Human Problem Solving.

By Nick Axten, Allen Newell, Herbert A. Simon. 1973

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

The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification (2014, background): “People organize and interpret information through exemplar-based reasoning, particularly when they are solving problems ([26, 7, 9, 21]).”
Skill Induction and Planning with Latent Language (2021, background): “Building autonomous agents that integrate high029 level reasoning with low-level perception and con030 trol is a long-standing challenge in artificial intelli031 gence (Fikes et al., 1972; Newell, 1973; Sacerdoti, 032 1973; Brockett, 1993).”
Simplicity, Inference and Modelling: Science seeks parsimony, not simplicity: searching for pattern in phenomena (2002, background): “To accomplish this, it interacts with another theory, the General Problem Solver (GPS), whose history dates back to 1958, and which provides an explanation of human problem solving processes (Newell and Simon, 1972).”
SSL: a theory of how people learn to select strategies. (2006, background): “Strategy learning has also attracted attention in the domain of skill acquisition (eg, Anderson, 1993; A.”
Recent advances in expertise research: a commentary on the contributions to the special issue (2005, methodology): “Simon and Chase (1973) proposed the first general theory of expertise, and it was based on the human-information processing theory (Newell & Simon, 1972), which assumes that normal, healthy human adults do not differ in terms of basic short-term memory capacity and other fundamental characteristics…”
Artificial intelligence and innovation management: A review, framework, and research agenda✰ (2021, methodology): “In line with an information processing perspective on the innovation process, the “problem space is the internal representation of the task environment” used by the subject (Newell and Simon, 1972, p. 56), the subject being a human manager or an AI system.”
Socially Situated Cognition: Cognition in its Social Context (2004, background): “The computational or information-processing framework analyzes cognition in terms of representational structures and algorithmic processes, drawing on the fundamental concepts and principles of computer science (Marr, 1982; Newell & Simon, 1972; Vera & Simon, 1993).”