This target article presents a new computational theory of explanatory coherence that applies to the acceptance and rejection of scientific hypotheses as well as to reasoning in everyday life, The theory consists of seven principles that establish relations of local coherence between a hypothesis and other propositions. A hypothesis coheres with propositions that it explains, or that explain it, or that participate with it in explaining other propositions, or that offer analogous explanations. Propositions are incoherent with each other if they (...) are contradictory, Propositions that describe the results of observation have a degree of acceptability on their own. An explanatory hypothesis is acccpted if it coheres better overall than its competitors. The power of the seven principles is shown by their implementation in a connectionist program called ECHO, which treats hypothesis evaluation as a constraint satisfaction problem. Inputs about the explanatory relations are used to create a network of units representing propositions, while coherende and incoherence relations are encoded by excitatory and inbihitory links. ECHO provides an algorithm for smoothly integrating theory evaluation based on considerations of explanatory breadth, simplicity, and analogy. It has been applied to such important scientific cases as Lovoisier's argument for oxygen against the phlogiston theory and Darwin's argument for evolution against creationism, and also to cases of legal reasoning. The theory of explanatory coherence has implications for artificial intelligence, psychology, and philosophy. (shrink)

This paper traces the background to R. A. Fisher's multi-factorial theory of inheritance. It is argued that the traditional account is incomplete, and that Karl Pearson's well-known pre-Fisherian objections to the theory were in fact overcome by Pearson himself. It is further argued that Pearson's stated reasons for not accepting his own achievement has to be seen as a rationalization, standing in for deeper-seated metaphysical objections to the Mendelian paradigm of a type not readily discussed in a formal scientific paper. (...) The apparent, post-Fisherian, continued acceptance of Pearson's objections is presented as an interesting problem for the historian and sociologist. (shrink)

This paper is an attempt to reconstruct the history of genetic and evolutionary theories of same-sex sexual behavior using Imre Lakatos’ methodology of scientific research programs . Although distinct, those two programs are complementary. Whereas the genetic program maintains that homosexuality is genetically inherited, the evolutionary program attempts to explain how such a gene, which apparently reduces the reproductive fitness of its homozygous carrier, is maintained in the population. This appraisal reveals that the two research programs have not been empirically (...) progressive in the Lakatosian sense. I argue that this situation has arisen precisely because of inappropriate over-commitment to the respective hard cores of the two research programs. As adherence to such cores is essential for success in research programs, according to Lakatos, I argue that Lakatos’ account of science may be descriptively adequate but is normatively inadequate. I provide grounds for generalizing this case as follows: the MSRP may successfully capture the logic of axiomised sciences, such as physics, but applies poorly to most sciences, including biological and social sciences, which do not lend themselves to axiomatic organization. (shrink)

The presence of intelligence and rationality in Artificial Intelligence and the Internet requires a new context of analysis in which Herbert Simon’s approach to the sciences of the artificial is surpassed in order to grasp the role of information in our contemporary setting. This new framework requires taking into account some relevant aspects. In the historical endeavor of building up AI and the Internet, minds and machines have interacted over the years and in many ways through the interrelation between scientific (...) creativity and technological innovation. Philosophically, minds and machines can have epistemological, methodological and ontological differences, which are based on the distinct configuration of human intelligence and artificial intelligence. Their comparison with rationality and its various forms is particularly relevant. Scientifically, AI and the Internet belong to the sciences of the artificial, because they work on designs that search for specific aims, following selected processes in order to achieve expected results. Technologically, AI and the Internet require the support of information and communication technologies. These have an instrumental role regarding the existence of AI and the Internet. Also ICT shape their diverse forms of configuration over the years.Within this framework, this paper offers a new context of analysis that goes beyond Simon’s and follows four main steps: the interaction between scientific creativity and technological innovation as the philosophico-methodological setting for Artificial Intelligence and the Internet; artificial intelligence and human intelligence as epistemological basis for machines and minds, where the differences between artificial intelligence and human intelligence are made explicit and the analysis of minds and machines is made from the perspective of rationality ; intention and its difference with design of machine learning are considered to distinguish human intelligence from artificial intelligence; and the internal and external aspects of artificial designs in contemporary society are considered through the perspective of rationality, which leads to the transition from intelligence to rationality in the Internet as well as to the historicity of information. (shrink)

Two classes of argument, logical and moral, are usually offered for the general assumption that racism is inherently irrational. The logical arguments involve accusations concerning stereotyping (category mistakes and empirical errors resulting from overgeneralization) as well as inconsistencies between attitudes and behavior and inconsistencies in beliefs. Moral arguments claim that racism fails as means to well-defined ends, or that racist acts achieve ends other than moral ones. Based on a rationality-neutral definition of racism, it is argued in this article that (...) none of these arguments establish exhaustively that racism is inherently irrational. Ways are suggested to proceed in condemning racism(s) as morally and socially unacceptable, independent of the irrationality claim. (shrink)