This book presents an attempt to develop a theory of knowledge and a philosophy of mind using ideas derived from the mathematical theory of communication developed by Claude Shannon. Information is seen as an objective commodity defined by the dependency relations between distinct events. Knowledge is then analyzed as information caused belief. Perception is the delivery of information in analog form for conceptual utilization by cognitive mechanisms. The final chapters attempt to develop a theory of meaning by viewing meaning as (...) a certain kind of information-carrying role. (shrink)

The mathematical theory of communication.

John Maynard Smith has defended against philosophical criticism the view that developmental biology is the study of the expression of information encoded in the genes by natural selection. However, like other naturalistic concepts of information, this ‘teleosemantic’ information applies to many non-genetic factors in development. Maynard Smith also fails to show that developmental biology is concerned with teleosemantic information. Some other ways to support Maynard Smith’s conclusion are considered. It is argued that on any definition of information the view that (...) development is the expression of genetic information is misleading. Some reasons for the popularity of that view are suggested. (shrink)

The use of informational terms is widespread in molecular and developmental biology. The usage dates back to Weismann. In both protein synthesis and in later development, genes are symbols, in that there is no necessary connection between their form (sequence) and their effects. The sequence of a gene has been determined, by past natural selection, because of the effects it produces. In biology, the use of informational terms implies intentionality, in that both the form of the signal, and the response (...) to it, have evolved by selection. Where an engineer sees design, a biologist sees natural selection. (shrink)

The role played by the concept of genetic coding in biology is discussed. I argue that this concept makes a real contribution to solving a specific problem in cell biology. But attempts to make the idea of genetic coding do theoretical work elsewhere in biology, and in philosophy of biology, are probably mistaken. In particular, the concept of genetic coding should not be used (as it often is) to express a distinction between the traits of whole organisms that are coded (...) for in the genes, and the traits that are not. (shrink)

The literature on causal discovery has focused on interventions that involve randomly assigning values to a single variable. But such a randomized intervention is not the only possibility, nor is it always optimal. In some cases it is impossible or it would be unethical to perform such an intervention. We provide an account of ‘hard' and ‘soft' interventions and discuss what they can contribute to causal discovery. We also describe how the choice of the optimal intervention(s) depends heavily on the (...) particular experimental setup and the assumptions that can be made. ‡The first author is funded by the Causal Learning Collaborative Initiative supported by the James S. McDonnell Foundation. Many aspects of this paper were inspired by discussions with members of the collaborative. †To contact the authors, please write to: Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213; e-mail: [email protected] and [email protected]. (shrink)

Maynard Smith is right that one of the most striking features of contemporary biology is the ever-increasing prominence of the concept of information, along with related concepts like representation, programming, and coding. Maynard Smith is also right that this is surely a phenomenon which philosophers of science should examine closely. We should try to understand exactly what sorts of theoretical commitment are made when biological systems are described in these terms, and what connection there is between semantic descriptions in biology (...) and in other domains. (shrink)

An assessment is offered of the recent debate on information in the philosophy of biology, and an analysis is provided of the notion of information as applied in scientific practice in molecular genetics. In particular, this paper deals with the dependence of basic generalizations of molecular biology, above all the ‘central dogma’, on the so-called ‘informational talk’ (Maynard Smith [2000a]). It is argued that talk of information in the ‘central dogma’ can be reduced to causal claims. In that respect, the (...) primary aim of the paper is to consider a solution to the major difficulty of the causal interpretation of genetic information: how to distinguish the privileged causal role assigned to nucleic acids, DNA in particular, in the processes of replication and protein production. A close reading is proposed of Francis H. C. Crick's On Protein Synthesis (1958) and related works, to which we owe the first explicit definition of information within the scientific practice of molecular biology. Introduction 1.1 The basic questions of the information debate 1.2 The causal interpretation (CI) of biological information and Crick's ‘central dogma’ Crick's definitions of genetic information The main requirement for (CI) Types of causation in molecular biology 4.1 Structural causation in molecular biology 4.2 Nucleic acids as correlative causal factors The ‘central dogma’ without the notion of information Concluding remarks This is a new version of this article as there were errors in the abstract and full text in the previous version. (shrink)