This book is intended to help transform epistemology - the traditional study of knowledge - into a rigorous discipline by removing conceptual roadblocks and developing formal tools required for a fully naturalized epistemology. The evolutionary approach which Harms favours begins with the common observation that if our senses and reasoning were not reliable, then natural selection would have eliminated them long ago. The challenge for some time has been how to transform these informal musings about evolutionary epistemology into a rigorous (...) theoretical discipline capable of complementing current scientific studies of the evolution of cognition with a philosophically defensible account of meaning and justification. (shrink)

Conventional wisdom has it that evolution makes a sham of morality, even if morality is an adaptation. I disagree. I argue that our best current adaptationist theory of meaning offers objective truth conditionsfor signaling systems of all sorts. The objectivity is, however, relative to species – specifically to the adaptive history of the signaling system in question. While evolution may not provide the kind of species independent objective standards that (e.g.) Kantians desire, this should be enough for the practical work (...) of justifying our confidence in the objectivity of moral standards. If you believe morality is an adaptation, you should be a moral realist. (shrink)

Moral norms are the rules of morality, those that people actually follow, and those that we feel people ought to follow, even when they don’t. Historically, the social sciences have been primarily concerned with describing the many forms that moral norms take in various cultures, with the emerging implication that moral norms are mere arbitrary products of culture. Philosophers, on the other hand, have been more concerned with trying to understand the nature and source of rules that all cultures ought (...) to follow, with relatively little regard for what people actually do. The tension between the two approaches has to do with whether there are any standards higher than the whims of culture in determining right and wrong. Typically, the social sciences say “no”, pointing at the diversity of moral beliefs. Most philosophers (along with people of moral conviction) feel that there must be some deeper source of morality than the trends and fads of culture. Unfortunately, the nature and source of such standards has remained something of a mystery. Recent work on the evolution of norms has changed this picture dramatically. (shrink)

Information theory offers a measure of "mutual information" which provides an appropriate measure of tracking efficiency for the naturalistic epistemologist. The statistical entropy on which it is based is arguably the best way of characterizing the uncertainty associated with the behavior of a system, and it is ontologically neutral. Though not appropriate for the naturalization of meaning, mutual information can serve as a measure of epistemic success independent of semantic maps and payoff structures. While not containing payoffs as terms, mutual (...) information places both upper and lower bounds on payoffs. This constitutes a non-trivial relationship to utility. (shrink)

The concept of information tempts us as a theoretical primitive, partly because of the respectability lent to it by highly successful applications of Shannon’s information theory, partly because of its broad range of applicability in various domains, partly because of its neutrality with respect to what basic sorts of things there are. This versatility, however, is the very reason why information cannot be the theoretical primitive we might like it to be. “Information,” as it is variously used, is systematically ambiguous (...) between whether it involves continuous or discrete quantities, causal or noncausal relationships, and intrinsic or relational properties. Many uses can be firmly grounded in existing theory, however. Continuous quantities of information involving probabilities can be related to information theory proper. Information defined relative to systems of rules or conventions can be understood relative to the theory of meaning . A number of causal notions may possibly be located relative to standard notions in physics. Precise specification of these distinct properties involved in the common notion of information can allow us to map the relationships between them. Consequently, while information is not in itself the kind of single thing that can play a significant unifying role, analyzing its ambiguities may facilitate headway toward that goal. (shrink)

It is common in attempts to extend the theory of evolution to culture to generalize from the causal basis of biological evolution, so that evolutionary theory becomes the theory of copying processes. Generalizing from the formal dynamics of evolution allows greater leeway in what kinds of things cultural entities can be, if they are to evolve. By understanding the phenomenon of cultural transmission in terms of coordinated phenotypic variability, we can have a theory of cultural evolution which allows us to (...) avoid the various difficulties with the elaboration of informational entities such as the cultural replicator, or meme. Such an account is a boon to the project of evolutionary epistemology since it confirms the presumption in favor of the general adaptiveness of culture, illuminating rather than obscuring the inherent intimacy of our relationship to (e.g.) our ideas. (shrink)

Skyrms describes how evolutionary models are helping us understand unselfish or cooperative behaviour in humans and animals. Mechanisms which can stabilize cooperative behaviour are sensitive to population densities, however. This creates the need for agent-based evolutionary models which depict individual interactions, spatial locations, and stochastic effects. One such model suggests that hostile environments may provide conditions conducive to the emergence and stabilization of cooperative behaviour. In particular, simulations show that random extinctions can keep population densities low, provide ongoing colonization opportunities, (...) and insulate cooperative communities from invasion. Agent-based and population models play complementary roles in furthering our understanding evolutionary processes. (shrink)

Empirical research has discovered that experimental subjects in ultimatum bargaining situations generally fail to play the decision-theoretic optimum strategy, and instead play something between that strategy and a fair split. In evolutionary dynamics, fair division and nearly fair division strategies often go to fixation and weakly dominated strategies can do quite well. Computer simulations were done using three different ultimatum bargaining games as determinates of fitness. (1) No tendency toward the elimination of weakly dominated strategies was observed, with or without (...) mutation. (2) Strategies making fair demands had sizable basins of attraction. (3) In a system where five different demands can be made, demands closest to (approximately) 91% had the largest basins of attraction. (4) If the strategies have thresholds for acceptable demands, rather than individuated responses to each demand, the apparent optimum demand may be quite low: 64% for one set of trials. (shrink)

Evolving signaling systems can be said to induce partitions on the space of world states as they approach equilibrium. Formalizing this claim provides a general framework for understanding what it means for language to “cut nature at its seams”. In order to avoid taking our current best science as providing the adaptive target for all evolving systems, the state space of the world must be characterized exclusively in terms of the coincidence of stimuli and payoffs that drives the evolution of (...) cognitive complexity. Cognition exploits the reliable clustering of events in this space. Using this framework to analyze our ordinary concepts of truth and justification, it appears that while justification can be a simple matter of conforming to historically entrenched strategies, truth cannot be fully specified on the basis of the system’s causal history, but requires a robust clustering in the larger world state space. (shrink)

The evolution of economic altruism is one of the most vigorous areas of study at the intersection of biology, economics, and philosophy. The basic problem is easily understood. Biological organisms, be they people or paramecia, have ample opportunity to confer benefits on others at relatively low cost to themselves. If conferring such benefits becomes common, the overall productivity of the population in which it occurs is increased. Presumably, there is no advantage to refusing such benefits, but it is also the (...) case that there is considerable advantage to pursuing a strategy according to which such benefits are accepted, but not conferred. In populations where individuals interact at random with others and when individuals play pure strategies (i.e., they always confer or do not confer benefits), the inevitable outcome is that altruistic behavior is driven to extinction. (Axelrod 1984) Nonetheless, there is ample evidence that self-sacrificing behavior is common in nature. (Sober and Wilson 1998) Consequently, individuals must not be interacting at random. The pressing question is then: what patterns of non-random interaction are responsible for the prevalence of altruistic behavior, and more theoretically, what sorts of plausible mechanisms exist that could generate the right kind of non- 1 The research reported here was supported by Canada ????? grant # ????? and the Centre for Applied Ethics at the University of British Columbia. (shrink)

Telenomic Agency: Towards a proper functions theory of normativity (pdf) is a recent paper on the biological basis of normativity. This paper attempts to show that the notion of biological function/malfunction has more to offer our understanding of genuine agency than is usually acknowledged. It is suggested that moral and rational normativity attach to signals in very specific biological regulatory systems, and that the complexity of these systems accounts for much of the phenomenological richness of agency, as well as showing (...) the error in standard counterexamples. If this is correct, it turns out that the incommensurability between "is" and "ought" may be due to the requirements of the systems within which descriptive and overtly normative language have their biologically normative roles, rather than to any incompleteness in naturalistic accounts. One consequence is that moral language can have objective (and naturalistically specifiable) truth conditions, without special moral facts and without reducibility to naturalistic description. (shrink)

Evolutionary theory offers the possibility of building an epistemology that requires neither a theory of truth nor a definition of knowledge, thus bypassing some of the more notable difficulties with standard approaches to epistemology. Following a critique of one of the most popular approaches to thinking about cultural evolution I argue for a frequentist approach to evolutionary epistemology, and that cultural transmission should be understood as coordinated phenotypic variability within groups of closely related organisms. I construct a formal system which (...) allows the analysis of the evolution of networks of multiple interacting populations. Of particular epistemological interest is the relationship between genetic evolution and the evolution of cultural entities. The information-theoretic notion of "mutual information" is employed to quantify the transfer of information from the environment as it determines genetic fitnesses into the distribution of acquired traits Two simple models are constructed and analyzed. A two-level model of the navigation of a colony of bacteria demonstrates how selection on inherited traits affects the acquisition of information on the level of transient behavioral traits. A three-level model of bumblebee foraging shows how information about the environment is caught up in distributions of acquired foraging preferences--a bee-analog of human cognitive states. The Appendix contains an analytic proof of information gain under selection. (shrink)

Part II: Modeling Chapter 3: Single Populations Chapter 4: Multiple Populations Chapter 5: Information [ “The Use of Information Theory in Epistemology”, Philosophy of Science ...] Chapter 6: A two level model for Bacterial Epistemology Chapter 7: A three level model for Bumblebee Epistemology [ “Reliability and Novelty”.

Philosophers spend a lot of time worrying about rules. We worry about how one ought to live, about the rules of justification for beliefs and actions, about what it would be like if the rules of reason were rigorously followed, about what the rules are for scientific enquiry, about which rules govern the meaning of signs and the intentions of agents, and so on. Sometimes, we argue that there are no such rules as most of us want to believe there (...) are, rules which apply to all of us collectively and to each of us individually, which are beyond our ability to change, and whose violation is in some simple sense wrong. To this we often respond that without such rules we are all made somehow less, that our normative deliberations are a sham, or even that the whole business of living becomes somehow pointless. (shrink)

What does a naturalistic epistemologist do? Content Type Journal Article Pages 1-4 DOI 10.1007/s11016-011-9531-7 Authors William F. Harms, Humanities and Social Sciences, Seattle Central Community College, 1701 Broadway, Seattle, WA 98122-9905, USA Journal Metascience Online ISSN 1467-9981 Print ISSN 0815-0796.

Information about the environment is captured in human biological systems on a variety of interacting levels – in distributions of genes, linguistic particulars, concepts, methods, theories, preferences, and overt behaviors. I investigate some of the basic principles which govern such a hierarchy by constructing a comparatively simple three-level selection model of bee foraging preferences and behaviors. The information-theoretic notion of ''''mutual information'''' is employed as a measure of efficiency in tracking a changing environment, and its appropriateness in epistemological applications is (...) discussed at some length. In particular, information accumulated in mid-level preference distributions exhibits suggestive properties for the purposes of naturalistic epistemology. It also appears that the novelty of scientific objects and representations and the rapidity of scientific change relative to genetic change need present no obstacle to the use of such models in explanations of scientific progress and the reliability of scientific judgement. (shrink)