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...
Abstract. This paper presents a model of intelligence based on principles introduced by Piaget and the interactivist framework. It focuses on embodiment and sensory-motor aspects o...
Understanding why the original project of Artificial Intelligence is widely regarded as a failure and has been abandoned even by most of contemporary AI research itself may prove c...
: There are several approaches to emotions in AI, most of which are inspired by human emotional states and their arousal mechanisms. These approaches usually use high-level models ...
Saman Harati Zadeh, Saeed Bagheri Shouraki, Ramin ...
Machines significantly more intelligent than humans will require changes in our legal and economic systems in order to preserve something of our human values. An open source design...