Artificial intelligence: a modern approach
Authors: Dr. Anil Kumar, Sivasubramanian Balasubramanian, Dr. Haewon Byeon
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 ...
📅 Published: 1995
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🌐 Source: OpenAlex
📊 Citations: 22244
Artificial Intelligence in Service
Authors: Ming‐Hui 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 tasks—mechanical, analytical, intuitive, and empathetic—and lays out the way firms should decide ...
📅 Published: 2018
🌐 Source: OpenAlex
📊 Citations: 3155
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework
Authors: Evana Gizzi, Lakshmi Nair, Sonia Chernova
Creative Problem Solving (CPS) is a sub-area within Artificial Intelligence (AI) that focuses on methods for solving off-nominal, or anomalous problems in autonomous systems. Despite many advancements in planning and learning, resolving novel problems or adapting existing knowledge to a new context, especially in cases where the environment may change in unpredictable ways post deployment, remains...
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 ‘machines’, which ...
📅 Published: 1993-12-9
🔗 Source: CrossRef
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...
Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach
Authors: Casey C. Bennett, Kris Hauser
In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach the front lines hinder the ability to choose optimal treatment decisions over time. The goal in this paper is to develop a general purpose (non-disease-specific) computational/artificial intelligence (AI) framework to ad...