Según el realismo científico, el propósito de la ciencia es descubrir la verdad acerca de los aspectos observables e inobservables de la realidad objetiva e independiente de la mente, en la cual habitamos. Putnam y otros han objetado que tal posición realista metafísica presupone un punto de vista del Ojo de Dios, del cual no puede establecerse ningún sentido coherente. En este artículo defenderé dos posiciones: primera, que el realismo científico no requiere la adopción de un punto de vista del (...) Ojo de Dios; en lugar de esto, plantearé que el realismo científico es una hipótesis acerca de la relación entre la teoría científica y la realidad que puede ser propuesta desde nuestra propia perspectiva humana. Segunda, incluso si el realismo científico requiriera un punto de vista del Ojo de Dios, no necesariamente estaría en detrimento del realismo, pues es posible desarrollar una perspectiva externa inteligible acerca de las relaciones epistémicas humanas que se entretejen con nuestra realidad circundante. (shrink)

Abstract In this paper I examine two claims that support the thesis that chimpanzees are substantive epistemic subjects. First, I defend the claim that chimpanzees are evidence gatherers (broadly construed to include the capacity to gather and use evidence). In the course of showing that this claim is probably true I will also show that, in being evidence gatherers, chimpanzees engage in a recognizable epistemic activity. Second, I defend the claim that chimpanzees achieve a degree of epistemic success while engaging (...) in epistemic activity. Typically humans qualify as substantive epistemic subjects. Again, typically, knowledge plays an integral role in intentional human behaviour. As a consequence of defending the claims that chimpanzees are evidence gatherers and achieve a degree of epistemic success while engaging in such epistemic activities, I will also have shown how knowledge plays an integral role in intentional chimpanzee behaviour. The importance of these arguments does not wholly reside in the significance of knowledge explaining some chimpanzee behaviour. Treatments of animal knowledge in the literature tend to go in one of two directions: either the treatment embraces reliabilism and so construes animal knowledge as reliably produced true beliefs (or, if not beliefs, the relevant analogue for non-linguistic animals), or it embraces an anthropocentric stance that treats animals as knowers only when they find themselves behaving in circumstances that, were it true of humans, would imply the presence of causally efficacious knowledge. What I offer here is another way of understanding non-linguistic animals, in this case chimpanzees, as knowers. (shrink)

According to scientific realism, the aim of science is to discover the truth about both observable and unobservable aspects of the mind-independent, objective reality, which we inhabit. It has been objected by Putnam and others that such a metaphysically realist position presupposes a God’s Eye point of view, of which no coherent sense can be made. In this paper, I will argue for two claims. First, scientific realism does not require the adoption of a God’s Eye point of view. Instead, (...) scientific realism is a hypothesis about the relationship between scientific theory and reality which may be proposed from within our human perspective. Second, even if scientific realism did require a God’s Eye point of view, this would not necessarily be to the detriment of realism. For it is possible to develop an intelligible external perspective on human epistemic relations to our environing reality. (shrink)

We describe the three place relation of contrastive knowledge, which holds between a person, a target proposition, and a contrasting proposition. The person knows that p rather than that q. We argue for three claims about this relation. (a) Many common sense and philosophical ascriptions of knowledge can be understood in terms of it. (b) Its application is subject to fewer complications than non-contrastive knowledge is. (c) It applies over a wide range of human and nonhuman cases.

This is a very selective survey of developments in epistemology, concentrating on work from the past twenty years that is of interest to philosophers of science. The selection is organized around interesting connections between distinct themes. I first connect issues about skepticism to issues about the reliability of belief-acquiring processes. Next I connect discussions of the defeasibility of reasons for belief to accounts of the theory-independence of evidence. Then I connect doubts about Bayesian epistemology to issues about the content of (...) perception. The last detailed connection is between considerations of the finiteness of cognition and epistemic virtues. To connect the connections I end by briefly discussing the pressure that consideration of social roles in the transmission of belief puts on the purposes of epistemology. (shrink)

The recent development of the research field of Computing and Philosophy has triggered investigations into the theoretical foundations of computing and information. This thesis consists of two parts which are the result of studies in two areas of Philosophy of Computing and Philosophy of Information regarding the production of meaning and the value system with applications. The first part develops a unified dual-aspect theory of information and computation, in which information is characterized as structure, and computation is the information dynamics. (...) This enables naturalization of epistemology, based on interactive information representation and communication. In the study of systems modeling, meaning, truth and agency are discussed within the framework of the PI/PC unification. The second part of the thesis addresses the necessity of ethical judgment in rational agency illustrated by the problem of information privacy and surveillance in the networked society. The value grounds and socio-technological solutions for securing trustworthiness of computing are analyzed. Privacy issues clearly show the need for computing professionals to contribute to understanding of the technological mechanisms of Information and Communication Technology. The main original contribution of this thesis is the unified dual-aspect theory of computation/information. Semantics of information is seen as a part of the data-information-knowledge structuring, in which complex structures are self-organized by the computational processing of information. Within the unified model, complexity is a result of computational processes on informational structures. The thesis argues for the necessity of computing beyond the Turing-Church limit, motivated by natural computation, and wider by pancomputationalism and paninformationalism, seen as two complementary views of the same physical reality. Moreover, it follows that pancomputationalism does not depend on the assumption that the physical world on some basic level is digital. Contrary to many believes it is entirely compatible with dual quantum-mechanical computing. (shrink)

The project of treating knowledge as an empirical object of study has gained popularity in recent naturalistic epistemology. It is argued here that the assumption that such an object of study exists is in tension with other central elements of naturalistic philosophy. Two hypotheses are considered. In the first, “knowledge” is hypothesized to refer to mental states causally responsible for the behaviour of cognitive agents. Here, the relational character of truth creates a problem. In the second hypothesis “knowledge” is hypothesized (...) to refer to mental states causally responsible for the evolutionarily successful behaviour of cognitive agents. Here, the problem lies in the fact that evolution by natural selection is not necessarily conducive to truth. The result does not necessarily amount to eliminativism, however, since the naturalist may consistently reject the condition of truth that lies behind these problems. (shrink)

Knowledge generation can be naturalized by adopting computational model of cognition and evolutionary approach. In this framework knowledge is seen as a result of the structuring of input data (data → information → knowledge) by an interactive computational process going on in the agent during the adaptive interplay with the environment, which clearly presents developmental advantage by increasing agent’s ability to cope with the situation dynamics. This paper addresses the mechanism of knowledge generation, a process that may be modeled as (...) natural computation in order to be better understood and improved. (shrink)