Revisiting Hull's Evolutionary Model of Science

Evolutionary models for scientific change are generally based on an analogy between scientific changes and biological evolution. Some dissimilarity cases, however, challenge this analogy. An issue discussed in this essay is that despite natural evolution, which is currently considered to be non-globally progressive, science is a phenomenon that we understand as globally progressive. David Hull's solution to this disanalogy is to trace the difference back to their environments, in which processes of natural selection and conceptual selection occur. I will provide two arguments against this solution, showing that Hull's formulation of natural selection prohibits him from removing the environment from the selection process. Then I point to a related tension in his theory, between realism and externalism in science, and give some suggestions to solve these tensions.

Platonism and Mathematical Explanations

Ontological parsimony requires that if we can dispense with A when best explaining B, or when deducing a nominalistically statable conclusion B from nominalistically statable premises, we must indeed dispense with A. When A is a mathematical theory and it has been established that its conservativeness undermines the platonistic force of mathematical derivations (Field), or that a non numerical formulation of some explanans may be obtained so that the platonistic force of the best numerical-based account of the explanandum is also undermined (Rizza), the parsimony principle has been respected. Since derivations resorting to conservative mathematics and proofs involved in non numerical best explanations also require abstract objects, concepts, and principles under the usual reading of “abstract,” one might complain that such accounts turn out to be as metaphysically loaded as their platonistic counterparts. One might then urge that ontological parsimony is also required of these nominalistic accounts. It might, however, prove more fruitful to leave this particular worry to the side, to free oneself, as it were, from parsimony thus construed and to look at other important aspects of the defeating or undermining strategies that have been lavished on the disposal of platonism. Two aspects are worthy of our attention: epistemic cost and debunking claims. Our knowledge that applied mathematics is conservative is established at a cost, and so is our knowledge that nominalistic proofs play a genuine theoretical role in best explanations. I will suggest that the knowledge one must acquire to show that nominalistic deductions and explanations do indeed play their respective theoretical role involves some question-begging assumptions regarding the nature and validity of proofs. As for debunking, even if the face value content of either non numerical claims, or conservative mathematical claims, or platonistic mathematical claims didn’t figure in our causal explanation of why we hold the mathematical beliefs that we do, construed or understood as beliefs about such contents, or as beliefs held in either of these three ways, we could still be justified in holding them, so that the distinction between nominalistic deductions or non numerical explanations on the one hand and platonistic ones on the other turns out to be spurious with respect to the relevant propositional attitude, i.e., with respect to belief.

On the Compatibility of Competing Narratives

We reconstruct past events, whether in history or in everyday life, in the form of narratives. Yet narratives describing one and the same set of events can and do differ. What is the relation between these different narratives? Must they necessarily conflict? When are they compatible and when not? If we can tell stories differently without getting the facts wrong, what constraints can there be for judging the adequacy of competing narratives?

Historical Narratives and Understanding

This paper defends the view that narratives that bring understanding of the past need not be exhaustively analyzable as explanatory inferences, nor as causal narratives. Instead of treating historical narrative as explanations, I argue that understanding of history can be analyzed by the general epistemic criteria of understanding. I explore one such criterion, which is of chief importance for good historical narratives: potential inferential power. As a corollary, I dispute one of the distinctive features of narratives described by some philosophers: the non-aggregativity of narrative histories. Instead, I propose that historical narratives modestly aggregate and this aggregation depends on the success of the colligatory concepts they offer.

Legal Worlds and Legal Narratives

More than a simple command of a sovereign, law is a form of moral communication, something that helps constitute the way we conceive of ourselves, our community, and our culture. In this essay, I argue that law is a form of “world projection,” a way for human communities to use law as an aesthetic way to understand themselves. Within this legal world are narratives that present an idealized reflection of our world. Law has two functions, a reflective function, in which it mirrors the actual world and a reflexive function, in which it corrects undesirable aspects of the actual world. It is through these functions that law describes the narratives within legal relationships in order to say something real and important about those corresponding relationships in the actual world.

Self as One and Many Narratives

There are different approaches to the narrative self. I limit myself to one approach that argues narratives have an important role to play in our lives without it being true that a narrative constitutes and creates the self. My own position is broadly sympathetic with that view, but my interest lies with the question of whether there is truth in the claim that to create one’s self-narrative is to create oneself. I argue that a self-narrative may be multiply realised by the inner self—impressions and emotions—and the outer self—roles in work and life. I take an optimistic attitude to the idea that narrative provides a metaphor that may stimulate insight into the nature of self if we accept a plurality of narrative selves. This paper mines a vein of research on narratives for insights into selves without being bewitched into accepting implausible conclusions.

Struggling to Achieve High Creative Standards in Romanian Advertising Industry

The creative industry daily faces genuine challenges in its work when it comes to advertising and meeting clients’ demands. Indeed, technology and the necessity of updating creativity resources urge on new approaches during campaigns, at least in the creative department. Extrinsic and intrinsic motivation stand for essential aspects in challenging new resources of creativity in a field where copywriters and art directors unfold incredibly sensitive messages based on strong and relevant insights. The present paper aims to point out the difficulties and opportunities of creative work in any advertising agency, by exploring the purpose, the barriers and the prospects of this activity in the context of a complex relationship between client and agency, brand and consumers. One could perhaps say that copywriters are just gifted people able to simply follow instructions given by the planning department. Actually, they have their own psychological and social barriers, which represent real challenges. Therefore, we have investigated these issues by conducting semi-structured interviews based on their creative experiences in both cases, as juniors and seniors, respectively. The data collected via semi-structured interviews are investigated by using content analysis.

Learning Emotion Concepts

This paper reveals the importance of learning emotion concepts due to the efficiency of emotional granularity during the categorization of emotions. There are two ways of learning emotion concepts that can contribute to emotional granularity. First, we can learn emotion words. Second, we can learn the implicit content of our emotion concepts, i.e. how emotions feel to us. In order to complete the second task, we need to acquire vivid awareness and vivid memory of the implicit content of our emotion concept. I claim that only after completing the second task can we learn emotion words in a way that is efficient for the categorization of emotions. The problem with that claim is that we do not know how to study the implicit content of our emotions, and how to obtain vivid awareness of it. In this article, I sketch a basic solution to this problem. The article has three parts. In the first part, I outline Lisa Barrett’s Conceptual Act View in order to reveal the functional role of emotion concepts in our brains. In the second part, I explain Anna Wierzbicka’s classical attempt to define emotion concepts. In the third part, I suggest how it is possible to study the fine-grained details of our emotional experience in a scientific way. The goal of developing the integrative model is to realize the learner's potential in personalized knowledge formation in an intelligent learning environment and to enhance the efficiency of learning.

Subject in Classical Logic and Speculative Logic

The paper presents the classical theory of the subject in the predication judgment, and then the Hegelian doctrine on the subject, with the intention of conducting a comparative analysis. The results of the analysis sustain the viewpoint according to which between the classical subject and the subject of speculative judgment there are some relations that entitle one to consider speculative judgment as a development of classical judgment, for the cases in which the subject is taken as a process.

Learning with ANIMA

The paper develops a semi-formal model of learning which modifies the traditional paradigm of artificial neural networks, implementing deep learning by means of a key insight borrowed from the works of Marvin Minsky: the so-called Principle of Non-Compromise. The principle provides a learning mechanism which states that conflicts in the processing of data to be integrated are a mark of unreliability or irrelevance; hence, lower-level conflicts should lead to higher-level weight-adjustments. This internal mechanism augments the external mechanism of weight adjustment by back-propagation, which is typical for the standard models of machine learning. The text is structured as follows: (§1) opens the discussion by providing an informal overview of real-world decision-making and learning; (§2) sketches a typology of decision architectures: the individualistic approach of classical decision theory, the general aggregation mechanism of social choice theory, the local aggregation mechanism of agent-based modeling, and the intermediate hierarchical model of Marvin Minsky's “Society of Mind”; (§3) sketches the general outline of ANIMA – a new model of decision-making and learning that borrows insights from Minsky's informal exposition; (§4) is the bulk of the paper; it provides a discussion of a toy exemplification of ANIMA which lets us see the Principle of Non-Compromise at work; (§5) lists some possible scenarios for the evolution of a model of this kind; (§6) is the closing section; it discusses some important differences between the way ANIMA was construed here and the typical formal rendering of learning by means of artificial neural networks and deep learning.