A PRESCRIPTION FOR GENERATING A NEW PARADIGM IN THE CONTEXT OF SCIENCE AND THEOLOGY

Abstract. Many centers are now active in the study of the interaction between science on the one hand and theology on the other. Suggestions are made as to how such study might be furthered. The central proposal in this paper is based on the author's experience in founding and, over many years, operating the Neurosciences Research Program (NRP). The "faculty" of this group were highly competent in many fields of science and were able to deal with many of the major issues. It is here further suggested that if an NRP-like organization were established, capable of productively interacting with both science and theology, it might well generate new concepts and possibly a new paradigm in this context.     

Two Books for Teachers

Murphy, Nancey and Ellis, George F. R. On the Moral Nature of the Universe: Theology, Cosmology, and Ethics
Haught, John F. Science and Religion: From Conflict to Conversation     

Jungian Psychology, the Body, and the Future

Impressive reaffirmation of Jung's archetypal hypothesis has come from developments in behavioural biology (Tinbergen 1951; Cosmides 1985), psycholinguistics (Chomsky 1965), structural anthropology (Lévi-Strauss 1967), developmental psychology (Bowlby 1969), dream research (Jouvet 1975). neuroscience (MacLean 1976), sociobiology (Wilson 1978), and evolutionary psychiatry (Gardner 1988; Gilbert 1989). A close correspondence exists between Jungian theories of dreaming in human beings and modern biological theories of dreaming in animals. A paradigm shift is under way in the direction of a growing cross-disciplinary awareness that all human sciences are about archetypal manifestations and that these apply as much to the body as to the mind. Jungian psychology must keep abreast of these developments if it is not to be sidelined and superseded by less humane therapeutic philosophies.     

Reconsidering the path for neural and physiological methods in consumer psychology

Recent decades have witnessed a burst of neuroscience research investigating mental and physiological processes central to consumer behavior, including sensory perception, memory, and decision making. Nonetheless, few publications that include neural and physiological measures, or develop conceptual frameworks around neuroscience principles, have been published in consumer psychology. It is clear that “consumer neuroscience” has thus far not lived up to its promises in the marketing literature. We suggest three main reasons for this. First, neural and other biological markers are often mistaken to be identical to the overlaying psychological constructs in traditional consumer psychology work. Second, somewhat surprisingly, there has been an overly narrow utilization of neural data. Most previous work focused on linking existing behavioral phenomena or psychological constructs central to consumer research to neural correlates using brain imaging techniques while ignoring other methods. We argue that much can be gained from improved integration of physiological measures and through them, different levels of analysis. Third, there remain significant structural hurdles to the broad adoption of neural and physiological measures for consumer researchers. We outline how addressing these three components can translate to a more holistic understanding of the consumer via both broader and deeper consumer insights.     

Co-PoeTryMe: Interactive poetry generation

PoeTryMe is a poetry generation system that autonomously produces poems from a set of initial parameters. After using it, creative writers and other users of this system expressed the desire to partake in the creative process by directly interacting with PoeTryMe. This paper is motivated by the previous impressions. It illustrates some of the challenges of automatic poetry generation, highlights limitations of PoeTryMe, and reports on recent efforts to address user feedback and provide alternative ways of using this system. First, making some functionalities available via a web API enabled their exploitation by other systems. Those include the generation of single lines as well as retrieval of related words, allowing for additional constraints on the number of syllables, sentiment and rhyme. On top of this API, a co-creative interface, Co-PoeTryMe, has been developed. Co-PoeTryMe allows users to either start from scratch or from a generated draft. Extensive editing functionality has been incorporated, in particular, allowing lines and words to be switched or replaced by newly generated alternatives. Co-PoeTryMe, its interface and the co-creative process for producing poetry are described, along with a user study that provided useful feedback. Users pointed out the strengths of this new system, including its capacities in providing inspiration, and giving the user the ability to customize an existing draft and visualize the changes, but also pointed out weaknesses, primarily by identifying potential improvements in the user interface.     

Exploring orthographic neighborhood size effects in a computational model of Chinese character naming

Orthographic neighborhood (N) size effects have been extensively studied in English consistently producing a facilitatory effect in word naming tasks. In contrast, several recent studies on Chinese character naming have demonstrated an inhibitory effect of neighborhood size. Response latencies tend to be inhibited by inconsistent characters with large neighborhoods relative to small neighborhoods. These differences in neighborhood effects between languages may depend on the characteristics (depth) of the mapping between orthography and phonology. To explore this, we first conducted a behavioral experiment to investigate the relationship between neighborhood size, consistency and reading response. The results showed an inhibitory effect of neighborhood size for inconsistent characters but a facilitatory effect for consistent characters. We then developed two computational models based on parallel distributed processing principles to try and capture the nature of the processing that leads to these results in Chinese character naming. Simulations using models based on the triangle model of reading indicated that consistency and neighborhood size interact with the division of labor between semantics and phonology to produce these effects.     

思维与语言的关系：来自认知神经科学的证据

在有关人类心智的研究中,思维与语言的关系始终是一个复杂而重要的课题。借助于新的技术手段和研究思路,当代认知神经科学从新的角度探讨了这个古老而神秘的课题。其研究的基本逻辑是：如果某种特定的思维过程（比如简单的算术运算或者三段论推理）在本质上是“语言的”,那么,在进行这种思维活动时,大脑中负责语言信息处理的区域就会参与;反之,如果某种思维过程在本质上是“空间的”,则大脑中负责空间信息处理的区域就会参与其中。结合来自直观的脑功能图谱证据与其它的跨领域证据（如来自行为实验和脑损伤研究的证据）,能够帮助我们更加深入地认识和理解思维与语言的关系问题。     

Psychosis,symbol, affectivity 1: etiopathogenesis and treatment through analytical psychology

This is the first of two papers concerning our study into an integrated approach to psychotic disorders, conducted at the University of Palermo’s Psychiatry Unit Polyclinic over approximately 15 years. Here we will explore and reflect upon the acute psychotic condition mainly from a theoretical and conceptual perspective, while in the second paper we will explore the clinical perspective. From the point of view of psychopathology, and in the light of C.G. Jung’s conceptualization of analytical psychology, as well as calling on contributions from other authors from the systemic-relational and post-psychoanalytic field, we will clarify the ideas developed over these last few years by our team. From a more speculative perspective we will advance new interpretive hypotheses in an attempt to thoroughly understand the nature of the psychotic condition, both on a psychodynamic relational and a neuroscientific level. The paper describes how we revised our understanding of psychosis from a brain disease to a process aimed at the rearrangement of psychic functioning, as anticipated by John Weir Perry nearly 40 years ago.     

Parsing as a Cue-Based Retrieval Model

This paper develops a novel psycholinguistic parser and tests it against experimental and corpus reading data. The parser builds on the recent research into memory structures, which argues that memory retrieval is content-addressable and cue-based. It is shown that the theory of cue-based memory systems can be combined with transition-based parsing to produce a parser that, when combined with the cognitive architecture ACT-R, can model reading and predict online behavioral measures (reading times and regressions). The parser's modeling capacities are tested against self-paced reading experimental data (Grodner & Gibson, 2005), eye-tracking experimental data (Staub, 2011), and a self-paced reading corpus (Futrell et al., 2018).     

Linguistic Distributional Knowledge and Sensorimotor Grounding both Contribute to Semantic Category Production

The human conceptual system comprises simulated information of sensorimotor experience and linguistic distributional information of how words are used in language. Moreover, the linguistic shortcut hypothesis predicts that people will use computationally cheaper linguistic distributional information where it is sufficient to inform a task response. In a pre-registered category production study, we asked participants to verbally name members of concrete and abstract categories and tested whether performance could be predicted by a novel measure of sensorimotor similarity (based on an 11-dimensional representation of sensorimotor strength) and linguistic proximity (based on word co-occurrence derived from a large corpus). As predicted, both measures predicted the order and frequency of category production but, critically, linguistic proximity had an effect above and beyond sensorimotor similarity. A follow-up study using typicality ratings as an additional predictor found that typicality was often the strongest predictor of category production variables, but it did not subsume sensorimotor and linguistic effects. Finally, we created a novel, fully grounded computational model of conceptual activation during category production, which best approximated typical human performance when conceptual activation was allowed to spread indirectly between concepts, and when candidate category members came from both sensorimotor and linguistic distributional representations. Critically, model performance was indistinguishable from typical human performance. Results support the linguistic shortcut hypothesis in semantic processing and provide strong evidence that both linguistic and grounded representations are inherent to the functioning of the conceptual system. All materials, data, and code are available at https://osf.io/vaq56/ .