Thinking movement and the creation of dance through numbers

By Stamatia Portanova. 2006

487 citations recorded by the source corpus.

Subfields: Cultural Studies, History and Philosophy of Science, Human-Computer Interaction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cultural Studies

In History and Philosophy of Science

In Human-Computer Interaction

Citations in the corpus

DeepProbLog: Neural Probabilistic Logic Programming (2018, background): “T6: forth_sort([8, 2, 4], [2, 4, 8]) The input consists of a list of numbers, and the output is the sorted list.”
Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “Researchers argue that people employ certain biases [80] and social expectations [71] when they generate and evaluate explanation, and I argue that such biases and expectations can improve human interactions with explanatory AI.”
The Role of Uncertainty, Awareness, and Trust in Visual Analytics (2016, background): “These, so called, cognitive biases, first introduced by Kahneman and Tversky in the 1970s [40], are deviations in judgment from what rational decision models would predict that occur in particular situations.”
Site Reliability Engineering: How Google Runs Production Systems (2016, background): “Modern research identifies two distinct ways of thinking that an individual may, con‐ sciously or subconsciously, choose when faced with challenges [Kah11]:”
Studies of Expertise from Psychological Perspectives (2006, background): “As Bartlett (1958) notes, “Experts have all the time in the world.””
The role and impact of mental simulation in design (2009, background): “…the first to propose a theory of mental models as dynamic representations or simulations of the world, but since then the ‘mental models’ research paradigm has not evolved into a unified field of theories and hypotheses (e.g. Forbus & Gentner, 1997; Markman & Gentner, 2001; Nersessian, 1992, 2002).”
Evidential reasoning rule for evidence combination (2013, background): “While these axioms should hold for a rigorous combination algorithm, an initial study suggested that human intuition or System 1 thinking [18] may not always follow such axioms [12].”
The Differential Impact of Knowledge Depth and Knowledge Breadth on Creativity over Individual Careers (2017, background): “This is known as negative transfer (Bartlett, 1958), a type of mental block where individuals focus only on those mental pathways and”
Using strategic performance measurement systems for strategy formulation: Does it work in dynamic environments? (2012, background): “…and the momentum that is created appears not to be associated with environmental dynamism, but to rely primarily on the modified mental representations and cognitive structures induced by causal, multi-perspective SPMS (Birnberg et al., 2007; Markman and Gentner, 2001; Nadkarni and Barr, 2008).”
Notional machines and introductory programming education (2013, background): “Another body of research, less germane for present purposes, is concerned with logical mental models [Johnson-Laird 1983; Markman and Gentner 2001]. components, and allow for unanticipated situations to be dealt with.”
Counterfactual Thinking and Entrepreneurial Self–Efficacy: The Moderating Role of Self–Esteem and Dispositional Affect (2013, background): “Although we might envision abstract cognitive processes such as reasoning and the development of counterfactual thoughts as devoid of context, research has found that different forms of reasoning vary in their domain specificity (Markman & Gentner, 2001).”
Neurosymbolic AI: the 3rd wave (2020, background): “Parallels have been drawn many times now by AI researchers between Kahneman’s research on human reasoning and decision making, reflected in his book “Thinking, Fast and Slow” (Kahneman 2011), and the so-called “AI systems 1 and 2”, which would in principle be modelled by deep learning and symbolic r”
Tree of Thoughts: Deliberate Problem Solving with Large Language Models (2023, background): “Research on “dual process” models suggests that people have two modes in which they engage with decisions – a fast, automatic, unconscious mode (“System 1”) and a slow, deliberate, conscious mode (“System 2”) [27, 28, 13, 12].”
A two-phase method for extracting explanatory arguments from Bayesian networks (2017, background): “5 Legal experts, for example, such as lawyers and judges, may be more accustomed to argumentation-based models of proof because probabilistic reasoning is often considered a difficult task [4, 5].”
Making Personal Sense (2003, background): “The basis of any dialogical perspective, either between or within persons, represents, then, imageful thinking rather than the ill-fated discussions about ‘imageless thought’ that brought the constructive efforts of the ‘Würzburg School’ to a halt (Humphrey, 1951).”