Our goal is to understand human language use and create systems that can use human language fluently. We argue that to a achieve this goal, we must formulate all of the problems fo...
Nicholas L. Cassimatis, Arthi Murugesan, Magdalena...
: Consistent with the ultimate goals of AGI, we can expect that deductive consequences of large and grammatically varied text bases would not be generated by sequential application...
A novel theory of the stages of ethical development in intelligent systems is proposed, incorporating prior related theories by Kohlberg and Gilligan, as well as Piaget's theo...
The likely advent of AGI and the long-established trend of improving computational hardware promise a dual revolution in coming decades: machines which are both more intelligent an...
Reinforcement learning (RL) is an attractive machine learning discipline in the context of Artificial General Intelligence (AGI). This paper focuses on the intersection between RL ...
OSCAR is a fully implemented architecture for a cognitive agent, based largely on the author's work in philosophy concerning epistemology and practical cognition. The seminal ...
AI has many techniques and tools at its disposal, yet seems to be lacking some special "juice" needed to create a true being. We propose that the missing ingredients are ...
Abstract. We introduce a general framework for reasoning with prioritized data by aggregation of distance functions, study some basic properties of the entailment relations that ar...
Sequence prediction is a key component of intelligence. This can be extended to define a game between intelligent agents. An analog of a result of Legg shows that this game is a co...