Статті в журналах: "Architectures cognitives"

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Choi, Dongkyu. "On Using Generative Models in a Cognitive Architecture for Embodied Agents." Proceedings of the AAAI Symposium Series 2, no. 1 (January 22, 2024): 253–55. http://dx.doi.org/10.1609/aaaiss.v2i1.27684.

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Recent popularity of generative models brought research on a variety of applications. We take a more architectural point of view, where we discuss ways in which generative AI techniques and cognitive architectures can benefit each other for a more capable overall integrated system. We use a cognitive architecture, ICARUS, as the framework for our discussion, but most of the discussed points should carry over to other architectures as well.

2

Thomson, Robert H., and Nathaniel D. Bastian. "Integrating Cognitive Architectures with Foundation Models: Cognitively-Guided Few-Shot Learning to Support Trusted Artificial Intelligence." Proceedings of the AAAI Symposium Series 2, no. 1 (January 22, 2024): 409–14. http://dx.doi.org/10.1609/aaaiss.v2i1.27708.

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We present an updated position integrating cognitive architectures into workflow by utilizing the architecture for what it does most effectively: human-like few-shot learning integrating the vast amount of data stored by foundation models. By supplementing the language-generation capabilities with the constraints of cognitive-architectures guiding prompts, it should be possible to generate more relevant output and possibly even predict when the foundation model is hallucinating. Recent advances in few-shot learning capabilities of cognitive architectures in applied domains will be discussed with some parallel capabilities described by foundation models. Just as we use research from social psychology to 'nudge' people into making informed decisions, we should be able to use cognitive architectures to 'nudge' foundation models into developing more human-relevant content.

3

Psujek, Sean, Jeffrey Ames, and Randall D. Beer. "Connection and Coordination: The Interplay Between Architecture and Dynamics in Evolved Model Pattern Generators." Neural Computation 18, no. 3 (March 1, 2006): 729–47. http://dx.doi.org/10.1162/neco.2006.18.3.729.

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We undertake a systematic study of the role of neural architecture in shaping the dynamics of evolved model pattern generators for a walking task. First, we consider the minimum number of connections necessary to achieve high performance on this task. Next, we identify architectural motifs associated with high fitness. We then examine how high-fitness architectures differ in their ability to evolve. Finally, we demonstrate the existence of distinct parameter subgroups in some architectures and show that these subgroups are characterized by differences in neuron excitabilities and connection signs.

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Ruiz Sánchez de León, José María, and Miguel Ángel Fernández Blázquez. "Cognitive architectures and brain: towards an unified theory of cognition." International Journal of Psychological Research 4, no. 2 (December 30, 2011): 38–47. http://dx.doi.org/10.21500/20112084.776.

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Cognitive architectures are defined as the group of essential components belonging to a system which allows the analysis of its cognitions and behaviors. The aim of this study is to review one of the most plausible cognitive architectures from the neuroanatomic perspective: The Adaptive Control of Thought-Rational (ACT-R) is a theory about how human mind works. Following an initial approach to its basic concepts its two computational levels are described, these are: a symbolic level , which includes declarative information; and a sub-symbolic level which is represented as a parallel set of processes. At the same time, architecture’s modules are related to brain’s functional neuroanatomy describing how cortico-striatal-thalamic circuit works

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Joshi, Himanshu, and Volkan Ustun. "Augmenting Cognitive Architectures with Large Language Models." Proceedings of the AAAI Symposium Series 2, no. 1 (January 22, 2024): 281–85. http://dx.doi.org/10.1609/aaaiss.v2i1.27689.

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A particular fusion of generative models and cognitive architectures is discussed with the help of the Soar and Sigma cognitive architectures. After a brief introduction to cognitive architecture concepts and Large Language Models as exemplar generative AI models, one approach towards their fusion is discussed. This is then analyzed with a summary of potential benefits and extensions needed to existing cognitive architecture that is closest to the proposal.

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Pérez Marco, Joaquín, Francisco José Serón Arbeloa, and Eva Cerezo Bagdasari. "Combining cognition and emotion in virtual agents." Kybernetes 46, no. 06 (June 5, 2017): 933–46. http://dx.doi.org/10.1108/k-11-2016-0340.

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Purpose The paper aims to explain the limitations of existing cognitive architectures and affective models, and propose a new cognitive-affective architecture that can be integrated in real intelligent agents to make them more realistic and believable. Design/methodology/approach The paper evaluates the state of the art, and describes the design and implementation of the cognitive-affective architecture in an agent. A brief evaluation of the agent is provided. Findings The paper clearly states that it is possible to use cognitive architectures to help, but there is a lack of architectures that address the problem of combining cognition and emotion in agents in a unified, simplified way. A cognitive-affective architecture is useful to make believable intelligent agents in an easier way. Research limitations/implications The paper does not explore a lot of possible future work that can be done to extend the emotional expressions of the agent, as well as including direct emotional-sensing capabilities in real time. Practical implications The paper argues about the need to include cognitive-affective architectures in modern intelligent agents. The architecture allows to influence and modify the behavior of the agent in real time, to achieve a more realistic and believable interaction with the user. Social implications The paper remarks the importance of a cognitive-affective architecture that makes intelligent agents able to help the users in different tasks and environments. Originality/value The paper describes a new cognitive-affective architecture and its utility for modern intelligent agents. This is proven by including it in a previous agent, which boosts its behavior and emotional expression possibilities and thus improves user experience.

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Zeigler, Bernard. "DEVS-Based Building Blocks and Architectural Patterns for Intelligent Hybrid Cyberphysical System Design." Information 12, no. 12 (December 20, 2021): 531. http://dx.doi.org/10.3390/info12120531.

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The DEVS formalism has been recognized to support generic open architectures that allow incorporating multiple engineering domains within integrated simulation models. What is missing for accelerated adoption of DEVS-based methodology for intelligent cyberphysical system design is a set of building blocks and architectural patterns that can be replicated and reused in system development. As a start in this direction, this paper offers a notional architecture for intelligent hybrid cyberphysical system design and proceeds to focus on the decision layer to consider DEVS models for basic behaviors such as choice of alternatives, perception of temporal event relations, and recognition and generation of finite state languages cast into DEVS time segments. We proceed to describe a methodology to define DEVS-based building blocks and architectural patterns for design of systems employing fast, frugal, and accurate heuristics. We identify some elements of this kind and establish their status as minimal realizations of their defined behaviors. As minimal realizations such designs must ipso facto underlie any implementation of the same cognitive behaviors. We discuss architectures drawn from the cognitive science literature to show that the fundamental elements drawn from the fast, frugal, and accurate paradigm provide insights into intelligent hybrid cyberphysical system design. We close with open questions and research needed to confirm the proposed concepts.

8

González-Santamarta, Miguel Á., Francisco J. Rodríguez-Lera, Claudia Álvarez-Aparicio, Ángel M. Guerrero-Higueras, and Camino Fernández-Llamas. "MERLIN a Cognitive Architecture for Service Robots." Applied Sciences 10, no. 17 (August 29, 2020): 5989. http://dx.doi.org/10.3390/app10175989.

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Many social robots deployed in public spaces hide hybrid cognitive architectures for dealing with daily tasks. Mostly, two main blocks sustain these hybrid architectures for robot behavior generation: deliberative and behavioral-based mechanisms. Robot Operating System offers different solutions for implementing these blocks, however, some issues arise when both are released in the robot. This paper presents a software engineering approach for normalizing the process of integrating them and presenting them as a fully cognitive architecture named MERLIN. Providing implementation details and diagrams for established the architecture, this research tests empirically the proposed solution using a variation from the challenge defined in the SciRoc @home competition. The results validate the usability of our approach and show MERLIN as a hybrid architecture ready for short and long-term tasks, showing better results than using a by default approach, particularly when it is deployed in highly interactive scenarios.

9

Vameghestahbanati, Monirosharieh, Hasan S. Mir, and Mohamed El-Tarhuni. "Simplified Overlay Architecture for Cognitive Wireless Systems." International Journal of Computer and Communication Engineering 3, no. 6 (2014): 394–97. http://dx.doi.org/10.7763/ijcce.2014.v3.356.

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10

Lynn, Spencer K., Bryan Loyall, and James Niehaus. "Growing an Embodied Generative Cognitive Agent." Proceedings of the AAAI Symposium Series 2, no. 1 (January 22, 2024): 315–19. http://dx.doi.org/10.1609/aaaiss.v2i1.27694.

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An evolutionary perspective on embodiment puts maintenance of physiology within a functional envelope as the brain’s base goal, with all other goals as refinements. Thus, all goals have physiological perturbation for their motivation and allostatic recovery as their signal of fulfillment. From this account, two entailments emerge. First, an object’s properties are not intrinsic to the object but a situated function of the morphology of the object and the affordances required by the goal. Second, categories do not exist without reference to some goal; they are constructed at the time of perception by blending prior conceptual knowledge to create an understanding of the perception with respect to the goal. Our thesis is that generative large language model (LLM) architectures are part of the solution to creating artificial organic-like cognitive architectures, but that LLMs as currently trained are generative only at a surface-level of behavior rather than deeper levels of cognition and, furthermore, that generative architectures must be coupled with an embodied cognitive agent architecture, which suggests both the additional levels at which generativity must operate and capabilities that the combined architecture must support.

11

Haber, Adam. "A Multi-Agent Control Architecture for a Rescue Robot." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 2392–93. http://dx.doi.org/10.1609/aaai.v26i1.8183.

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Cognitive architectures investigate the components and interactions neccessary for construction of an intelligent system. Despite much progress and theory, implementations of architectures are rare. This research presents a novel cognitive architecture grounded in the design of a control system for an autonomous rescue robot. Experiments are conducted in high-fidelity 3D simulation of a rescue environment based on NISTs RoboCup Rescue.

12

Al- Majidi, Basim Hasan, Ahmed Hashim Al-Aukabi, and Zainab Khalid Rashad. "Media and Architecture Media Effect on the Formation of Architectural Identity." Wasit Journal of Engineering Sciences 5, no. 1 (April 12, 2017): 174–97. http://dx.doi.org/10.31185/ejuow.vol5.iss1.71.

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The general cognitive literatures have been studied several concepts which have different effects on the field of architecture and its basic vocabulary, such as the concept of the media and its impact in highlighting the general features of architecture of the modern era, according to reality and the available circumstances on one hand and on the establishment for a balanced and stable identity within the overall architectural field, and within formulas and many varied forms in many levels within the general theoretical cognitive framework for all of them on the other hand. The research aims to define the general principles for the cognitive vision of the concept of the media and its role and influence in the field of architecture and in the formation of architectural identity, which forms the cognitive research problem and that comes as (there is lack in clarity for the cognitive perception about the effect of the concept of media on architecture in general and its role in building and shaping the architectural identity in particular). The research methodology takes the Literatures which concern with general cognitive of the concept of the media and its relationship to the concept of architectural identity within theoretical frameworks and of specific vocabulary, then the research goes to apply these frameworks to specific applications in the field of information and analysis of the results of this application and explore the verification cases of such frameworks indicators, then introduces the final conclusions highlighted the importance of the media's role in the monitoring of issues and topics of architectural and processed through two-parts (technical and humanitarian) in order to change people's perceptions to the fact that architecture and the preservation of the identity of a society from the impact of globalization as well as the evolution towards global through equilibrium between technology and investment and between culture and traditions.

13

Knowles, Kobe, Michael Witbrock, Gillian Dobbie, and Vithya Yogarajan. "A Proposal for a Language Model Based Cognitive Architecture." Proceedings of the AAAI Symposium Series 2, no. 1 (January 22, 2024): 295–301. http://dx.doi.org/10.1609/aaaiss.v2i1.27691.

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Large Language Models (LLMs) have shown impressive performance on a wide variety of tasks. However, apparent limitations hinder their performance, especially on tasks that require multiple steps of reasoning or compositionality. Arguably, the primary sources of these limitations are the decoding strategy and how the models are trained. We propose, and provide a general description of, an architecture that combines LLMs and cognitive architectures, called Language Model based Cognitive Architecture (LMCA), to overcome these limitations. We draw an analogy between this architecture and "fast" and "slow" thinking in human cognition.

14

Dehaene, Stanislas, Yadin Dudai, and Christina Konen. "Cognitive Architectures." Neuron 88, no. 1 (October 2015): 1. http://dx.doi.org/10.1016/j.neuron.2015.09.046.

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15

Селиверстов, С. А., Я. А. Селиверстов, А. Г. Котенко, О. Ю. Лукомская, Н. В. Шаталова, and О. В. Бородина. "Development of a structural diagram of a cognitive transport system." MORSKIE INTELLEKTUAL`NYE TEHNOLOGII)</msg>, no. 4(54) (December 2, 2021): 166–74. http://dx.doi.org/10.37220/mit.2021.54.4.048.

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Развитие технологий проектирования интеллектуальных систем, использующих алгоритмы схожие с мыслительной обработкой мозга, стимулируют поиски новых подходов для создания искусственного интеллекта человеческого уровня. Для выполнения столь сложных задач используются когнитивные архитектуры, представляя собой следующий уровень развития разнородных процессов интеллектуализации. В данной статье под практической призмой интеллектуализации транспортных систем исследуется процесс развития современных когнитивных архитектур. Предметом исследования является разработка структурной схемы когнитивной транспортной системы. Для выполнения этой задачи исследуются новые парадигмы когнитивного управления, расширяющие подходы к вычислительному интеллекту. Уточняется понятие когнитивной архитектуры. Исследуются современные работы в области каталогизации когнитивных архитектур. Выявляются критерии оценки когнитивных архитектур. Подробно рассматриваются и анализируются когнитивные архитектуры 4D / RCS, ALLIANCE, LIDA, использующиеся в современных системах управления беспилотным транспортом и роботами. Выявляются положительные обобщенные факторы, направленные на эффективность когнитивной архитектуры. Разрабатывается структурная схема когнитивной транспортной системы, основные подсистемы которой включают когнитивное управление транспортом, когнитивные транспортные коммуникации, когнитивные транспортные средства. Описывается структура слоев. Отмечаются преимущества, в том числе бионинспирированность, модульность, объектно-ориентированность, параллелизм, возможность использования интеллектуальных методов обучения. The development of technologies for the design of intelligent systems using algorithms similar to mental processing of the brain stimulates the search for new approaches to create artificial intelligence at the human level. To perform such complex tasks, cognitive architectures are used, representing the next level of development of heterogeneous intellectualization processes. In this article, under the practical prism of intellectualization of transport systems, the process of development of modern cognitive architectures is investigated. The subject of the research is the development of a structural diagram of the cognitive transport system. To accomplish this task, new paradigms of cognitive control are being investigated, expanding approaches to computational intelligence. The concept of cognitive architecture is clarified. Examines current work in the field of cataloging cognitive architectures. Criteria for assessing cognitive architectures are identified. Cognitive architectures 4D / RCS, ALLIANCE, LIDA, used in modern control systems for unmanned vehicles and robots, are considered and analyzed in detail. We identify positive generalized factors aimed at the effectiveness of cognitive architecture. A structural diagram of the cognitive transport system is being developed, the main subsystems of which include cognitive transport control, cognitive transport communications, and cognitive vehicles. The structure of the layers is described. The advantages are noted, including bioninspiration, modularity, object-orientation, parallelism, the possibility of using intelligent teaching methods.

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Al-khafaji, Ali Muhsen Jaafer, and Tamara Adel Mahmoud. "Biological Structure in Contemporary Architecture Work of Architect Caltrava a Model." Journal of Engineering 25, no. 2 (January 31, 2019): 1–18. http://dx.doi.org/10.31026/j.eng.2019.02.10.

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Theoretical trends have appeared Which posed the concept of biological structures in contemporary architecture concept, Spread through the emergence of architectural production that reflect and indicate the nature of the construction structures based on the ideas and principles of biological structures in biological science: Despite the emergence of many architectural proposals that tried to explain the concept in the field of architecture, but it is not dealt with in depth and not given a comprehensive definition: So there was need to search for the concept and its beginning in the biological field as a general framework down to the field of architecture for the purpose of reducing the limits of their search framework Through cognitive survey for the appearance of biological structures in production architectural that led to find previous studies to discover the knowledge gap and identify research problem which states( the presence of cognitive deficiencies demonstrates nature of the biological structures in contemporary architecture in general and in the work of architecture caltrava specially) and was determined a goal of research ( Build a conceptual framework illustrates the nature of the biological structures in contemporary architecture in general and in the work of architecture caltrava specially ) and this need requests it theoretical framework has been drawn from asset of architectural studies. Two main vocabulary (simulated biological, biological structures properties,) and application this vocabulary on three projects for Caltrava then subtract search results and to reach final conclusions and recommendations.

17

Ramsey, William. "Belief and Cognitive Architecture." Dialogue 31, no. 1 (1992): 115–20. http://dx.doi.org/10.1017/s0012217300048514.

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Considerable debate in philosophy of psychology has recently focussed upon two central themes. One concerns the ontological status of propositional attitudes like beliefs and desires, the other on the proper computational account of cognitive architecture. In the ontological debate, the two most prominent positions are eliminativism, which claims that commonsense psychology is false because there are no such things as beliefs and desires; and versions of intentional realism, which counters that beliefs and desires actually do exist in the mind/brain. In the cognitive architecture debate, there are again two outstanding views: classical cognitivism, which holds that cognition is something closely akin to symbol manipulation; and parallel distributed processing (or connectionism), which roughly maintains that cognition is the distributed activation of several simple, non-symbolic processing units. Furthermore, in spite of their different topics, the two debates have been linked by a number of authors who suggest that where you stand in the cognitive architecture debate should help determine where you stand in the debate over prepositional attitudes. So, for example, writers like Jerry Fodor have used the plausibility of classical cognitivism to defend a realist interpretation of propositional attitudes, while writers like Steve Stich and myself have argued that certain forms of connectionism support eliminativism.

18

Abbas, Sarah, Nathalie Okdeh, Rabih Roufayel, Hervé Kovacic, Jean-Marc Sabatier, Ziad Fajloun, and Ziad Abi Khattar. "Neuroarchitecture: How the Perception of Our Surroundings Impacts the Brain." Biology 13, no. 4 (March 28, 2024): 220. http://dx.doi.org/10.3390/biology13040220.

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The study of neuroarchitecture is concerned with the significant effects of architecture on human behavior, emotions and thought processes. This review explores the intricate relationship between the brain and perceived environments, focusing on the roles of the anterior cingulate cortex (ACC) and parahippocampal place area (PPA) in processing architectural stimuli. It highlights the importance of mirror neurons in generating empathetic responses to our surroundings and discusses how architectural elements like lighting, color, and space layout significantly impact emotional and cognitive experiences. The review also presents insights into the concept of cognitive maps and spatial navigation, emphasizing the role of architecture in facilitating wayfinding and orientation. Additionally, it addresses how neuroarchitecture can be applied to enhance learning and healing environments, drawing upon principles from the Reggio Emilia approach and considerations for designing spaces for the elderly and those with cognitive impairments. Overall, this review offers a neuroscientific basis for understanding how human cognition, emotions, spatial navigation, and well-being are influenced by architectural design.

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Razumnikova, O. M. "Cognitive Architecture of Cognitive Activity: Modeling and Psychophysiological Assessment." Успехи физиологических наук 54, no. 3 (July 1, 2023): 90–104. http://dx.doi.org/10.31857/s0301179823030074.

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Abstract—The main approaches to modeling human cognitive activity and the underlying neural mechanisms are described. The systematization of cognitive architectures is given, and such popular models as ACT-R, SOAR, CLARION and CHREST is overviewed with examples of their practical application in psychology and neurophysiology. The use of the developed models of cognitive functions makes it possible to predict the effectiveness of perception and selection of information, which knowledge and procedures are required for the optimal solution of the problem, the expected error rate while task performing, and what functional brain system is used to organize behavior. Improvement and addition of existing models of cognitive architecture is considered as a prospect for the development of cognitive neuroscience, understanding the patterns of intelligence formation and the development of artificial intelligence.

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Justin Sagayaraj, M., Jithesh V., J. B. Singh, Dange Roshani, and K. G. Srinivasa. "A Hybrid Approach to Cognition in Radars." Defence Science Journal 68, no. 2 (March 13, 2018): 183. http://dx.doi.org/10.14429/dsj.68.12228.

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In many engineering domains, cognition is emerging to play vital role. Cognition will play crucial role in radar engineering as well for the development of next generation radars. In this paper, a cognitive architecture for radars is introduced, based on hybrid cognitive architectures. The paper proposes deep learning applications for integrated target classification based on high-resolution radar range profile measurements and target revisit time calculation as case studies. The proposed architecture is based on the artificial cognitive systems concepts and provides a basis for addressing cognition in radars, which is inadequately explored for radar systems. Initial experimental studies on the applicability of deep learning techniques under this approach provided promising results.

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Salvucci, Dario D., Erwin R. Boer, and Andrew Liu. "Toward an Integrated Model of Driver Behavior in Cognitive Architecture." Transportation Research Record: Journal of the Transportation Research Board 1779, no. 1 (January 2001): 9–16. http://dx.doi.org/10.3141/1779-02.

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Driving is a multitasking activity that requires drivers to manage their attention among various driving- and non-driving-related tasks. When one models drivers as continuous controllers, the discrete nature of drivers’ control actions is lost and with it an important component for characterizing behavioral variability. A proposal is made for the use of cognitive architectures for developing models of driver behavior that integrate cognitive and perceptual-motor processes in a serial model of task and attention management. A cognitive architecture is a computational framework that incorporates built-in, well-tested parameters and constraints on cognitive and perceptual-motor processes. All driver models implemented in a cognitive architecture necessarily inherit these parameters and constraints, resulting in more predictive and psychologically plausible models than those that do not characterize driving as a multitasking activity. These benefits are demonstrated with a driver model developed in the ACT-R cognitive architecture. The model is validated by comparing its behavior to that of human drivers navigating a four-lane highway with traffic in a fixed-based driving simulator. Results show that the model successfully predicts aspects of both lower-level control, such as steering and eye movements during lane changes, and higher-level cognitive tasks, such as task management and decision making. Many of these predictions are not explicitly built into the model but come from the cognitive architecture as a result of the model’s implementation in the ACT-R architecture.

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Jacobs, Robert A. "Bias/Variance Analyses of Mixtures-of-Experts Architectures." Neural Computation 9, no. 2 (February 1, 1997): 369–83. http://dx.doi.org/10.1162/neco.1997.9.2.369.

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This article investigates the bias and variance of mixtures-of-experts (ME) architectures. The variance of an ME architecture can be expressed as the sum of two terms: the first term is related to the variances of the expert networks that comprise the architecture and the second term is related to the expert networks' covariances. One goal of this article is to study and quantify a number of properties of ME architectures via the metrics of bias and variance. A second goal is to clarify the relationships between this class of systems and other systems that have recently been proposed. It is shown that in contrast to systems that produce unbiased experts whose estimation errors are uncorrelated, ME architectures produce biased experts whose estimates are negatively correlated.

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Zhang, Xinyu, Mo Zhou, Huaping Liu, and Amir Hussain. "A Cognitively Inspired System Architecture for the Mengshi Cognitive Vehicle." Cognitive Computation 12, no. 1 (November 15, 2019): 140–49. http://dx.doi.org/10.1007/s12559-019-09692-6.

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Rosenbloom, Paul S., Abram Demski, and Volkan Ustun. "The Sigma Cognitive Architecture and System: Towards Functionally Elegant Grand Unification." Journal of Artificial General Intelligence 7, no. 1 (December 1, 2016): 1–103. http://dx.doi.org/10.1515/jagi-2016-0001.

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AbstractSigma (Σ) is a cognitive architecture and system whose development is driven by a combination of four desiderata:grand unification,generic cognition,functional elegance, andsufficient efficiency. Work towards these desiderata is guided by thegraphical architecture hypothesis, that key to progress on them is combining what has been learned from over three decades’ worth of separate work oncognitive architecturesandgraphical models. In this article, these four desiderata are motivated and explained, and then combined with the graphical architecture hypothesis to yield a rationale for the development of Sigma. The current state of the cognitive architecture is then introduced in detail, along with the graphical architecture that sits below it and implements it. Progress in extending Sigma beyond these architectures and towards a full cognitive system is then detailed in terms of both a systematic set of higher levelcognitive idiomsthat have been developed and severalvirtual humansthat are built from combinations of these idioms. Sigma as a whole is then analyzed in terms of how well the progress to date satisfies the desiderata. This article thus provides the first full motivation, presentation and analysis of Sigma, along with a diversity of more specific results that have been generated during its development.

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Green, E. J. "The Perception-Cognition Border: A Case for Architectural Division." Philosophical Review 129, no. 3 (July 1, 2020): 323–93. http://dx.doi.org/10.1215/00318108-8311221.

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A venerable view holds that a border between perception and cognition is built into our cognitive architecture and that this imposes limits on the way information can flow between them. While the deliverances of perception are freely available for use in reasoning and inference, there are strict constraints on information flow in the opposite direction. Despite its plausibility, this approach to the perception-cognition border has faced criticism in recent years. This article develops an updated version of the architectural approach, which I call the dimension restriction hypothesis (DRH). According to DRH, perceptual processes are constrained to compute over a bounded range of dimensions, while cognitive processes are not. This view allows that perception is cognitively penetrable, but places strict limits on the varieties of penetration that can occur. The article argues that DRH enjoys both theoretical and empirical support, and also defends the view against several objections.

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D'souza, Newton. "Revisiting a Vitruvian preface: the value of multiple skills in contemporary architectural pedagogy." Architectural Research Quarterly 13, no. 2 (June 2009): 173–82. http://dx.doi.org/10.1017/s1359135509990261.

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Recent criticisms in architectural pedagogy suggest that schools of architecture tend to privilege a narrow section of designers with limited skill-sets, neglecting individual differences. In order to encourage architectural pedagogy to become more inclusive, this paper revisits the value of multiple skill-sets in architectural design – following an original suggestion by Vitruvius – exploring it through the framework of multiple intelligences developed by cognitive psychologist Howard Gardner.

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Dourlens, Sébastien, and Amar Ramdane-Cherif. "Cognitive Memory for Semantic Agents Architecture in Robotic Interaction." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 1 (January 2011): 43–58. http://dx.doi.org/10.4018/jcini.2011010103.

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Since 1960, AI researchers have worked on intelligent and reactive architectures capable of managing multiple events and acts in the environment. This issue is part of the Robotics domain. An extraction of meaning at different levels of abstraction and the decision process must be implemented in the robot brain to accomplish the multimodal interaction with humans in a human environment. This paper presents a semantic agents architecture giving the robot the ability to understand what is happening and thus provide more robust responses. Intelligence and knowledge about objects like behaviours in the environment are stored in two ontologies linked to an inference engine. To store and exchange information, an event knowledge representation language is used by semantic agents. This architecture brings other advantages: pervasive, cooperating, redundant, automatically adaptable, and interoperable. It is independent of platforms.

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Horswill, Ian. "Visual architecture and cognitive architecture." Journal of Experimental & Theoretical Artificial Intelligence 9, no. 2-3 (April 1997): 277–92. http://dx.doi.org/10.1080/095281397147121.

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NAGOEV, Z. V., Z. A. SUNDUKOV, I. A. PSHENOKOVA, and V. A. DENISENKO. "ARCHITECTURE OF CAD FOR DISTRIBUTED ARTIFICIAL INTELLIGENCE BASED ON SELF-ORGANIZING NEURO-COGNITIVE ARCHITECTURES." News of the Kabardin-Balkar Scientific Center of RAS 2, no. 94 (2020): 40–47. http://dx.doi.org/10.35330/1991-6639-2020-2-94-40-47.

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30

Sun, Ron. "Cognitive Social Simulation Incorporating Cognitive Architectures." IEEE Intelligent Systems 22, no. 5 (September 2007): 33–39. http://dx.doi.org/10.1109/mis.2007.4338492.

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31

Islam, Md Mafiqul. "Cognitive Frameworks for Mitigating Antiblack Bias: Advancing Ethical AI Design and Development." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 4, no. 1 (April 23, 2024): 1–12. http://dx.doi.org/10.60087/jaigs.vol4.issue1.p12.

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This paper explores the utilization of cognitive modeling to address the influence of antiblackness and racism on the design and development of AI systems. Through the lens of the ACT-R/Φ cognitive architecture and ConceptNet, an existing knowledge graph system, we investigate this issue from cognitive, sociocultural, and physiological perspectives. We propose an approach that not only examines how antiblackness may permeate AI system design and development, particularly within the realm of software engineering, but also establishes links between antiblackness, human cognition, and computational cognitive modeling. We contend that overlooking sociocultural factors in cognitive architectures perpetuates a colorblind approach to modeling, obscuring the inherent sociocultural context that shapes human behavior and cognitive processes.

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Islam, Md Mafiqul. "Cognitive Frameworks for Mitigating Antiblack Bias: Advancing Ethical AI Design and Development." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 4, no. 1 (April 23, 2024): 1–12. http://dx.doi.org/10.60087/jaigs.v4i1.77.

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This paper explores the utilization of cognitive modeling to address the influence of antiblackness and racism on the design and development of AI systems. Through the lens of the ACT-R/Φ cognitive architecture and ConceptNet, an existing knowledge graph system, we investigate this issue from cognitive, sociocultural, and physiological perspectives. We propose an approach that not only examines how antiblackness may permeate AI system design and development, particularly within the realm of software engineering, but also establishes links between antiblackness, human cognition, and computational cognitive modeling. We contend that overlooking sociocultural factors in cognitive architectures perpetuates a colorblind approach to modeling, obscuring the inherent sociocultural context that shapes human behavior and cognitive processes.

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Soto Zentella, Wendy Guadalipe, Dalia Irazu Zarco Cárdenas, Sandra Mayela López Martínez, Gelacio Guzmán Díaz, and Jesús Cisneros Herrera. "Eficacia de una intervención cognitivo-conductual de inoculación al estrés para la disminución de TEPT en mujeres víctimas de abuso sexual en Hidalgo." Boletín Científico de la Escuela Superior Atotonilco de Tula 9, no. 17 (January 5, 2022): 1–10. http://dx.doi.org/10.29057/esat.v9i17.8145.

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La violencia sexual es un problema que afecta principalmente a mujeres y se relaciona con el trastorno de estrés postraumático, que se caracteriza por una intensa angustia, reacciones disociativas, evitación de situaciones y alteraciones cognitivas, entre otros síntomas, que afectan gravemente la vida de la persona. La inoculación del estrés es un tratamiento cognitivo-conductual que emplea a la psicoeducación, técnicas de relajación, la restructuración cognitiva y el entrenamiento en habilidades sociales. En esta investigación participaron 10 mujeres elegidas por conveniencia que habían sufrido de abuso sexual. Los resultados indican que los síntomas de reexperimentación, evitación, alteraciones cognitivas, reactividad fisiológica, disociación y disfuncionalidad en la vida cotidiana disminuyeron. Se concluye que este tratamiento cognitivo-conductual es eficaz para tratar los síntomas del trastornos de estrés postraumático.

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Emmett, Mathew. "Psychoactive space: Glimpses of the unknown." Design Ecologies 11, no. 1 (June 1, 2022): 107–26. http://dx.doi.org/10.1386/des_00017_1.

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As architecture and the built environment develops beyond static vernacular traditions to a state where buildings and intelligent environments become more advanced within augmented and virtual realities, this article considers how architecture can expand into a transformative dimension beyond the physical reality of architectural space. My practice utilizes cognitive science in combination with art installation and audio-visual (AV) interventions to create immersive environments.

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Spratling, M. W., and M. H. Johnson. "Preintegration Lateral Inhibition Enhances Unsupervised Learning." Neural Computation 14, no. 9 (September 1, 2002): 2157–79. http://dx.doi.org/10.1162/089976602320264033.

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A large and influential class of neural network architectures uses postintegration lateral inhibition as a mechanism for competition. We argue that these algorithms are computationally deficient in that they fail to generate, or learn, appropriate perceptual representations under certain circumstances. An alternative neural network architecture is presented here in which nodes compete for the right to receive inputs rather than for the right to generate outputs. This form of competition, implemented through preintegration lateral inhibition, does provide appropriate coding properties and can be used to learn such representations efficiently. Furthermore, this architecture is consistent with both neuroanatomical and neurophysiological data. We thus argue that preintegration lateral inhibition has computational advantages over conventional neural network architectures while remaining equally biologically plausible.

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Coburn, Alex, Oshin Vartanian, and Anjan Chatterjee. "Buildings, Beauty, and the Brain: A Neuroscience of Architectural Experience." Journal of Cognitive Neuroscience 29, no. 9 (September 2017): 1521–31. http://dx.doi.org/10.1162/jocn_a_01146.

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A burgeoning interest in the intersection of neuroscience and architecture promises to offer biologically inspired insights into the design of spaces. The goal of such interdisciplinary approaches to architecture is to motivate construction of environments that would contribute to peoples' flourishing in behavior, health, and well-being. We suggest that this nascent field of neuroarchitecture is at a pivotal point in which neuroscience and architecture are poised to extend to a neuroscience of architecture. In such a research program, architectural experiences themselves are the target of neuroscientific inquiry. Here, we draw lessons from recent developments in neuroaesthetics to suggest how neuroarchitecture might mature into an experimental science. We review the extant literature and offer an initial framework from which to contextualize such research. Finally, we outline theoretical and technical challenges that lie ahead.

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Du, Ting. "Research on the Integral Practical and Aesthetic Design Teaching of Architecture and Site Environment —Taking Kindergarten Architecture and Site Logic Model Teaching Approach as an Example." Frontiers Research of Architecture and Engineering 1, no. 2 (April 28, 2018): 50. http://dx.doi.org/10.30564/frae.v1i2.47.

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The integral practical and aesthetic design teaching of architecture and site environment is expected to deal with the junior-grade design teaching in architecture major with a current situation that the insuffcient consideration of the site environment and the chaotic city image, which caused by long-term emphasis on single function and personality performance of architecture. The key to the integral practicability and aesthetics is the emphasis on the integrality of spatial logical order of those two factors, which contains the integral harmony of function attributes, scale, logics, and modal relationships and so on. Combine with the teaching of kindergarten architecture design, using architecture and site logic model teaching methodology, through the extraction cognitive teaching approach of the site environment order logics, the cognitive teaching approach of kindergarten architecture spatial logics, the strategic teaching approach of the congruent design of the integral order of architecture and site environment logics, module and model congruent counterpoint design teaching approach of architecture and large site environment order logics, organization and construction integrated design teaching approach of architecture and small site environment spatial logics, and result design teaching approach of architectures integrated into the landscape of large site environment and their surrounding small site environment and other teaching procedures to complete the teaching tasks of the integral practical and aesthetic design of kindergarten architecture and site environment.

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Amir, Hasaruddin, Asta Juliarman Hatta, and Andi Abidah. "Study of Dramaturgy Applied by The Selected Bureau of Architectural Consultants in Indonesia." International Journal of Environment, Architecture, and Societies 1, no. 02 (August 31, 2021): 54–63. http://dx.doi.org/10.26418/ijeas.2021.1.02.54-63.

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Every architect has a different view and thought about something in designing a building. The basis of ideas design to a building is gained from experience, imagination, creativity, education, etc. Every professional architect also owns cognitive to express how the architecture works implemented through the design of a building. In architecture, there is a theory that connects drama and architecture in everyday life, dramaturgy. This article aims to see the concepts of dramaturgy in the works of the architectural consulting bureau responsible for, Omah Boto building, Aceh Tsunami Museum, and Phinisi Unm Tower. This study uses a qualitative method with data collection carried out using literature studies. Furthermore, the analyzed data is then presenting in descriptive for a more informative series. Data analysis aims to explore the relevance of the dramaturgy application in architecture to the thinking of architects in Indonesia. The results of the study show dramaturgy in architecture is used as a match between contemporary theater art and architecture. All three architectural consultants have used elements of dramaturgy in the design process. The three architectural consultants have used aspects of dramaturgy in their design process. The application of the basic concepts of dramaturgy used is an exterior setting of the building, Goals or ideas, building layout settings, visual instructions, and motion direction.

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Woods, David D. "GUTs or no GUTs (Grand Unified Theories): Does/Can/Should Cognitive Engineering have G.U.T.s?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 3 (September 2002): 468–71. http://dx.doi.org/10.1177/154193120204600353.

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What are the GUTs of Cognitive Systems Engineering (CSE)? G.U.T. is an abbreviation for Grand Unified Theory. As Cognitive Science matured, Allen Newell proposed a unifying model of cognition expressed as a software architecture SOAR. Similarly, John Anderson developed ACTR also claiming it represented a unified theory of cognition in the form of a computer simulation. Both of these cognitive architectures are computer programs that claim to simulate or be the basis for creating simulations of how people perform and learn cognitive tasks. Taking the development of Cognitive Science as a possible analogy for the potential development of Cognitive Systems Engineering, this panel discussion provides a platform to stimulate a vigorous exchange of ideas about the foundation of and potential futures of CSE.

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Sahukar, Latha, and Dr M. Madhavi Latha. "Frequency Domain based Digital Down Conversion Architecture for Software Defined Radio and Cognitive Radio." International Journal of Engineering & Technology 7, no. 2.16 (April 12, 2018): 88. http://dx.doi.org/10.14419/ijet.v7i2.16.11422.

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This paper presents a sampling rate digital down converter that is totally based on frequency domain processing. The proposed DDC is targeted for Software Defined Radio and Cognitive Radio architectures. The proposed architecture is based on replacement of the complex multiplication with direct rotation of the spectrum. Different aspects of frequency domain filtering are also discussed. The Xilinx Virtex-6 family FPGA, XC6VLX240T is used for the implementation and synthesis of the proposed FFT-IFFT based architecture. The overlapping in time domain at the output of the IFFT block is avoided using overlap and add method. In terms area, highly optimized implementation is observed in the proposed architecture when compared to the conventional DDC. The synthesis results have shown that the developed core works at a maximum clock rate of 250 MHz and at the same time occupies only 10% of the slices of FPGA.

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Shalini, Shalini, S. Srinivasan, Nitin Bansal, and Piyush Prakash. "Developing the Computational Building Blocks for General Intelligent in SOAR." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 1s (January 16, 2023): 57–63. http://dx.doi.org/10.17762/ijritcc.v11i1s.5994.

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Cognitive architecture's purpose is to generate artificial agents with capacities similar to the human mind. Soar Cognitive Architecture is to produce the fixed computational building blocks needed for generally intelligent agents— agents that can outright a variety of tasks and encode, use, and learn all types of knowledge to realize the broad cognitive abilities present in humans. This paper introduced an arithmetic agent that does multicolumn, two-digit addition in SOAR. Here, we show the entire calculating procedure, including all of its operators. We are using episodic memory assistance to enhance the set of cognitive abilities that let the agent learn and reason.

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Samaržija, Hana. "Epistemological implications of neuroarchitecture." SAJ - Serbian Architectural Journal 10, no. 3 (2018): 143–56. http://dx.doi.org/10.5937/saj1802143s.

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This article will attempt to explain how the spatial characteristics of built environments affect both the cognitive processes of producing knowledge and the epistemic quality of other doxastic states. Recent discussions in philosophy and the social sciences have been vocal about the changing dynamics of contemporary life. As clouded boundaries between labor and leisure make individuals spend most of their time in built environments, personal experiences of space, buildings, and interiors are becoming a decisive factor in self-perception and cognition. These circumstances have encouraged the advent of a new scientific field: neuro-architecture, a branch of functional design supported by neurological brain scanning technologies and the concept of neuroplasticity, the brain's capacity to change its structure along our behavior and surroundings. After articulating neuro-architecture's ambition to define spaces most suitable for promoting positive emotions, good health, and intellectual agility, the article will critically assess its epistemological implications and its potentially unfavorable impact on architectural aesthetic autonomy. This intrusion of natural sciences into the ostensibly artistic domain of architecture bears certain similarities to the tension between traditional analytic philosophy - which was preoccupied with idealized models of intellectual practices and mental processes - and scientific insights into human cognition, perhaps best illustrated by the mind-brain identity theory.

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Nagoev, Z., I. Pshenokova, O. Nagoeva, and S. Kankulov. "Situational analysis model in an intelligent system based on multi-agent neurocognitive architectures." Journal of Physics: Conference Series 2131, no. 2 (December 1, 2021): 022103. http://dx.doi.org/10.1088/1742-6596/2131/2/022103.

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Abstract An approach to the development of intelligent decision-making and control systems based on the hypothesis of the organization of neural activity of the brain in the process of performing cognitive functions is proposed. This approach, based on intelligent software agents with a developed cognitive architecture, is able to provide the process of extracting knowledge from an unstructured data flow, generalizing the knowledge and learning gained, to implement effective methods of synthesizing behavior aimed at solving various problems. A multi-agent model of situational analysis based on self-organization of distributed recursive neurocognitive architectures is presented. In particular, the basic principles of situational analysis based on multi-agent neurocognitive architectures are formulated and an algorithm for the preventive synthesis of the behavior of an intelligent agent aimed at avoiding negative situations for itself is developed. The performed computational experiment showed that on the basis of training the neurocognitive architecture by forming new agents-neurons and connections between them, a complex logical function of behavior control (in particular, situational analysis) develops (forms). The results of this study can be used to create intelligent decision-making and control systems for autonomous robots and robotic systems for various purposes.

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Müller, Peter, and David Rios Insua. "Issues in Bayesian Analysis of Neural Network Models." Neural Computation 10, no. 3 (April 1, 1998): 749–70. http://dx.doi.org/10.1162/089976698300017737.

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Stemming from work by Buntine and Weigend (1991) and MacKay (1992), there is a growing interest in Bayesian analysis of neural network models. Although conceptually simple, this problem is computationally involved. We suggest a very efficient Markov chain Monte Carlo scheme for inference and prediction with fixed-architecture feedforward neural networks. The scheme is then extended to the variable architecture case, providing a data-driven procedure to identify sensible architectures.

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Ng-Thow-Hing, Victor, Kristinn R. Thorisson, Ravi Kiran Sarvadevabhatla, Joel A. Wormer, and Thor List. "Cognitive map architecture." IEEE Robotics & Automation Magazine 16, no. 1 (March 2009): 55–66. http://dx.doi.org/10.1109/mra.2008.931634.

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46

Sun, Ron. "Desiderata for cognitive architectures." Philosophical Psychology 17, no. 3 (September 2004): 341–73. http://dx.doi.org/10.1080/0951508042000286721.

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47

Kirschenbaum, Susan S., Wayne D. Gray, and Richard M. Young. "Cognitive architectures and HCI." ACM SIGCHI Bulletin 28, no. 2 (April 1996): 18–21. http://dx.doi.org/10.1145/226650.226657.

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Toschev, Alexander, and Max Talanov. "Artificial Cognitive Architectures Review." BioNanoScience 10, no. 4 (July 20, 2020): 811–23. http://dx.doi.org/10.1007/s12668-020-00768-4.

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Bader, Oren, and Aya Peri Bader. "Coordination, negotiation, and social attention." Pragmatics and Cognition 23, no. 3 (December 31, 2016): 416–36. http://dx.doi.org/10.1075/pc.23.3.06bad.

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Living with others is a key factor shaping our urban life. Their bodily presence scaffolds our social world and is involved in the way the built environment appears to us. In this article we highlight the influence of the embodied presence of other human beings on the constitution of a special type of urban architecture — the extraordinary architectural space. Our analysis, which lies at the intersection between architecture, phenomenology and cognitive science, suggests that being in the direct presence of others constitutes this extraordinary architectural space in the sense that it transforms the built setting into a negotiated place and reveals for the subject some of its extraordinary properties. The architectural examples we discuss show that these intersubjective advantages are often embedded in and encouraged by the design of such built objects.

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Fuentes-Farías, Francisco Javier. "El espacio urbano-arquitectónico: su experiencia y significado desde una perspectiva fenomenológica." Arquitecturas del Sur 40, no. 62 (July 31, 2022): 08–23. http://dx.doi.org/10.22320/07196466.2022.40.062.01.

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What is the nature of the emotional and significant life produced by architectural forms, and how can specialists in urban-architectural design understand the psycho-affective needs - emotions, sensations, meanings and memories, etc. - of future tenants of their construction project? Through a bibliographic review of a historical and theoretical-critical nature, in the present work the theoretical framework of phenomenological architecture was addressed, What is the nature of the emotional and significant life produced by architectural forms, and how can specialists in urban-architectural design understand the psycho-affective needs - emotions, sensations, meanings, memories, etc. - of future tenants of their construction project? Through a bibliographic review of a historical and theoretical-critical nature, in this work, the theoretical framework of phenomenological architecture is addressed, considering the built context and the world of people, where the meaning of the aforementioned experiences gains life. It is suggested that the sensitive or phenomenal experience of the works built by designers, allows them to access cognitive resources - empathy, inter-corporeality, social cognition - that they can use in future construction and housing projects. In recently published works, epistemic alternatives are found about the nature of the emotional and subjective life of the hypothetical inhabitant, for example, in the cases of empathy (putting oneself in another person’s shoes), the appeal or rejection of certain places, and the 'atmosphere', or the collective sensation created by social interactions in public and other spaces. The results reveal that it is the socio-urban context where architecture’s meanings are interpreted for their application in such projects. It is concluded that this perspective is a subsidiary of philosophical and semiological pragmatism, which confirms the importance of the inhabited context to understand the meaning of what others do, say, or feel. The need for an interdisciplinary and humanistic approach is also confirmed, based on methodologies of an interpretative and phenomenological nature, which give preponderance to a posteriori knowledge, which is obtained through experience.

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