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  1. Book: Cognitive Design for Artificial Minds.Antonio Lieto - 2021 - London, UK: Routledge, Taylor & Francis Ltd.
    Book Description (Blurb): Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. -/- Beginning with an overview of the historical, methodological and technical issues in the field of Cognitively-Inspired Artificial Intelligence, (...)
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  • Naturalism, tractability and the adaptive toolbox.Iris van Rooij, Todd Wareham, Marieke Sweers, Maria Otworowska, Ronald de Haan, Mark Blokpoel & Patricia Rich - 2019 - Synthese 198 (6):5749-5784.
    Many compelling examples have recently been provided in which people can achieve impressive epistemic success, e.g. draw highly accurate inferences, by using simple heuristics and very little information. This is possible by taking advantage of the features of the environment. The examples suggest an easy and appealing naturalization of rationality: on the one hand, people clearly can apply simple heuristics, and on the other hand, they intuitively ought do so when this brings them high accuracy at little cost.. The ‘ought-can’ (...)
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  • How Intractability Spans the Cognitive and Evolutionary Levels of Explanation.Patricia Rich, Mark Blokpoel, Ronald de Haan & Iris van Rooij - 2020 - Topics in Cognitive Science 12 (4):1382-1402.
    This paper focuses on the cognitive/computational and evolutionary levels. It describes three proposals to make cognition computationally tractable, namely: Resource Rationality, the Adaptive Toolbox and Massive Modularity. While each of these proposals appeals to evolutionary considerations to dissolve the intractability of cognition, Rich, Blokpoel, de Haan, and van Rooij argue that, in each case, the intractability challenge is not resolved, but just relocated to the level of evolution.
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  • How Intractability Spans the Cognitive and Evolutionary Levels of Explanation.Patricia Rich, Mark Blokpoel, Ronald Haan & Iris Rooij - 2020 - Topics in Cognitive Science 12 (4):1382-1402.
    This paper focuses on the cognitive/computational and evolutionary levels. It describes three proposals to make cognition computationally tractable, namely: Resource Rationality, the Adaptive Toolbox and Massive Modularity. While each of these proposals appeals to evolutionary considerations to dissolve the intractability of cognition, Rich, Blokpoel, de Haan, and van Rooij argue that, in each case, the intractability challenge is not resolved, but just relocated to the level of evolution.
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  • Comparing the axiomatic and ecological approaches to rationality: fundamental agreement theorems in SCOP.Patricia Rich - 2018 - Synthese 195 (2):529-547.
    There are two prominent viewpoints regarding the nature of rationality and how it should be evaluated in situations of interest: the traditional axiomatic approach and the newer ecological rationality. An obstacle to comparing and evaluating these seemingly opposite approaches is that they employ different language and formalisms, ask different questions, and are at different stages of development. I adapt a formal framework known as SCOP to address this problem by providing a comprehensive common framework in which both approaches may be (...)
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  • How causal knowledge simplifies decision-making.Rocio Garcia-Retamero & Ulrich Hoffrage - 2006 - Minds and Machines 16 (3):365-380.
    Making decisions can be hard, but it can also be facilitated. Simple heuristics are fast and frugal but nevertheless fairly accurate decision rules that people can use to compensate for their limitations in computational capacity, time, and knowledge when they make decisions [Gigerenzer, G., Todd, P. M., & the ABC Research Group (1999). Simple Heuristics That Make Us Smart. New York: Oxford University Press.]. These heuristics are effective to the extent that they can exploit the structure of information in the (...)
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