Game Artificial Intelligence requires an interactive AI, which by its very nature presents many challenges to game developers. As AI tasks become more complex, the need to manage the execution of those tasks becomes more important. All but the most complex routines can be managed with some simple abstractions for execution management. These abstractions, through extension, could be used to map ...

Article history: Received 10 May 2015 Received in revised form 19 January 2016 Accepted 19 January 2016 Available online 3 February 2016 Hundreds of studies have shown that, in people, cognitive abilities overlap yielding anunderlying ‘g’ factor, which explainsmuch of the variance.We assessed individual differences in cognitive abilities in 68 border collies to determine the structure of intell...

Spatiotemporal reasoning is an important skill that an AGI is expected to have, innately or not. Much work has already been done in defining reasoning systems for space, time and spacetime, such as the Region Connection Calculus for space, Allen’s Interval Algebra for time, or the Qualitative Trajectory Calculus for motion. However, these reasoning systems rarely take adequate account of uncert...

General intelligence (g) poses a problem for evolutionary psychology's modular view of the human brain. The author advances a new evolutionary psychological theory of the evolution of general intelligence and argues that general intelligence evolved as a domain-specific adaptation for the originally limited sphere of evolutionary novelty in the ancestral environment. It has accidentally become ...

Game Artificial Intelligence requires an interactive AI, which by its very nature presents many challenges to game developers. As AI tasks become more complex, the need to manage the execution of those tasks becomes more important. All but the most complex routines can be managed with some simple abstractions for execution management. These abstractions, through extension, could be used to map ...

Stewart Wilson introduced the term animat for artificial animals and outlined the animat path to artificial intelligence. In this paper the animat path to artificial general intelligence is explored. A general computational model is proposed for animats living in dynamic block worlds, e.g. in the Minecraft environment. The model uses mechanisms for learning and decision-making that are common t...

1 A Brief History of AGI The vast bulk of the AI field today is concerned with what might be called " narrow AI " – creating programs that demonstrate intelligence in one or another specialized area, such as chess-playing, medical diagnosis, automobile-driving, algebraic calculation or mathematical theorem-proving. Some of these narrow AI programs are extremely successful at what they do. The A...

Universal positive correlations between different cognitive tests motivate the concept of "general intelligence" or Spearman's g. Here the neural basis for g is investigated by means of positron emission tomography. Spatial, verbal, and perceptuo-motor tasks with high-g involvement are compared with matched low-g control tasks. In contrast to the common view that g reflects a broad sample of ma...

One of the basic requirements of an intelligent agent is the ability to represent and reason about space. While there are a number of approaches for achieving this goal, the recent gains in efficiency of the Satisfiability approach have made it a popular choice. Modern propositional SAT solvers are efficient for a wide variety of problems. However, conversion to propositional SAT can sometimes ...