Science and Religion: Getting Ready for the Future

I explore three challenges for the current dialogue between science and religion: the challenges from hermeneutics, feminisms, and postmodernisms. Hermeneutics, defined as the practice and theory of interpretation and understanding, not only deals with questions of interpreting texts and data but also examines the role and use of language in religion and in science, but it should not stop there. Results of the post‐Kuhnian discussion are used to exemplify a wider range of hermeneutical issues, such as the ideological potential of scientific concepts, the dynamics of interdisciplinarity, and the significance of the socioeconomic situatedness of science and religion. Feminist research analyzes the consequences of the interplay of masculine, feminine, and gender typologies in religion and science. Examples from the history of science as well as current scientific conceptualizations indicate that beliefs in the inferiority of woman form part of our inherited scientific, religious, and metaphysical framework. It is argued that postmodernism in its most constructive form shares the best fruits of modernity, especially of the Enlightenment, while avoiding some of its most serious mistakes. In conclusion, reflecting on the three publics engaged in the dialogue between science and religion—academe, religious communities, and societies—I offer constructive suggestions and critical observations concerning the future of this dialogue.     

PEIRCEAN APPROACHES TO EMERGENT SYSTEMS IN COGNITIVE SCIENCE AND RELIGION

Cognitive science and religion provides perspectives on human cognition and spirituality. Emergent systems theory captures the subatomic, physical, biological, psychological, cultural, and transcendent relationships that constitute the human person. C. S. Peirce's metaphysical categories and existential graphs enrich traditional cognitive science modeling tools to capture emergent phenomena. From this richer perspective, one can reinterpret the traditional doctrine of soul as form of the body in terms of information as the constellation of constitutive relationships that enables real possibility.     

Artificial intelligence for the measurement of vocal stereotypy

Both researchers and practitioners often rely on direct observation to measure and monitor behavior. When these behaviors are too complex or numerous to be measured in vivo, relying on direct observation using human observers increases the amount of resources required to conduct research and to monitor the effects of interventions in practice. To address this issue, we conducted a proof of concept examining whether artificial intelligence could measure vocal stereotypy in individuals with autism. More specifically, we used an artificial neural network with over 1,500 minutes of audio data from 8 different individuals to train and test models to measure vocal stereotypy. Our results showed that the artificial neural network performed adequately (i.e., session-by-session correlation near or above .80 with a human observer) in measuring engagement in vocal stereotypy for 6 of 8 participants. Additional research is needed to further improve the generalizability of the approach.     

Executive functions predict conceptual learning of science

We examined the relationship between executive functions and both factual and conceptual learning of science, specifically chemistry, in early adolescence. Sixty‐three pupils in their second year of secondary school (aged 12–13 years) participated. Pupils completed tasks of working memory (Spatial Working Memory), inhibition (Stop‐Signal), attention set‐shifting (ID/ED), and planning (Stockings of Cambridge), from the CANTAB. They also participated in a chemistry teaching session, practical, and assessment on the topic of acids and alkalis designed specifically for this study. Executive function data were related to (1) the chemistry assessment which included aspects of factual and conceptual learning and (2) a recent school science exam. Correlational analyses between executive functions and both the chemistry assessment and science grades revealed that science achievements were significantly correlated with working memory. Linear regression analysis revealed that visuospatial working memory ability was predictive of chemistry performance. Interestingly, this relationship was observed solely in relation to the conceptual learning condition of the assessment highlighting the role of executive functions in understanding and applying knowledge about what is learned within science teaching.     

MORAL DECISIONS ABOUT HUMAN GERM-LINE MODIFICATION

Technologies for human germ-line modification may soon enable humanity to create new types of human beings. Decisions about use of this power entail an unprecedented combination of difficulties: the stakes are immense, the unknowns are daunting, and moral principles are called into question. Evolved morality is not a sure basis for these decisions, both because of its inherent imperfections and because genetic engineering could eventually change humans’ innate cognitive mechanisms. Nevertheless, consensus is needed on moral values relevant to germ-line modification. These values could be based on characteristics of human beings that would remain constant regardless of revised genomes.     

On Fodor's First Law of the Nonexistence of Cognitive Science

In his enormously influential The Modularity of Mind, Jerry Fodor (1983) proposed that the mind was divided into input modules and central processes. Much subsequent research focused on the modules and whether processes like speech perception or spatial vision are truly modular. Much less attention has been given to Fodor's writing on the central processes, what would today be called higher‐level cognition. In “Fodor's First Law of the Nonexistence of Cognitive Science,” he argued that central processes are “bad candidates for scientific study” and would resist attempts at empirical analysis. This essay evaluates his argument for this remarkable claim, concluding that although central processes may well be “messier” than input modules, this does not mean that they cannot be studied and understood. The article briefly reviews the scientific progress made in understanding central processes in the 35 years since the book was published, showing that Fodor's prediction is clearly falsified by massive advances in topics like decision making and analogy. The essay concludes that Fodor's Law was not based on a clear argument for why the complexities of central systems could not be studied but was likely based on intuitions and preferences that were common in psychology at the time.     

On the Meaning of Words and Dinosaur Bones: Lexical Knowledge Without a Lexicon

Although for many years a sharp distinction has been made in language research between rules and words—with primary interest on rules—this distinction is now blurred in many theories. If anything, the focus of attention has shifted in recent years in favor of words. Results from many different areas of language research suggest that the lexicon is representationally rich, that it is the source of much productive behavior, and that lexically specific information plays a critical and early role in the interpretation of grammatical structure. But how much information can or should be placed in the lexicon? This is the question I address here. I review a set of studies whose results indicate that event knowledge plays a significant role in early stages of sentence processing and structural analysis. This poses a conundrum for traditional views of the lexicon. Either the lexicon must be expanded to include factors that do not plausibly seem to belong there; or else virtually all information about word meaning is removed, leaving the lexicon impoverished. I suggest a third alternative, which provides a way to account for lexical knowledge without a mental lexicon.     

SERGIUS BULGAKOV'S CRITIQUE OF N. F. FEDOROV'S TECHNOLOGIZED RESURRECTION (AND WHY IT STILL MATTERS FOR THE CHRISTIAN DIALOGUE WITH TRANSHUMANISM)

Sergius Bulgakov (1871–1944) was one of the centrally important Russian Orthodox theologians of the past century. His theological system (Sophiology) is among the most detailed and comprehensive attempts at a novel, Orthodox systematic theology developed in engagement with western philosophical and theological movements. His first major work of theology, Unfading Light (1917), incorporates an early Orthodox critique of the radical Christian transhumanism propounded by Nikolai Fedorovich Fedorov (1829–1903). Fedorov had developed an account of humanity's prospects for a technologically facilitated eschatology. The goals of this article are: (1) to provide a concise summary Fedorov's ideas on technologized resurrection; (2) to provide an overview of Bulgakov's sympathetic critique of Fedorov's model; and (3) to discuss the ongoing relevance of that critique vis-à-vis current and future Christian dialogue with the transhumanist movement.     

An organizing model for recent cognitive science work on the self

An organizing model of ‘the self’ emerges from applying various kinds of brain injury to recent cognitive science and philosophical work on ‘the self’. This model unifies various contents and mechanisms central to current notions of the self. The article then highlights several criteria and aspects of this notion of self. Qualities of the right type and level of psychological significance delineate ‘the self’ as an organizing concept useful for recent philosophical work and cognitive science research.