions in game search. In addition, it allows game designers to easily modify the agent's strategy by changing the goal from dominance to interaction.

Learning from data: Building brains … and using them Thomson Reuters


We like our machines to feel human, even if they don't look it. The pulsing on and off of the power light on an Apple computer when it is "sleeping" is reassuring. Even the red light of HAL in 2001: A Space Odyssey gave an assurance that the machine was alive, rather than a faceless menace. One of the pioneers of computing, Alan Turing, was amongst the first to address the challenge of artificial intelligence and gives his name to the Turing test for a "machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human." Learning from our mistakes makes us human.

An Oxford mathematician explains how AI could enhance human creativity


The game of Go played between a DeepMind computer program and a human champion created an existential crisis of sorts for Marcus du Sautoy, a mathematician and professor at Oxford University. "I've always compared doing mathematics to playing the game of Go," he says, and Go is not supposed to be a game that a computer can easily play because it requires intuition and creativity. So when du Sautoy saw DeepMind's AlphaGo beat Lee Sedol, he thought that there had been a sea change in artificial intelligence that would impact other creative realms. He set out to investigate the role that AI can play in helping us understand creativity, and ended up writing The Creativity Code: Art and Innovation in the Age of AI (Harvard University Press). The Verge spoke to du Sautoy about different types of creativity, AI helping humans become more creative (instead of replacing them), and the creative fields where artificial intelligence struggles most.

Navigation Challenges in Massively Destructible Worlds

AAAI Conferences

The creation of lifelike believable characters is emerging as the central focus of next-generation game development and is viewed as critical to obtaining true mass-market appeal. Visually-realistic movement in complex physics driven worlds is an increasingly critical component in creating believable characters. The demo is based on our extension to the Unreal 3 engine (UE3) and runs on advanced PCs, the Xbox 360 and PlayStation 3 (PS3) and shows advance navigation behaviors such as dynamic obstacle avoidance, local dynamic path finding and advanced obstacle traversal such as vaulting. A typical first-person shooter (FPS) game level (an underground subway system) is constructed out of physics-simulated objects; the benches and garbage cans can be displaced by gun fire and the pillars and railings can be destroyed by grenades. This allows the player to quickly and significantly disrupt the world making it extremely difficult for the non-player characters (NPCs) to navigate towards the player. NPCs can be given specific movement abilities so that some NPCs can avoid obstacles by circumventing them while more advanced NPCs can vault over them. Upon discovery of blocked passageways such as staircases, NPCs can take alternative routes.