A framework for representing knowledge

By Marvin Minsky. 1974

Subfields: Knowledge Graphs & Representation

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Mass-Editing Memory in a Transformer (2022, background): “The representation of world knowledge is a core problem in artificial intelligence (Richens, 1956; Minsky, 1974), classically tackled by constructing knowledge bases of real-world concepts.”
A Review of Relational Machine Learning for Knowledge Graphs (2015, background): “This kind of relational knowledge representation has a long history in logic and artificial intelligence [11], for example, in semantic networks [12] and frames [13].”
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation (2017, background): “To get a better sense of the richness of our IGC Crowd dataset, we manually annotated a random sample of 330 ( I, T, Q ) triplets in terms of Minsky’s Frames: 2 We annotated the FrameNet (Baker et al., 1998) frame evoked by the image ( I FN ) , and then textual context ( T FN ).”
Edward: A library for probabilistic modeling, inference, and criticism (2016, methodology): “Expert systems were designed from human expertise, which in turn enabled larger reasoning steps according to existing knowledge (Buchanan et al., 1969; Minsky, 1975).”
The End of Framing as we Know it … and the Future of Media Effects (2016, background): “For instance, Minsky (1975) discussed a frame as a cognitive template or data structure that organizes information in the mind.”
An Entailment-Based Approach to the QA4MRE Challenge (2012, background): “Reproducing this kind of behavior computationally has long been a goal of AI (Minsky, 1974; Schank and Abelson, 1977), but still remains elusive, both in acquiring such expectations and using them to guide reading (Clark, 2010).”
Similar and Different : The Differentiation of Basic-Level Categories (1997, background): “One possibility is that pairs with similar representational structures share a common frame consisting of dimensions or "slots" that are not shared with items that have different structures (Barsalou, 1992; Minsky, 1981).”
Executive Function in Education: From Theory to Practice. (2007, background): “Although the notion of schema as generic knowledge structures for complex phenomena has been understood since the 1930s (Bartlett, 1932), it was re-introduced in the 1970s to the cognitive science literature by Minsky (1975), Rumelhart and Ortony (1977), and Shank and Abelson (1977). Schema theory s”
The Role of Frame-Based Representation on the Semantic Web (2001, methodology): “The concept of a frame was proposed in the 1970's [Minsky 1975], and frame systems subsequently gained ground as basic tools for representing knowledge [Fikes & Kehler 1985, Karp 1992, Chaudhri et.”
WorldTree V2: A Corpus of Science-Domain Structured Explanations and Inference Patterns supporting Multi-Hop Inference (2020, methodology): “5463 reasoning mechanisms similar to scripts or semantic frames (Minsky, 1974; Schank and Abelson, 1977; Wang et al., 2015; Ostermann et al., 2017), and that acquiring domain expertise is critical for multi-hop reasoning.”
Designing the User Interface for Multimodal Speech and Pen-Based Gesture Applications: State-of-the-Art Systems and Future Research Directions (2000, background): “However, in recent years, a data structure called frames (Minsky, 1975) or feature structures (FSs; Kay, 1979) has become accepted de facto to represent meaning.”