The Nature of Explanation
By W. H. F. Barnes. 1944
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Yoshua Bengio
- Sergey Levine
- Ruslan Salakhutdinov
- Trevor Darrell
- Zhe Gan
- Mohit Bansal
- Abhinav Kumar Gupta
- Dacheng Tao
Citations in the corpus
- Relational inductive biases, deep learning, and graph networks (2018, background): “(Craik, 1943, page 51-55) That is, the world is compositional, or at least, we understand it in compositional terms.”
- Graph networks as learnable physics engines for inference and control (2018, background): “Cognitive scientists have long pointed to rich generative models as central to perception, reasoning, and decision-making (Craik, 1967; Johnson-Laird, 1980; Miall & Wolpert, 1996; Spelke & Kinzler, 2007; Battaglia et al., 2013).”
- The Replica Dataset: A Digital Replica of Indoor Spaces (2019, background): “Kenneth Craik [7] via Sutton and Barto [26] Replicating real physical spaces in their full fidelity in a digital form is a longstanding goal across multiple areas in science and engineering.”
- What Is Cancer? (2007, background): “Indeed, as Peter Achinstein (1983) notes, what explains why Socrates died from drinking hemlock at dusk differs from what explains why Socrates died from drinking hemlock at dusk.”
- Mental Models: Theory and Application in Human Factors (1989, methodology): “The lack of interdisciplinary communication is illustrated by Rouse and Morris's suggestion that the "manual control community has been blithely using the mental models concept for at least 20 years [whereas] cognitive psychology has only recently embraced this notion" (p. 350); Johnson-Laird (1981,”
- Goals Affect the Perceived Quality of Explanations (2015, background): “Lombrozo and Carey (2006), for instance, suggest that one function of explanation is to support future reasoning and behavior – including novel inferences – by highlighting generalizable or “exportable” relationships (see also Craik, 1943; Heider, 1958).”
- Reinforcement Learning: An Introduction (1998, background): “The authors were also strongly influenced by psychological studies of latent learning (Tolman, 1932) and by psychological views of the nature of thought (e.g., Galanter and Gerstenhaber, 1956; Craik, 1943; Campbell, 1960; Dennett, 1978).”
- A multidimensional trust formation model in B-to-C e-commerce: a conceptual framework and content analyses of academia/practitioner perspectives (2005, background): “Second we study the mental models [22] of two key stake holders: academics and practitioners perspectives of e-commerce in this study.”
- Interaction Networks for Learning about Objects, Relations and Physics (2016, background): “Simulation over rich mental models is 286 thought to be a crucial mechanism of how humans reason about physics and other complex domains 287 [4, 12, 10], and Battaglia et al.”
- The Future in Mind: Aspirations and Forward-Looking Behaviour in Rural Ethiopia (2014, background): “There is thus heterogeneity between individuals and communities in the overarching “mental models” (Craik, 1943) that structure our perception and understanding of the world, the opportunities and possibilities that are available, the constraints we face, and what we and others are capable of.”
- THE ORIGINS OF ATTACHMENT THEORY (2012, background): “…systems of the kind proposed by Bowlby can work with foresight in organisms that have evolved an ability to construct internal working models of the environment and of their own actions in it (a concept taken over from Craik, 1943, through the writings of the biologist J. Z. Young, 1964).”
- Mind Perception Is the Essence of Morality (2012, background): “…suggest that, despite the variety of moral transgressions, there is a cognitive template of morality—the moral dyad—which not only integrates across various moral transgressions but also serves as a working model for understanding the moral world (Baldwin, 1992; Craik, 1967; Johnson-Laird, 1986).”
- Is Understanding A Species Of Knowledge? (2006, unknown): “form of knowledge’’ (Achinstein [1983], p.”