Artificial intelligence in healthcare: past, present and future
Authors: Fei Jiang, Yong Jiang, Hui Zhi
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI tec...
Games for Artificial Intelligence Research: A Review and Perspectives
Authors: Chengpeng Hu, Yunlong Zhao, Ziqi Wang
Games have been the perfect test-beds for artificial intelligence research for the characteristics that widely exist in real-world scenarios. Learning and optimisation, decision making in dynamic and uncertain environments, game theory, planning and scheduling, design and education are common research areas shared between games and real-world problems. Numerous open-source games or game-based envi...
Modeling Belief in Dynamic Systems, Part II: Revision and Update
Authors: N Friedman, J. Y. Halpern
The study of belief change has been an active area in philosophy and AI. In recent years two special cases of belief change, belief revision and belief update, have been studied in detail. In a companion paper (Friedman & Halpern, 1997), we introduce a new framework to model belief change. This framework combines temporal and epistemic modalities with a notion of plausibility, allowing us to exami...
Death and Suicide in Universal Artificial Intelligence
Authors: Jarryd Martin, Tom Everitt, Marcus Hutter
Reinforcement learning (RL) is a general paradigm for studying intelligent behaviour, with applications ranging from artificial intelligence to psychology and economics. AIXI is a universal solution to the RL problem; it can learn any computable environment. A technical subtlety of AIXI is that it is defined using a mixture over semimeasures that need not sum to 1, rather than over proper probabil...
Frontiers of Artificial Intelligence
Authors: Jerry Kaplan
<p>What are the main areas of research and development in AI?</p>
<p>Work in artificial intelligence is generally divided into a number of subfields that address common, though difficult, practical problems or require different tools or skills. Some of the more prominent are robotics, computer...</p>
📅 Published: 2016-11-24
🔗 Source: CrossRef
📊 Citations: 1
The Impact of Artificial Intelligence on Social Equity
Authors: Jerry Kaplan
<p>Who’s going to benefit from this technological revolution?</p>
<p>Unfortunately, AI is accelerating the substitution of capital for labor, and so those with capital will benefit at the expense of those whose primary asset is their ability to work. Income inequality is already a pressing...</p>
📅 Published: 2016-11-24
🔗 Source: CrossRef