Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp
By Peter Norvig. 1991
Subfields: Knowledge Graphs & Representation
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Knowledge Graphs & Representation
- Naresh C. Gupta
- Verena Rieser
- Seif Haridi
- Gavin Abercrombie
- Dana S. Nau
- Hector Geffner
- Dirk Hovy
- A. S. Bergman
Citations in the corpus
- Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling (2021, methodology): “ELIZA used pattern matching and substitution methods to generate a reply that gave an illusion of understanding, but had no built-in framework for contextualizing events (Norvig, 1992).”
- Book Review: Natural Language Processing with Python by Steven Bird, Ewan Klein, and Edward Loper (2009, background): “As a programming book describing practical state-of-the-art techniques, it belongs to the glorious family of Charniak et al.’s Artificial Intelligence Programming (1987), Pereira and Shieber’s Prolog and Natural Language Analysis (1987), and Norvig’s mind-expanding Paradigms of Artificial Programming ”
- On the Complexity of Blocks-World Planning (1992, background): “One of the primary roles of EBW in planning research was in the discovery and investigation of deleted-condition interactions such as creative destruction and Sussman’s anomaly [4, 15, 16, 18, 19, 20, 21], in which the plan for achieving one goal or subgoal deletes another goal or subgoal.”
- Model-free, Model-based, and General Intelligence (2018, background): “Lisp and functional programming, Prolog and logic programming, rule-based programming, expert systems shells, frames, scripts, and semantic networks [Charniak et al., 1980; Norvig, 1992].”
- Concepts, Techniques, and Models of Computer Programming (2004, methodology): “For example, we can cite artificial intelligence [160, 136], algorithm design [41], object-oriented design patterns [58], multi-agent programming [205], databases [42], and numerical analysis [153].”
- A beam search heuristic method for mixed-model scheduling with setups (2005, background): “It is a modification of a breadth-first search (Norvig, 1992).”