Cognitive Systems Research Articles

Versatile Photonic-Assisted Cognitive Radio Regulatory System Employing Joint Collaboration of Multiple Photonic Integrated Chips

Versatile Photonic-Assisted Cognitive Radio Regulatory System Employing Joint Collaboration of Multiple Photonic Integrated Chips

I Act Therefore I Live? Autopoiesis, Sensorimotor Autonomy, and Extended Agency

This paper aims to determine whether extended human-machine cognitive systems and group systems can be regarded as autonomous agents. For this purpose, I compare two notions of agency: one developed within analytical philosophy of action and based on the concept of intention, and the other introduced by enactivists via the concepts of autopoiesis and sensorimotor autonomy. I argue that only the latter approach can be used to demonstrate autonomous agency in respect of systems that are not humans as such, though they contain humans as their elements. After introducing Maturana and Varela’s conception of minimal autonomy as a kind of generalization of autopoiesis, I present the three conditions of agency put forward by Barandiaran, Di Paolo and Rohde, noting that they do not invoke the property of being alive as necessary in that respect. I argue that both extended and group systems can satisfy these conditions of agency, even though they are not alive as such. The fulfillment of these conditions, however, is ensured by the autopoietic nature of the living components of these systems. That being said, an autonomous system itself does not need to be alive in the biological sense. Sensorimotor, adaptive agency could emerge out of other processes than those responsible for biological life. The article concludes with a suggestion that this is exactly what will happen if an autonomous system is ever artificially created. It would be functionally indistinguishable from a living organism, though not alive in a biological sense.

EXPRESS:Spatial Organisation in the Human Mind as a Function of the Distance Between Stimuli.

Studies investigating serial order in working memory have shown that participants from Western cultures are faster at responding to items presented at the beginning of a sequence using their left hand and faster at responding to items at the end with their right hand. This is known as the spatial positional association of response codes (SPoARC) effect. The SPoARC effect provides evidence that recently presented information is spatially organised in the cognitive system along a horizontal axis. This study investigated the flexibility of spatialisation by testing the effect that distance between items presented on a screen has on the magnitude of the SPoARC effect. It was hypothesised that by increasing the distance between items on a screen a larger SPoARC effect would be found. We used three conditions: central, narrow, and wide. In central, four random letters were presented sequentially at the centre of the screen, in narrow the letters were presented from left to right on the screen, wide was the same as narrow but the separation between the letters was larger. Participants consisted of 64 adults aged 18-55 years old. Participants were presented with four random letters, followed by single probe letter, participants had to indicate, by pressing a key on a normal keyboard, if the probe had been in the sequence. We analysed the data with multilevel modelling. We found evidence for the SPoARC effect in all three conditions. But no evidence that the effect varied between conditions.

Framing the predictive mind: why we should think again about Dreyfus

AbstractIn this paper I return to Hubert Dreyfus’ old but influential critique of artificial intelligence, redirecting it towards contemporary predictive processing models of the mind (PP). I focus on Dreyfus’ arguments about the “frame problem” for artificial cognitive systems, and his contrasting account of embodied human skills and expertise. The frame problem presents as a prima facie problem for practical work in AI and robotics, but also for computational views of the mind in general, including for PP. Indeed, some of the issues it presents seem more acute for PP, insofar as it seeks to unify all cognition and intelligence, and aims to do so without admitting any cognitive processes or mechanisms outside of the scope of the theory. I contend, however, that there is an unresolved problem for PP concerning whether it can both explain all cognition and intelligent behavior as minimizing prediction error with just the core formal elements of the PP toolbox, and also adequately comprehend (or explain away) some of the apparent cognitive differences between biological and prediction-based artificial intelligence, notably in regard to establishing relevance and flexible context-switching, precisely the features of interest to Dreyfus’ work on embodied indexicality, habits/skills, and abductive inference. I address several influential philosophical versions of PP, including the work of Jakob Hohwy and Andy Clark, as well as more enactive-oriented interpretations of active inference coming from a broadly Fristonian perspective.

Neural processing of speech comprehension in noise predicts individual age using fNIRS-based brain-behavior models.

Speech comprehension in noise depends on complex interactions between peripheral sensory and central cognitive systems. Despite having normal peripheral hearing, older adults show difficulties in speech comprehension. It remains unclear whether the brain's neural responses could indicate aging. The current study examined whether individual brain activation during speech perception in different listening environments could predict age. We applied functional near-infrared spectroscopy to 93 normal-hearing human adults (20 to 70years old) during a sentence listening task, which contained a quiet condition and 4 different signal-to-noise ratios (SNR = 10, 5, 0, -5dB) noisy conditions. A data-driven approach, the region-based brain-age predictive modeling was adopted. We observed a significant behavioral decrease with age under the 4 noisy conditions, but not under the quiet condition. Brain activations in SNR = 10dB listening condition could successfully predict individual's age. Moreover, we found that the bilateral visual sensory cortex, left dorsal speech pathway, left cerebellum, right temporal-parietal junction area, right homolog Wernicke's area, and right middle temporal gyrus contributed most to prediction performance. These results demonstrate that the activations of regions about sensory-motor mapping of sound, especially in noisy conditions, could be sensitive measures for age prediction than external behavior measures.

Interoception in Autism: A Narrative Review of Behavioral and Neurobiological Data.

While exteroceptive sensory processing is a hallmark of autism spectrum disorder, how interoceptive processing may impact and contribute to symptomatology remains unclear. In this comprehensive narrative review on interoception in autism, we discuss: 1) difficulties with assessing interoception; 2) potential interoceptive differences; 3) interactions between neural systems for interoception, attention, sensorimotor processing, and cognition; and 4) potential differences in neural circuits involved in interoception. In general, there are mixed findings on potential interoception differences in autism. Nevertheless, some data indicate differences in integration of interoceptive and exteroceptive information may contribute to autism symptomatology. Neurologically, interoceptive processing in autism may be impacted by potential differences in the development, morphometry, and connectivity of key interoceptive hubs (vagal processing, brainstem, thalamus, insula), though much work is needed on this topic.

Identifying internalizing transdiagnostic profiles through motivational and cognitive control systems: Relations with symptoms, functionality, and quality of life

BackgroundThe diversity of patients' symptomatology among people seeking treatment on community-based mental health services poses significant challenges to traditional models of care. Recent approaches favor identifying transdiagnostic factors that allow a better understanding of patient heterogeneity and designing more effective and quality interventions. This study examines the heterogeneity of patients with internalizing symptoms based on profiles identified with cognitive and motivational control variables. Differences between these profiles on dimensional measures of psychopathology and quality of life are examined. Methods263 patients were selected by non-probabilistic sampling procedures on mental health services in the province of Huelva (Spain). A latent class analysis on the standardized scale scores of The Behavioral Inhibition/Behavioral Activation System Scales and the Effortful Control Scale of the Adult Temperament Questionnaire Short-Form was conducted. Profiles were compared on the scores of the Inventory of Depression and Anxiety Symptoms-II, the WHO Disability Assessment Schedule II, and the Health Assessment Questionnaire SF-36. ResultsThe four latent profile solution is the one that showed the best fit indicators and substantive interpretability, with a kappa of 0.94 in the cross-validation procedure with 75% of the sample. No sex differences were found between the profiles (c32 = 5.17, p = .160). Profiles #1 and #3, both characterized by an imbalance between low activation and high inhibition, had lower well-being, lower functionality, and quality of life. When comparing profile #2 (featuring the highest inhibitory control) lower scores on most internalizing scales are observed, specially claustrophobia, social anxiety, panic mania. Profile #4 (low control, high activation, and high inhibition) showed greater scores on both mania and euphoria and lower scores on emotional role. ConclusionsWe identified four distinctive profiles that had overly increased behavioral inhibition (as expected in internalizing disorders) and differed in the degree of imbalance between inhibition and activation systems, and between motivational systems and top-down cognitive control. The profile characterized by high activation and reduced cognitive (inhibitory) control was the one showing greater mood-related symptoms and lower levels of quality of life. These profiles could be generated by treatment providers to guide clinical management in an evidence-based manner.

Joint Cognitive Systems: Ideas With Impact for Designing Safer, More Resilient Automated Systems

Joint Cognitive Systems: Ideas With Impact for Designing Safer, More Resilient Automated Systems

The representation of contextual cue is stimulus-specific yet its expression is flexible.

Contextual cueing refers to the phenomenon in which individuals utilize frequently encountered environmental contexts, comprised of distractors, as cues to expedite a target search. Due to the conflict between the widespread occurrence of contextual cue transfer and the observed impact of changing the identity of distractors on contextual cue learning, the content of contextual cue representations remains contentious. Considering the independent nature of contextual cue learning and expression, our proposition is twofold: (1) Contextual cue representations are stimulus-specific, and (2) their expression is highly flexible. To validate the model, two experiments were conducted. Experiment 1 aimed to confirm the hypothesis that contextual cue representations are stimulus-specific. We manipulated the identity consistency of distractors within repeated scenes during contextual cue learning. Difficulty in contextual cue learning under the identity-changing condition would suggest the necessity of identity within contextual cue representation, indicating the stimulus-specific nature of these representations. Experiment 2 was designed to affirm the conclusion of Experiment 1 and explore the flexibility in the expression of contextual cue representations. This experiment comprised two phases: learning and testing. During the learning phase, participants were exposed to two sets of repeated scenes in different colors under two learning conditions: load and no-load. Working memory load was introduced to interfere with the expression to prevent it from becoming automatic. In the subsequent testing phase, the colors of the two scene sets were interchanged to impede retrieval based on identity. If both load and no-load conditions demonstrate similar levels of contextual cue effects during the testing phase, it implies the flexibility in the expression of contextual cue representations and confirms the conclusion of Experiment 1. In Experiment 1, a notable contextual cue learning effect was observed under the identity-consistent condition (p = 0.001). However, this effect was not evident under the identity-changing condition (p = 0.286). This finding strongly supports the stimulus-specific nature of contextual cue representation. In Experiment 2, the contextual cueing effect appeared but did not show a significant difference between the two conditions (t(23) = 0.02, p = 0.987, BF10 = 0.215), indicating the cognitive system's ability to flexibly redefine retrieval cues. This adaptability aligns with our hypothesis and confirms the high flexibility in the expression process of contextual cue representations and confirms the conclusion of Experiment 1.

Spanish Black Legend: its Origin, its Intention, and its Current Presence in Hispanic-Americans Cognitive System

Propaganda has been historically used for the benefit of certain social groups faced up to another. This propaganda is not always ethical at all. It is based on misconceptions, lies, and fallacies. We have analyzed (by using an experimental Psychology task) the presence and cognitive weight of certain mental footnotes and their influence on the Reasoning of Hispanic-Americans (Ecuadorian). These mental footnotes have been extracted from the classical work “A brief account of the destruction of the Indies” of Bartolomé de las Casas in 1552. The most relevant and significant finding of this study is the clear evidence that nowadays we can still find these historical falsehoods in the current cognitive system of Ecuadorian people which are product of a well-planned and maliciously orchestrated propaganda. We conclude that all the contents of the Spanish black legend are the consequences of the aspirations of some social sectors to boycott the Spanish culture.

Cognitive profile in multiple sclerosis and post-COVID condition: a comparative study using a unified taxonomy

Post-COVID condition (PCC) and multiple sclerosis (MS) share some clinical and demographic features, including cognitive symptoms and fatigue. Some pathophysiological mechanisms well-known in MS, such as autoimmunity, neuroinflammation and myelin damage, have also been implicated in PCC. In this study, we aimed to compare the cognitive phenotypes of two large cohorts of patients with PCC and MS, and to evaluate the relationship between fatigue and cognitive performance. Cross-sectional study including 218 patients with PCC and 218 with MS matched by age, sex, and years of education. Patients were evaluated with a comprehensive neuropsychological protocol and were categorized according to the International Classification of Cognitive Disorders system. Fatigue and depression were also assessed. Cognitive profiles of PCC and MS largely overlapped, with a greater impairment in episodic memory in MS, but with small effect sizes. The most salient deficits in both disorders were in attention and processing speed. The severity of fatigue was greater in patients with PCC. Still, the correlations between fatigue severity and neuropsychological tests were more prominent in the case of MS. There were no differences in the severity of depression among groups. Our study found similar cognitive profiles in PCC and MS. Fatigue was more severe in PCC, but was more associated with cognitive performance in MS. Further comparative studies addressing the mechanisms related to cognitive dysfunction and fatigue may be of interest to advance the knowledge of these disorders and develop new therapies.

Prefrontal Cortex Neuromodulation Improve Gait Parameters in Latinx People Living with HIV

Background: Human Immunodeficiency Virus (H.I.V.) infection affects motor and cognitive systems and can lead to impairments in gait and balance. The application of transcranial direct current stimulation (tDCS), particularly to the prefrontal cortex, has shown encouraging results in enhancing cognition and executive functioning in individuals with H.I.V., both in the short and long term. Despite the current research, some experts have suggested that incorporating a task that stimulates higher cognitive centers in conjunction with tDCS may enhance its effects. Purpose: This study aimed to examine the effect of tDCS combined with a tracking task on the prefrontal cortex as a viable treatment for enhancing balance and gait in individuals living with H.I.V. Methods: The study evaluated nine female participants, all living with H.I.V., with an average age of 58.8 ± 4.6. As part of the experiment, each participant's gait was carefully evaluated before and after tDCS treatment to measure any potential changes in their walking patterns accurately. Transcranial Direct Current Stimulation (tDCS) was non-invasively administered to the participants' prefrontal cortex within seven days to investigate its possible effects on brain function. Results: Upon analyzing the data, the results demonstrated significant variations between single and dual tasks in numerous aspects, such as temporospatial, turn, and balance, before transcranial direct current stimulation (tDCS), ultimately shedding light on the potential cognitive difficulties that may arise. Data analysis showed noticeable improvements in various aspects, such as stride length, turn duration, and balance trends, when tDCS was applied. Conclusion: This study's findings suggest that tDCS may improve these parameters. However, it is recommended that treatments be administered over an extended time, which is longer than that observed in this study.

Tendril intentionality

ABSTRACT In Representation in Cognitive Science, Nicholas Shea offers a theory of representation, of what it is for something to be a representation or have intentionality. Some things have intentionality derivatively. They have it in virtue of something else that has it. Not all intentionality can be like this. Some items must have original intentionality. That is what Shea offers a theory of. Near the end of the book, he makes a provocative suggestion about plants: if his theory is correct, then some of their parts have original intentionality. That is provocative for at least two reasons. First, many theorists think that every cognitive system has original intentionality; since plants don’t have it, they’re not cognitive systems. However, if plants do have it, that argument fails. It can’t be used to show that plants aren’t cognitive systems. Second, and separately, many theorists think that any system with original intentionality is also a cognitive system. On that assumption, if plants turn out to have original intentionality, then they positively are cognitive systems. While Shea makes this suggestion with these provocative implications, he does not adequately develop it. Doing so is my goal in this essay, focusing on the foraging of parasitic vines.

Situated minds and distributed systems in translation

Abstract This article sheds light on two different perspectives on the boundaries of the cognitive system and the consequences of their adoption for Cognitive Translation and Interpreting Studies (CTIS). Both are represented by different approaches within the cognitive scientific cluster of approaches referred to as situated or 4EA (embodied, embedded, enactive, extended, and affective) cognition. The first, the person-centred perspective, takes individuals as a starting point and describes their interactions with their social and material surroundings. The second, the distributed, extended perspective, takes the joint activity of different situated actors and material artefacts as its starting point and depicts this socio-cognitive unit as the object of analysis. With this article, we do not seek to advocate the use of one over the other. Rather, we attempt to offer a coherent interpretation of how the cognitive process of translation can be studied and interpreted as a situated activity either from the perspective of individual actors or from a larger, distributed, and extended angle that considers people and the relevant social and material environment as a system. Specifically, we discuss what is to be gained if translation is studied from a distributed cognitive perspective. To this end, we illustrate key aspects of the discussion using empirical examples from current field research in which both an individual and a distributed perspective are applied to analyse interaction in a translation workplace.

Multi-Dimensional Evaluation of an Augmented Reality Head-Mounted Display User Interface for Controlling Legged Manipulators

Controlling assistive robots can be challenging for some users, especially those lacking relevant experience. Augmented Reality (AR) User Interfaces (UIs) have the potential to facilitate this task. Although extensive research regarding legged manipulators exists, comparatively little is on their UIs. Most existing UIs leverage traditional control interfaces such as joysticks, Hand-held (HH) controllers, and 2D UIs. These interfaces not only risk being unintuitive, thus discouraging interaction with the robot partner, but also draw the operator’s focus away from the task and towards the UI. This shift in attention raises additional safety concerns, particularly in potentially hazardous environments where legged manipulators are frequently deployed. Moreover, traditional interfaces limit the operators’ availability to use their hands for other tasks. Towards overcoming these limitations, in this article, we provide a user study comparing an AR Head Mounted Display (HMD) UI we developed for controlling a legged manipulator against off-the-shelf control methods for such robots. This user study involved 27 participants and 135 trials, from which we gathered over 405 completed questionnaires. These trials involved multiple navigation and manipulation tasks with varying difficulty levels using a Boston Dynamics (BD) Spot ® , a 7 DoF Kinova ® robot arm, and a Robotiq ® 2F-85 gripper that we integrated into a legged manipulator. We made the comparison between UIs across multiple dimensions relevant to a successful human-robot interaction. These dimensions include cognitive workload, technology acceptance, fluency, system usability, immersion and trust. Our study employed a factorial experimental design with participants undergoing five different conditions, generating longitudinal data. Due to potential unknown distributions and outliers in such data, using parametric methods for its analysis is questionable, and while non-parametric alternatives exist, they may lead to reduced statistical power. Therefore, to analyse the data that resulted from our experiment, we chose Bayesian data analysis as an effective alternative to address these limitations. Our results show that AR UIs can outpace HH-based control methods and reduce the cognitive requirements when designers include hands-free interactions and cognitive offloading principles into the UI. Furthermore, the use of the AR UI together with our cognitive offloading feature resulted in higher usability scores and significantly higher fluency and Technology Acceptance Model (TAM) scores. Regarding immersion, our results revealed that the response values for the Augmented Reality Immersion (ARI) questionnaire associated with the AR UI are significantly higher than those associated with the HH UI, regardless of the main interaction method with the former, i.e., hand gestures or cognitive offloading. Derived from the participants’ qualitative answers, we believe this is due to a combination of factors, of which the most important is the free use of the hands when using the HMD, as well as the ability to see the real environment without the need to divert their attention to the UI. Regarding trust, our findings did not display discernible differences in reported trust scores across UI options. However, during the manipulation phase of our user study, where participants were given the choice to select their preferred UI, they consistently reported higher levels of trust compared to the navigation category. Moreover, there was a drastic change in the percentage of participants that selected the AR UI for completing this manipulation stage after incorporating the cognitive offloading feature. Thus, trust seems to have mediated the use and non-use of the UIs in a dimension different from the ones considered in our study, i.e., delegation and reliance. Therefore, our AR HMD UI for the control of legged manipulators was found to improve human-robot interaction across several relevant dimensions, underscoring the critical role of UI design in the effective and trustworthy utilisation of robotic systems.

Post-stroke arrhythmia could be a potential predictor for post-stroke depression

Post-stroke depression (PSD) is regarded as the consequence of multiple contributors involving the process of cognition, mood and autonomic system, with the specific mechanism unclear yet. As a common type of stroke-heart syndromes, post-stroke arrhythmia shared some common pathogenesis with PSD. We presumed that post-stroke arrhythmia might be an early distinguishable marker for the presence of PSD and aimed to verity their association in this study. Patients with first-ever ischemic stroke were enrolled. The presence of post-stroke ectopic arrhythmia and the symptoms of arrhythmia were recorded with anti-arrhythmia drugs prescribed when necessary. Patients were followed up 3 months later to identify their presence and severity of PSD using Hamilton Depression Scale (HAMD) and also presence and severity of arrhythmia. Characteristics including the prevalence of various types of arrhythmias were compared between PSD and non-PSD groups. The HAMD scores were compared between patients with and without arrhythmia in PSD group. Logistic regression was used to identify the independent predictor of PSD. Patients with PSD had higher prevalence of post-stroke arrhythmia especially newly-detected arrhythmia, symptomatic arrhythmia and poor-controlled arrhythmia. In PSD group, patients of post-stroke arrhythmia had higher scores of HAMD than those without arrhythmia. Presence of newly-detected, symptomatic and poor-controlled arrhythmias were independent predictor of PSD. post-stroke arrhythmia especially newly-detected arrhythmia and symptomatic arrhythmia could be an early predictor of PSD. Successful control of arrhythmia was associated with reduced prevalence and severity of PSD.

Intelligent jamming detection‐based robust principal components analysis in communication system for security and defense

AbstractThreats to physical layer security from jamming attacks make wireless cognitive communication systems vulnerable. Global Positioning System signal is vulnerable to these attacks. Over the last decade, several types of jamming detection techniques have been proposed, antijamming‐based classical and machine learning (ML) techniques. Most of these techniques are inefficient in detecting jammers. Thus, there is a great need for efficient and quickest jamming detection technique‐based classifier using receiver operating characteristic (ROC) curve for different threshold values with high accuracy. In this work, we compare the efficiency of the proposed orthogonal distance (OD) and score distance (SD) method‐based robust principal component analysis (PCA) in ML classification in detecting jamming signals. Two hypotheses are proposed to distinguish between the presence and absence attack problem. Using this compressed data matrix obtained from modulated wideband converter (MWC) structure via centralized cooperation directly as input of the proposed classifier combined‐based ROC curve for real‐time detection scenarios. The performance of this proposed algorithm‐based robust PCA was evaluated and compared using the detection anomaly rate (DAR%), and false alarm rate (FAR%), area under curve (AUC), and accuracy. The performance of obtained results is good.

Homo anthropologicus: Unexamined behavioural models in sociocultural anthropology

Inferences from ethnography in sociocultural anthropological arguments frequently rely on an unexamined model of the human mind and behaviour. Across a range of theoretical approaches, human thought and behaviour are implicitly understood as coherently following a single underlying cultural logic, described in terms such as ‘ontology’, habitus, political strategy. We term this implicit model Homo anthropologicus, by analogy with Homo economicus. Both simplify human behaviour and can thus lead to errors in its interpretation. We examine examples of Homo anthropologicus in anthropological approaches to ontology, caste, state evasion, and habitus. We propose that such accounts are erroneous in light of the multiple cognitive systems involved in human thought and behaviour, discussed with close reference to dual process theory. Unlike Homo anthropologicus, Homo sapiens’ behaviour is frequently inconsistent. Whilst anthropologists have long acknowledged this is the case, in practice, as we demonstrate through our examples, inconsistency is frequently seen as a problem to be explained away rather than as a feature of behaviour to be accounted for in its own right. We therefore conclude by calling for a greater degree of methodological reflexivity when making inferences from ethnography.

Cognitive Systems for the Energy Efficiency Industry

This review underscores the pivotal role of Cognitive Systems (CS) in enhancing energy efficiency within the industrial sector, exploring the application of sophisticated algorithms, data analytics, and machine learning techniques to the real-time optimization of energy consumption. This methodology has the potential to reduce operational expenses and further diminish environmental repercussions; however, it also leverages data-driven insights and predictive maintenance to foresee equipment malfunctions and modulate energy utilization accordingly. The viability of integrating renewable energy sources is emphasized, supporting a transition towards sustainability. Furthermore, this research includes a bibliometric literature analysis from the past decade on the deployment of CS and Artificial Intelligence in enhancing industrial energy efficiency.

Prediction of Degraded Infrastructure Conditions for Railway Operation.

In the railway sector, rolling stock and infrastructure must be maintained in perfect condition to ensure reliable and safe operation for passengers. Climate change is affecting the urban and regional infrastructure through sea level rise, water accumulations, river flooding, and other increased-frequency extreme natural situations (heavy rains or snows) which pose a challenge to maintenance. In this paper, the use of artificial intelligence based on predictive maintenance implementation is proposed for the early detection of degraded conditions of a bridge due to extreme climatic conditions. For this prediction, continuous monitoring is proposed, with the aim of establishing alarm thresholds to detect dangerous situations, so restrictions could be determined to mitigate the risk. However, one of the main challenges for railway infrastructure managers nowadays is the high cost of monitoring large infrastructures. In this work, a methodology for monitoring railway infrastructures to define the optimal number of transductors that are economically viable and the thresholds according to which infrastructure managers can make decisions concerning traffic safety is proposed. The methodology consists of three phases that use the application of machine learning (Random Forest) and artificial cognitive systems (LSTM recurrent neural networks).