Artificial intelligence
Authors: Gillian Pocock, Hugh M
<p>This chapter explores the extensive potential of artificial intelligence (AI), which has been recognized and harnessed by computer scientists, including physics and life sciences. It analyses how AI is applied to those areas of chemistry that offer great scope for investigation by intelligent methods. It also defines AI as an attempt to replicate intelligent reasoning through βmachinesβ, which ...
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Published: 1993-12-9
π Source: CrossRef
Artificial Intelligence in Service
Authors: MingβHui Huang, Roland T. Rust
Artificial intelligence (AI) is increasingly reshaping service by performing various tasks, constituting a major source of innovation, yet threatening human jobs. We develop a theory of AI job replacement to address this double-edged impact. The theory specifies four intelligences required for service tasksβmechanical, analytical, intuitive, and empatheticβand lays out the way firms should decide ...
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Published: 2018
π Source: OpenAlex
π Citations: 2796
Compression, The Fermi Paradox and Artificial Super-Intelligence
Authors: Michael Timothy Bennett
The following briefly discusses possible difficulties in communication with and control of an AGI (artificial general intelligence), building upon an explanation of The Fermi Paradox and preceding work on symbol emergence and artificial general intelligence. The latter suggests that to infer what someone means, an agent constructs a rationale for the observed behaviour of others. Communication the...
Artificial intelligence: a modern approach
Authors: Stuart Russell, Peter Norvig
The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical ...
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>
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Published: 2016-11-24
π Source: CrossRef
π Citations: 1
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
Authors: Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder
Artificial intelligence (AI) models are increasingly finding applications in the field of medicine. Concerns have been raised about the explainability of the decisions that are made by these AI models. In this article, we give a systematic analysis of explainable artificial intelligence (XAI), with a primary focus on models that are currently being used in the field of healthcare. The literature s...