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- W2573027557 abstract "The Virtues and Vices of Biased Rationality: An Eco-Cognitive Account Emanuele Bardone (bardone@unipv.it) Department of Philosophy, University of Pavia P.zza Botta, 6 - 27100 Pavia, Italy Lorenzo Magnani (lmagnani@unipv.it) Department of Philosophy, University of Pavia P.zza Botta, 6 - 27100 Pavia, Italy Abstract human learning becomes an option ecologically supported by the accumulation of knowledge in the human cognitive niche. In order to provide ground to this idea, we will employ the lens model introduced by Egon Brunswik to give ground to our proposal. This paper aims at illustrating the virtues and vices of biased rationality. Starting with the virtues of biased rationality, we will illustrate the idea of Homo Heuristicus along with its fal- lacious dimension. We will claim that the rationale of biased rationality consists in turning ignorance into a cognitive virtue. More precisely, we will argue that biases provide us with pre- missory starting points even in absence of relevant information to solve the problem at hand. In the second part, we will turn to the vices of biased rationality: we will contend that the adap- tive value of fallacies are limited to those situations in which we do not have (relevant) information, whereas being in such a situation is not adaptive at all. In the last part of the paper we will illustrate our main contention according to which de- bising rationality is made possible when human learning be- comes an option ecologically supported by the accumulation of knowledge in the human cognitive niche. In order to provide ground to this idea, we will employ the lens model introduced by Egon Brunswik. Keywords: biased rationality; fallacy; heuristics; de-biasing; lens model; cognitive niche Introducing the Homo Heuristicus Introduction This paper aims at illustrating the virtues and vices of biased rationality. Starting with the virtues of biased rationality, we will illustrate the idea of Homo Heuristicus along with its fal- lacious dimension. In this first section, we will claim that the rationale of biased rationality consists in turning ignorance into a cognitive virtue. More precisely, we will argue that bi- ases (basically, resulting from fallacious reasoning) provide us with premissory starting points even in absence of relevant information to solve the problem at hand. This will permit us to develop the idea that a fallacy (or bias) does not necessary lead to a bad outcome. Accordingly, it can be either a good or bad line of argument. This is due to the fact that an argument is fallacious or biased with relation to a standard or a set of standards. In the second part, we will introduce the distinction be- tween competence-independent information and competence- dependent information. Building on this distinction, we will maintain that the adaptive role of biased rationality is condi- tional, as it lacks what we call symptomaticity. That is, the adaptive value of fallacies are limited to those situations in which we do not have (relevant) information, whereas being in such a situation is not adaptive at all. The last part of the paper is an attempt to furnish a more general account about how decisions may be effectively un- biased by adopting a different perspective. Our main thesis is that, biased rationality turns out to be much less successful, as In this section we are going to explore the very idea of biased rationality by illustrating the idea of homo heuristicus intro- duced and developed during the last two decades by Gigeren- zer and colleagues (cf. (Gigerenzer & Selten, 2001; Todd & Gigerenzer, 2003; Gigerenzer, 2000; Gigerenzer & Brighton, 2009)). The idea of homo heuristicus explicitly addresses the problem of how to make two apparently conflicting concepts consistent: accuracy as the result of a certain decision, and effort as the amount of resources deployed in the decision- making process. The idea of homo heuristicus stems from the rejection of two main assumptions about accuracy and effort. The first is that a heuristic always involves a trade-off to be reached between accuracy and effort, as they are basically conflict- ing concepts. In fact, accuracy usually involves time and resources. Therefore, given the fact that humans operate in cognitive economy with limited time and resources, they have to rely on decisions that are accurate enough, meaning that they might simply have to discard those strategies which lead to more accurate outcomes, but require greater resources. Heuristics are thought to be strategies reaching an accuracy- effort trade-off. The second assumption can be called the “principle of to- tal evidence”. The principle of total evidence – introduced by Carnap (Carnap, 1947) and explicitly mentioned by Gigeren- zer and colleagues – states that it is always better to take into account the total evidence available in order to determine whether or not a certain hypothesis or course of action is jus- tified or rational: that is, having more information is always better than having less information. Or, to put it simply, more is always more, and less is always less. Contrary to these two beliefs, Gigerenzer and colleagues argued, and managed to provide empirical evidence to sup- port the idea, that heuristics are not always accuracy-effort trade-offs. On certain occasions, one can attain higher ac- curacy with less effort. Besides, more information may be detrimental leading not only to overload, but also to a general state of ignorance. Putting it simply, less is more and more is" @default.
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- W2573027557 title "The Virtues and Vices of Biased Rationality: An Eco-Cognitive Account" @default.
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