L Orseau, M Ring - … General Intelligence: 5th International Conference, AGI …, 2012 - Springer
This paper presents the first formal measure of intelligence for agents fully embedded within their environment. Whereas previous measures such as Legg's universal intelligence …
JW Alstete, JP Meyer - VINE Journal of Information and Knowledge …, 2020 - emerald.com
Intelligent agent-assisted organizational memory in knowledge management systems | Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with us …
Despite the reality that self-learning artificial intelligence systems (SLAIS) are gaining in sophistication, humanity's focus regarding SLAIS-human interactions are unnervingly …
L Muehlhauser, B Hibbard - Communications of the ACM, 2014 - dl.acm.org
ACM: Digital Library: Communications of the ACM ACM Digital Library Communications of the ACM Volume 57, Number 9 (2014), Pages 32-34 Viewpoint: Exploratory engineering in …
L Orseau - … General Intelligence: 7th International Conference, AGI …, 2014 - Springer
Because advanced AI is likely in the future, so is the possibility of multiple advanced AIs. It is therefore also likely that such advanced AIs will be implemented in software that can be …
G Leuenberger - arXiv preprint arXiv:1404.1718, 2014 - arxiv.org
This paper presents formulae that can solve various seemingly hopeless philosophical conundrums. We discuss the simulation argument, teleportation, mind-uploading, the …
We regularly see examples of new artificial intelligence (AI) capabilities. Google's self- driving car has safely traversed thousands of miles. IBM's Watson beat the “Jeopardy!” …
L Muehlhauser, B Hibbard - Communications of the ACM, 2014 - cacmb4.acm.org
We regularly see examples of new artificial intelligence (AI) capabilities. Google's self- driving car has safely traversed thousands of miles. IBM's Watson beat the" Jeopardy!" …
L Orseau - Reinforcement Learning, 2013 - scholar.archive.org
The traditional agent framework, commonly used in reinforcement learning (RL) and elsewhere, is particularly convenient to formally deal with agents interacting with their …