Dynamic memory - a theory of reminding and learning in computers and people

1983

Citations in the corpus

Memory-assisted prompt editing to improve GPT-3 after deployment (2022, background): “The idea of failure-driven reminding and dynamic memory date back several decades, e.g., (Schank, 1983; Riesbeck, 1981).”
Perspectival Understanding of Conceptions and Conceptual Growth in Interaction (2007, background): “Another information-processing proposal to address the limitation of schema theory was by Schank (1982), who extended his theory of text understanding beyond schema-based structures with a concept he called “memory-operating packets” (MOPs), which are schemata that organize parts of the information…”
Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches (1994, unknown): “As previously mentioned, the first system that may be referred to as a case-based reasoner was Kolodner's CYRUS system, based on Schank's dynamic memory model [54].”
Scaffolding and Achievement in Problem-Based and Inquiry Learning: A Response to Kirschner, Sweller, and Clark (2006) (2007, background): “Both situated and cognitivist perspectives on cognition recognize the influence of the learning context on the accessibility of the knowledge for future use (Collins, Brown, & Newman, 1989; Greeno, 2006; Kolodner, 1993; Schank, 1982).”
Narrative identity and meaning making across the adult lifespan: an introduction. (2004, background): “…questions about how individuals make inferences in natural conversation, organize and prioritize autobiographical memory, and link plans and goals to behavior (Reiser, 1983; Reiser, Black, & Abelson, 1985; Reiser, Black, & Kalamarides, 1986; Schank, 1982; 440 Singer Schank & Abelson, 1977).”
A Course on Effective Teacher-Child Interactions (2012, background): “Dynamic memory theory (Schank, 1982) extends this work by suggesting that the schemas and scripts that people develop based on watching others are an important component of learning how to behave in a particular moment.”
Empathy from infancy to adolescence: An attachment perspective on the development of individual differences (2017, background): “To better understand the specific components that make up the internal working model, attachment researchers have drawn upon the work of cognitive theorists (e.g., Nelson, 1986; Nelson & Gruendel, 1986; Schank, 1982, 1999) to examine the role of relational scripts in interpersonal functioning.”
Explanation in Case-Based Reasoning–Perspectives and Goals (2005, background): “This work follows the tradition of Lalljee et al. (1983), who suggest that explanations can be either 'constructive' or 'contrastive', and Schank (1982), who specifies that an explanation is required first and foremost in anomalous situations that do not fit a person's internalized model of the…”
Commonsense Causal Reasoning Using Millions of Personal Stories (2011, methodology): “In the Dynamic Memory model articulated by Schank (1982), personal stories serve as a tool to highlight where a knowledge base is faulty, needing revision.”
Immediate and Delayed Effects of Using a Classroom Case Exemplar in Teacher Education: The Role of Presentation Format (2007, unknown): “First, as predicted by case-based learning theories (Aamodt & Plaza, 1994; Schank, 1982), students who learned about the educational psychology topic with the presentation of a video exemplar outperformed those who learned about the same topic without the presentation of an exemplar on measures of i”
Retrieval, reuse, revision and retention in case-based reasoning (2005, unknown): “A major current underlying early CBR research was the study of human story understanding (Schank & Abelson, 1977), especially as it led to investigations of the role of memory in understanding (Schank, 1982).”
Extending Machine Language Models toward Human-Level Language Understanding (2019, background): “Our proposal builds on classic work in linguistics (31, 32), human cognition (33), artiﬁcial intelligence (34), and an early PDP model (35) and dovetails with an emerging perspective in cognitive neuroscience (36).”
Speaking and remembering in one or two languages: bilingual vs. monolingual lexicalization and memory for motion events (2011, background): “For the relationship between semantic and episodic memory see Schank, 1982; Schank and Abelson, 1995; Tulving, 2002.”
New Perspectives on Autobiographical Memory: The Integration of Narrative Processing and Autobiographical Reasoning (2001, background): “…1996; Conway & Rubin, 1993; Fitzgerald, 1996; Neisser, 1982, 1986; Neisser & Winograd, 1988; Pillemer, 1998; Reiser, 1983; Reiser, Black, & Abelson, 1985; Reiser, Black, & Kalamarides, 1986; Robinson, 1992; Robinson & Taylor, 1998; Rubin, 1986, 1996, 1998; Schank, 1982; Schank & Abelson, 1977).”
Case-based Reasoning for Natural Language Queries over Knowledge Bases (2021, background): “In classical artiﬁcial intelligence (AI), case-based reasoning (CBR) pioneered by Schank (1982), tries to incorporate such model of reasoning in AI systems (Kolodner, 1983; Rissland, 1983; Leake, 1996).”
Strong systematicity through sensorimotor conceptual grounding: an unsupervised, developmental approach to connectionist sentence processing (2012, background): “…as in the case of Frank (2006) or Farkaš and Crocker (2008), or a combination of stochastic and segregation methods working to ground higher level knowledge of events with symbolic labels, perhaps through a process of self-supervised error-driven learning based on expectation failure (Schank 1982).”
Structures : Analysis , Modelling and Application (2007, unknown): “This is akin to the theoretical position taken by [15] in assuming that knowledge of frequently occurring events is structured into meaningful units in memory.”
Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models (2020, background): “Our proposal to focus on language as part of a system representing situations builds on a long tradition in linguistics (35), human cognitive psychology (36), psycholinguistics (37), philosophy (38), and artificial intelligence (39).”