Rationality and Intelligence

By Stuart J. Russell. 1995

Subfields: Cognitive Science & Psychology

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Citations in the corpus

The Arcade Learning Environment: An Evaluation Platform for General Agents (2012, background): “To this end, different theoretical frameworks have been proposed to formalize the notion of “big” artificial intelligence (e.g., Russell, 1997; Hutter, 2005; Legg, 2008).”
Learning to Search with MCTSnets (2018, background): “There have been a variety of previous efforts to frame the learning of internal search decisions as a meta-reasoning problem, one which can be optimized directly (Russell, 1995).”
The heuristic-analytic theory of reasoning: Extension and evaluation (2006, background): “This dispositional aspect of the analytic system also provides encouragement to those who believe that our educational systems can and should encourage people to think in a more “rational,” abstract, and decontextualized manner (Baron, 1985; Stanovich, 1999).”
On Defining Artificial Intelligence (2019, background): “Here the idea comes from the usage of intelligence as a form of rationality (Simon, 1957; Russell, 1997; Hutter, 2005; Wang, 2011) that can make the best-possible decision in various situations, according to the experience or history of the system.”
The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract) (2015, background): “To this end, different theoretical frameworks have been proposed to formalize the notion of " big " artificial intelligence [Russell, 1997; Hutter, 2005; Legg, 2008].”
A Minimum Relative Entropy Principle for Learning and Acting (2008, background): “This has led to several attempts of bounded rationality (Russell, 1995; Russell and Subramanian, 1995).”
Thermodynamics as a theory of decision-making with information-processing costs (2012, background): “Starting with Simon [23], bounded rationality has been extensively studied in psychology, economics, political science, industrial organization, computer science and artificial intelligence research—see for example [40, 41, 42, 43, 10, 11, 44, 45].”
Towards Verified Artificial Intelligence (2016, methodology): “practical. Active Data-Driven Modeling: We believe human modeling requires an active data-driven approach. Relevant theories from cognitive science and psychology, such as that of bounded rationality [81,65], must be leveraged, but it is important for those models to be expressed in formalisms compa”
Reasoning independently of prior belief and individual differences in actively open-minded thinking. (1997, background): “Many cognitive processes have been analyzed with concepts from the algorithmic level exclusively (Baron, 1985), and this has often impeded understanding.”
Belief in Fake News is Associated with Delusionality, Dogmatism, Religious Fundamentalism, and Reduced Analytic Thinking (2019, unknown): “edu/ baron/theses/GurcayMorrisDissertation.pdf su, S. (22 June 2017). Public Safety: ‘Pizzagate’ gunman sentenced to four years in prison, as prosecutors urged judge to deter vigilante justice. The Washington Post. ubert, M., & Van der Veeken, S. (2008). Outlier detection for skewed data. Journal of”
On the failure of cognitive ability to predict myside and one-sided thinking biases (2008, background): “…psychology of individual differences has long recognised a distinction between cognitive capacities (intelligence) and thinking dispositions (e.g., Baron, 1985; Dole & Sinatra, 1998; Ennis, 1987; Moshman, 1994; Nickerson, 2004; Norris, 1992; Parker & Fischhoff, 2005; Perkins, 1995; Sinatra &…”
Learning to think: The challenges of teaching thinking (2005, background): “Baron (1985) avançou sobre uma estrutura de investigação e inferência que enfatizasse a busca e a inferência eficaz em torno de uma opinião, tomando decisões e escolhendo objetivos.”
Learning and exploration in action-perception loops (2013, background): “…future internal models: Predicted mode change (PMC) predicts the height difference between the modes of the current and future internal models (Baron, 2005; Nelson, 2005): Predicted L1 change (PLC) predicts the average L1 distance between the current and future internal models (Klayman and…”
From IQ to IC: A dispositional view of intelligence (2001, background): “Elsewhere, Baron (1985) 6 of 23 4/17/09 4:10 PM refers to dispositions as parameters in a psychological theory that affect success in tasks (p.14)--thus, making clear the projective role dispositions play in human behavior.”
The domain specificity and generality of disjunctive reasoning: Searching for a generalizable critical thinking skill (2002, unknown): “This view leads to an obvious individual difference prediction, that “we should expect some correlation across individuals between style in one situation and style in another, regardless of how discrepant the situations are” (Baron, 1985b, p. 380).”
Doing more with less: meta-reasoning and meta-learning in humans and machines (2019, background): “Considering this problem led to the notion of ‘metalevel rationality’ [7], under which the rationality of an agent is not assessed by the expected utility of the actions they take, but by how well the algorithm they follow in order to select those actions trades off expected utility with the costs o”