Music and Language

This review presents a highly selective survey of connections between music and language. I begin by considering some fundamental differences between music and language and some nonspecific similarities that may arise out of more general characteristics of human cognition and communication. I then discuss an important, specific interaction between music and language: the connection between linguistic stress and musical meter. Next, I consider several possible connections that have been widely studied but remain controversial: cross-cultural correlations between linguistic and musical rhythm, effects of musical training on linguistic abilities, and connections in cognitive processing between music and linguistic syntax. Finally, I discuss some parallels regarding the use of repetition in music and language, which until now has been a little-explored topic.

Investigating the impact of emotion on temporal orientation in a deep multitask setting

Temporal orientation is an important aspect of human cognition which shows how an individual emphasizes past, present, and future. Theoretical research in psychology shows that one’s emotional state can influence his/her temporal orientation. We hypothesize that measuring human temporal orientation can benefit from concurrent learning of emotion. To test this hypothesis, we propose a deep learning-based multi-task framework where we concurrently learn a unified model for temporal orientation (our primary task) and emotion analysis (secondary task) using tweets. Our multi-task framework takes users’ tweets as input and produces three temporal orientation labels (past, present or future) and four emotion labels (joy, sadness, anger, or fear) with intensity values as outputs. The classified tweets are then grouped for each user to obtain the user-level temporal orientation and emotion. Finally, we investigate the associations between the users’ temporal orientation and their emotional state. Our analysis reveals that joy and anger are correlated to future orientation while sadness and fear are correlated to the past orientation.

Managing routines and keeping on track: technology, human cognition and performativity in SMEs

PurposeRoutine dynamics provide a robust theoretical framework to explore a wide range of organizational phenomena. However, the study of routines and the effect of technology on its performativity in small and medium-sized enterprises (SMEs) still lack attention by researchers. This paper aims to analyze how the balance between process technology and human cognition affects routines' performativity in SMEs.Design/methodology/approachIt was conducted a multicase study composed of Brazilian SMEs in the bakery industry. Data collection took place through interviews with managers and employees, observation of operational processes and document analysis. Thematic content analysis was adopted for categorization and data analysis.FindingsThe authors’ findings allow inferring there is no primacy of a more automated or artisanal production process to achieve competitiveness, which breaks the paradigm of the superior performance of automated production over the artisanal process that haunts SMEs. Though technology increases production efficiency, the artisanal approach can be valuable at promoting a company by commercially using this know-how to explore other business models appreciated by the public.Practical implicationsThe authors’ proposals became relevant in a practical perspective once it works as a parameter for SME managers' decision-making about new investments in production resources and to foster public policies and other actions developed by support services for small businesses.Originality/valueThis study expands the frontiers in routines literature on SMEs, which lacks deepening. From this, SME managers can intensify actions to optimize process routines performativity through technologies or human cognition to keep the routines on track.

Cognitive prediction of obstacle's movement for reinforcement learning pedestrian interacting model

Recent studies in pedestrian simulation have been able to construct a highly realistic navigation behaviour in many circumstances. However, when replicating the close interactions between pedestrians, the replicated behaviour is often unnatural and lacks human likeness. One of the possible reasons is that the current models often ignore the cognitive factors in the human thinking process. Another reason is that many models try to approach the problem by optimising certain objectives. On the other hand, in real life, humans do not always take the most optimised decisions, particularly when interacting with other people. To improve the navigation behaviour in this circumstance, we proposed a pedestrian interacting model using reinforcement learning. Additionally, a novel cognitive prediction model, inspired by the predictive system of human cognition, is also incorporated. This helps the pedestrian agent in our model to learn to interact and predict the movement in a similar practice as humans. In our experimental results, when compared to other models, the path taken by our model’s agent is not the most optimised in certain aspects like path lengths, time taken and collisions. However, our model is able to demonstrate a more natural and human-like navigation behaviour, particularly in complex interaction settings.

Modern Intentions in Lesia Ukrainka’s Drama Cassandra

In her drama Cassandra (1903–1907) Lesia Ukrainka pays considerable attention to language and demonstrates its two defi ning forms and functional paradigms. One of them is language that appeals to the essential components of being. It is language that refl ects human existence in all its acuity and fullness of appearance. This language is complex and diffi cult to understand, but is the only real language of the age of modernism. Another language is superfi cial, appealing not to the depths of life and universal categories, but to temporary human needs and aspirations. Its task is to identify the ways and means of achieving a desired goal. Such language is manipulative, because its speakers tend to hide their personal interests under claims of the common good. Also, in the drama, Lesia Ukrainka innovatively raises a number of questions related to the internal laws of world development, the processes of human cognition, the functioning of language, and the understanding and interpretation of the word. The formulation and presentation of these issues demonstrate the clear modern attitude that the writer professed and embodied in her drama.

The Role of the Angular Gyrus in Semantic Cognition – A Synthesis of Five Functional Neuroimaging Studies

Semantic knowledge is central to human cognition. The angular gyrus (AG) is widely considered a key brain region for semantic cognition. However, the role of the AG in semantic processing is controversial. Key controversies concern response polarity (activation vs. deactivation) and its relation to task difficulty, lateralization (left vs. right AG), and functional-anatomical subdivision (PGa vs. PGp subregions). Here, we combined the fMRI data of five studies on semantic processing (n = 172) and analyzed the response profiles from the same anatomical regions-of-interest for left and right PGa and PGp. We found that the AG was consistently deactivated during non-semantic conditions, whereas response polarity during semantic conditions was inconsistent. However, the AG consistently showed relative response differences between semantic and non-semantic conditions, and between different semantic conditions. A combined analysis across all studies revealed that AG responses could be best explained by independent effects of both task difficulty and semantic processing demand. Task difficulty effects were stronger in PGa than PGp, regardless of hemisphere. Semantic effects were stronger in left than right AG, regardless of subregion. These results suggest that the AG is independently engaged in both domain-general task-difficulty-related processes and domain-specific semantic processes. In semantic processing, we propose that left AG acts as a “multimodal convergence zone” that binds different semantic features associated with the same concept, enabling efficient access to task-relevant features.

Cognitive Science of Religion and Classical Theism: A Synthesis

Launonen and Mullins argue that if Classical Theism is true, human cognition is likely not theism-tracking, at least, given what we know from cognitive science of religion. In this essay, we develop a model for how classical theists can make sense of the findings from cognitive science, without abandoning their Classical Theist commitments. We also provide an argument for how our model aligns well with the Christian doctrine of general revelation.