Report on a general problem-solving program
By Allen Newell, J. Shaw, Herbert A. Simon. 1959
Subfields: Prompting & Reasoning, 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 Prompting & Reasoning
- Herbert A. Simon
- Ming-Wei Chang
- Shyam Upadhyay
- Mihai Surdeanu
- Steven Bethard
- Zhengzhong Liang
- Allen Newell
- Frank Xing
In Knowledge Graphs & Representation
- Hector Geffner
- Herbert A. Simon
- Ming-Wei Chang
- Shyam Upadhyay
- Pat Verga
- Haitian Sun
- William W. Cohen
- Mihai Surdeanu
Citations in the corpus
- Explainable Multi-hop Verbal Reasoning Through Internal Monologue (2021, methodology): “ning/reasoning paradigm that is designed to mimic the human reasoning process, the General Problem Solver (GPS) (Newell et al., 1959), then propose our neural implementation of it.”
- On the Binding Problem in Artificial Neural Networks (2020, background): “Early examples included tree-search over abstract state spaces such as the General Problem Solver (Newell et al., 1959) for theorem proving, or chess (Campbell et al., 2002); Expert systems that made use of decision trees to perform narrow problem solving for hardware design (Sollow et al., 1987) an”
- Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems (2016, background): “Automatically solving math reasoning problems is a long-pursued goal of AI (Newell et al., 1959; Bobrow, 1964).”
- Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge (2020, background): “Knowledge bases (KBs) have been a core component of AI since the beginning of the field (Newell and Simon, 1956; Newell et al., 1959).”
- A review of methods for automatic understanding of natural language mathematical problems (2008, background): “In late 1950s, Newell et al. (1959) developed the earliest predecessor of the automatic problem solver.”
- DRAW: A Challenging and Diverse Algebra Word Problem Set (2015, background): “Developing automatic solvers which can solve simple mathematical reasoning problems is a long pursued sub-goal of AI (Newell et al., 1959; Bobrow, 1964; Mukherjee and Garain, 2008).”
- Quo vadis artificial intelligence? (2022, methodology): “They compiled a general problem-solving program, which could be used to solve 11 different types of problems [24].”
- A Concise Introduction to Models and Methods for Automated Planning (2013, background): “Planning is also one of the oldest areas in AI with the General Problem Solver being the first automated planner and one of the first AI programs [Newell et al., 1959].”
- SOME PHILOSOPHICAL PROBLEMS FROM THE STANDPOINT OF ARTI CIAL INTELLIGENCE (1987, background): “the General Problem Solver ( Newell et. al. 1959, Newell and Simon 1961).”
- Developing a unifying framework of credibility assessment: Construct, heuristics, and interaction in context (2008, background): “Heuristics are practical rules or guidelines that aid in problem solving, decision making, and discovery ( Newell, Shaw, & Simon, 1960 ), and as such tend to reduce mental effort (Petty & Cacioppo, 1986; Sundar, 2007).”
- Reasoning Over Virtual Knowledge Bases With Open Predicate Relations (2021, background): “While KBs have been a key component of artificial intelligence since the field’s inception (Newell & Simon, 1956; Newell et al., 1959) broad-coverage KBs are inevitably incomplete (Min et al., 2013), despite efforts to automate their creation through text extraction (Angeli et al., 2015; Mitchell…”
- A survey on empathetic dialogue systems (2020, background): “Efforts on building a structured knowledge base can be dated back to the 1950s [128] where the knowledge is represented in a set of rules expressing permissible transformation operations.”
- Text-based adventures of the golovin AI agent (2017, background): “Solver, the task stated nearly six decades ago [28].”