This paper provides an overview over the debate about so-called “situated approaches to cognition” that depart from the intracranialism associated with traditional cognitivism insofar as they stress the importance of body, world, and interaction for cognitive processing. It sketches the outlines of an overarching framework that reveals the differences, commonalities, and interdependencies between the various claims and positions of second-generation cognitive science, and identifies a number of apparently unresolved conceptual and ontological issues.

This paper presents Minimal Information Structural Realism. MISR claims that information is an ontologically and epistemologically objective physical entity1 and is perceived as, but not identical to, organization, form, or structure of nature. There is a relatively significant body of literature claiming that the essential, if not fundamental, element of nature is information. Authors differ on the precise description of information conceived this way. However, they do agree that it would be a forming element in nature, a factor responsible for (...) patterns observed in reality, apprehended through order, organization or structures. To express the fundamental ontological role of information in nature, a new kind of structural realism, or rather information structural realism, is needed. This paper is proposing exactly this in the form of minimal information structural realism. The basic claim of MISR is that information is a foundation of reality and it is perceived or apprehended through patterns or structures. This claim embodies basic intuitions regarding the role of information in nature. MISR is not associated with the structural realism SR of the ontic or epistemic kinds, and is only remotely related to the concept of information structural realism defined by Floridi. (shrink)

There are many ontologies of the world or of specific phenomena such as time, matter, space, and quantum mechanics1. However, ontologies of information are rather rare. One of the reasons behind this is that information is most frequently associated with communication and computing, and not with ‘the furniture of the world’. But what would be the nature of an ontology of information? For it to be of significant import it should be amenable to formalization in a logico-grammatical formalism. A candidate (...) ontology satisfying such a requirement can be found in some of the ideas of K. Turek, presented in this paper. Turek outlines the ontology of information conceived of as a part of nature, and provides the ‘missing link’ to the Z axiomatic set theory, offering a proposal for developing a formal ontology of information both in its philosophical and logicogrammatical representations. (shrink)

The concept of information can be viewed from two perspectives, namely epistemic and ontological. In the epistemic view, information is associated with meaning, semantics, and knowledge, while in the ontological view, it is understood as structures and forms of objects. Information is most often perceived as epistemic information, yet a closer look at epistemic information reveals that this concept does not account for ontological information. This paper poses the following question: Should we select epistemic or ontological information as our primary (...) concept of information, or should we acknowledge that both kinds of information are required for a full comprehension? The discussion here is supported by references to modern research in physics, computing, cosmology, and information sciences. (shrink)

This article presents the evolution of philosophical and methodological considerations concerning empiricism in computer/computing science. In this study, we trace the most important current events in the history of reflection on computing. The forerunners of Artificial Intelligence H.A. Simon and A. Newell in their paper Computer Science As Empirical Inquiry started these considerations. Later the concept of empirical computer science was developed by S.S. Shapiro, P. Wegner, A.H. Eden and P.J. Denning. They showed various empirical aspects of computing. This led (...) to a view of the science of computing - the science of general scope. Some interesting contemporary ways towards a generalized perspective on computations were also shown. (shrink)