Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition)
By G. Luger. 2004
880 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/396aa4db3e6c7a97f9962ed5834c0c0e196f77f1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
Citations in the corpus
- Artificial intelligence in recommender systems (2020, background): “Artificial intelligence is a fast-developing field in which applications range from playing chess to learning systems or diagnosing disease [28].”
- Artificial intelligence in supply chain management: theory and applications (2010, background): “In general, AI is referred to as the use of computers for reasoning, recognising patterns, learning or understanding certain behaviors from experience, acquiring and retaining knowledge, and developing various forms of inference to solve problems in decision-making situations where optimal or exact ”
- Augmented Reality in Education (2018, methodology): “main results were obtained in past works: performing the theoretical analysis of research competencies formation among senior pupils’ in terms of profile Chemistry learning [4; 5; 13]; creating the system of research competencies among senior pupils’ in profile Chemistry learning [11]; defying the I”
- Information processing in complex networks: Graph entropy and information functionals (2008, background): “, mathematical chemistry, cybernetics, computational physics and pattern recognition [3,18,16,23,28,35].”
- On Defining Artificial Intelligence (2019, background): “In conferences, journals, and textbooks, “AI” has been interpreted in a very broad and loose manner, and consequently covers a wide variety of theories and approaches (Luger, 2008; Russell and Norvig, 2010; Poole and Mackworth, 2017).”