Cognitive Systems Research最新文献

{"title":"Building a Cognitive Twin using a distributed cognitive system and an evolution strategy","authors":"Wandemberg Gibaut,&nbsp;Ricardo Gudwin","doi":"10.1016/j.cogsys.2025.101326","DOIUrl":"10.1016/j.cogsys.2025.101326","url":null,"abstract":"<div><div>This work presents a technique to build interaction-based Cognitive Twins (a computational version of an external agent) using input–output training and an Evolution Strategy on top of a framework for distributed Cognitive Architectures. Here, we show that it is possible to orchestrate many simple physical and virtual devices to achieve good approximations of a person’s interaction behavior by training the system in an end-to-end fashion and present performance metrics. The generated Cognitive Twin may later be used to automate tasks, generate more realistic human-like artificial agents or further investigate its behaviors.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"90 ","pages":"Article 101326"},"PeriodicalIF":2.1,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A study of conceptual primitive elimination: Embedding INGEST into PTRANS","authors":"Jamie C. Macbeth,&nbsp;Alexis Kilayko","doi":"10.1016/j.cogsys.2025.101325","DOIUrl":"10.1016/j.cogsys.2025.101325","url":null,"abstract":"<div><div>In cognitive systems and cognitive linguistics, primitive decomposition systems attempt to explain cognitive phenomena by breaking things down into conceptual building blocks and provide rich and flexible representations for systems. A prime example is the Schank–Minsky Conceptual Dependency Trans-frames system, which maintains a commitment to keeping the number of primitives small and allowing them to be combined in complex ways in representing meaning, knowledge, and dynamic episodic memory. Motivated by the desire to keep the set of primitives small, this paper describes an effort to eliminate the Conceptual Dependency <span>INGEST</span> primitive and reconstitute its uses through combinations of the CD <span>PTRANS</span> primitive and CD’s representations of containment. The implementation is performed in <span>Babel</span>, an automated paraphrase generation system which generates English realizations of CD structures and which has been used in multiple natural language understanding and story understanding systems. The implementation combines the discrimination nets used for selecting word senses for the <span>INGEST</span> primitive with those for the <span>PTRANS</span> primitive. Once the implementation was complete, we also ran <span>Babel</span> using the new structures to generate paraphrases of CD structures and to determine the degree of success in our primitive re-expression endeavor.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"90 ","pages":"Article 101325"},"PeriodicalIF":2.1,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cognitive modeling based on geotagged pictures of urban landscapes using mobile electroencephalogram signals and machine learning models","authors":"Farbod Farhangi ,&nbsp;Abolghasem Sadeghi-Niaraki ,&nbsp;Seyed Vahid Razavi-Termeh ,&nbsp;Farimah Farhangi ,&nbsp;Soo-Mi Choi","doi":"10.1016/j.cogsys.2025.101324","DOIUrl":"10.1016/j.cogsys.2025.101324","url":null,"abstract":"<div><div>Evaluating the impact of urban landscapes on human cognition is a hot issue in urban studies which has progressed by producing mobile electroencephalogram (EEG) devices. However, it is still challenging to investigate the effects of urban landscapes in remote places. Nowadays, geotagged pictures share much information about urban landscapes worldwide. This work aimed to model the effect of geotagged pictures of urban landscapes on two mental states of attention and meditation using mobile EEG signals with multi-layer perceptron (MLP), random forest (RF), and support vector regression algorithms. Thirty-five picture features from 350 pictures of 39 Iran cities, and EEG signals of 32 healthy adult participants trained models. Cross-validation revealed that all models performed well with slight differences and had good generalizability. Meanwhile, the most accurate results were related to the prediction of the meditation state by RF with R² coefficient of 0.895, root mean square error of 0.149, and mean absolute error of 0.114. Correspondingly, 0.792, 0.178, and 0.14 were similar values for the prediction of attention state by MLP (the least accurate predictions). The Gini index recognized color histogram and HSV (hue, saturation, value) color space as the most important features in predictions. Generally, color features were more important than entity features, confirming the high impact of colors in landscapes. Although this research has some limitations, in line with previous works, we observed that each picture affected participants’ minds differently, existing particular elements in urban landscapes gained attention and meditation levels, and pictures of green space increased attention level more than meditation. Overall, the proposed approach may help to understand how urban landscapes affect citizens’ cognition even in unnoticed and remote places. However, using more conceptual picture features in modeling can improve the findings.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"90 ","pages":"Article 101324"},"PeriodicalIF":2.1,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Complete tableau calculi for Regular MaxSAT and Regular MinSAT","authors":"Jordi Coll ,&nbsp;Chu-Min Li ,&nbsp;Felip Manyà ,&nbsp;Elifnaz Yangin","doi":"10.1016/j.cogsys.2024.101319","DOIUrl":"10.1016/j.cogsys.2024.101319","url":null,"abstract":"<div><div>The use of constraint models in symbolic AI has significantly increased during the last decades for their capability of certifying the existence of solutions as well as their optimality. In the latter case, approaches based on the Maximum and Minimum Satisfiability problems, or MaxSAT and MinSAT, have shown to provide state-of-the-art performances in solving many computationally challenging problems of social interest, including scheduling, timetabling and resource allocation. Indeed, the research on new approaches to MaxSAT and MinSAT is a trend still providing cutting-edge advances. In this work, we push in this direction by contributing new tableaux-based calculi for solving the MaxSAT and MinSAT problems of regular propositional logic, referred to as Regular MaxSAT and Regular MinSAT problems, respectively. For these problems, we consider as well the two extensions of the highest practical interest, namely the inclusion of weights to clauses, and the distinction between hard (mandatory) and soft (desirable) constraints. Hence, our methods handle any subclass of the most general variants: Weighted Partial Regular MaxSAT and Weighted Partial Regular MinSAT. We provide a detailed description of the methods and prove that the proposed calculi are sound and complete.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"90 ","pages":"Article 101319"},"PeriodicalIF":2.1,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computational model for affective processing based on Cognitive Sciences: An approach using deterministic finite automata’s and temporal heterogeneity","authors":"Carlos Zárate,&nbsp;Félix Ramos,&nbsp;Alan Christian López Fraga","doi":"10.1016/j.cogsys.2025.101322","DOIUrl":"10.1016/j.cogsys.2025.101322","url":null,"abstract":"<div><div>Cognitive architectures represent an alternative in the quest to develop general purpose artificial intelligence, for which cognitive sciences are studied. In this work we will focus on modeling affective processing, an important component to enable basic emotional capabilities. This component was developed with the aim of generating affective responses in the presence of stimuli, necessary to feed a basic emotion model already proposed within our research group. For the proposal we used a layer-based model with Deterministic Finite Automata’s (DFA) to process stimuli along the time, which works as structures to store and represent stimulus–response associations. This approach provides an independent component, contrary to the proposals commonly seen in the state of the art, where this process is often embedded in the feelings and emotions calculations. This model was tested to respond to the sounds consonance, showing that is capable to provide and reinforce responses for specific stimuli features. The results obtained show that the model is capable of making associations between the encoded stimuli and the expected responses, taking advantage of the fact that it is not necessary to be trained to identify stimulus patterns but only to learn to respond to them.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"90 ","pages":"Article 101322"},"PeriodicalIF":2.1,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Constructivist procedural learning for grounded cognitive agents","authors":"Sean Kugele","doi":"10.1016/j.cogsys.2025.101321","DOIUrl":"10.1016/j.cogsys.2025.101321","url":null,"abstract":"<div><div>Constructivism is a learning theory based on the idea that individuals actively build their understanding of the world through their interactions with their environment. Learning is a dynamic process where new knowledge builds on prior knowledge, and a learner’s mental models are continually refined by their experiences. Building on this theoretical framework and Drescher’s seminal contributions to constructivist AI, this paper explores constructivism within the context of LIDA (Learning Intelligent Decision Agent), a biologically inspired cognitive architecture. Specifically, I develop a modified version of Drescher’s schema mechanism, which I use to implement LIDA’s Procedural Memory and Action Selection modules. I demonstrate that an agent based on this implementation can construct an accurate internal model of its environmental interactions and use that model to select goal-directed behaviors. This work significantly advances LIDA’s computational capabilities by implementing grounded instructionist procedural learning, hierarchical action plans, and the selection of exploratory behaviors. These computational enhancements will enable the creation of more sophisticated LIDA-based agents that can operate in more complex environments where the hand-coding of procedural knowledge is infeasible. An alternate way to view this work is as an enhancement to Drescher’s schema mechanism, which is a purely symbolic and ungrounded cognitive system. LIDA’s sensory and perceptual systems provide a means by which the schema mechanism’s representations can be grounded. This, in itself, is an important contribution of this paper.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"90 ","pages":"Article 101321"},"PeriodicalIF":2.1,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-control on the path toward artificial moral agency","authors":"Paul Bello,&nbsp;Will Bridewell","doi":"10.1016/j.cogsys.2024.101316","DOIUrl":"10.1016/j.cogsys.2024.101316","url":null,"abstract":"<div><div>The ability of agents to commit to their plans and see them through is a core concept in the philosophy of action (<span><span>Bratman, 1987</span></span>, <span><span>Holton, 2009</span></span>) and is considered to be a defining feature of having an intention. Seeing plans through in the face of highly compelling opportunities for action that are incompatible with our current commitments requires self-control. In this review paper, we draw upon ancient and modern literature on self-control along with contemporary ideas about the cognitive architecture supporting intentional action to argue that any computational account of moral agency must include an approach to self-control. In addition, we extract and develop a list of necessary features of the phenomena against which individual modeling efforts can be compared. The ARCADIA cognitive system will be discussed in light of this list of features and used to demonstrate both success and failure in a highly simplified self-control dilemma. Finally, we end by discussing a path toward more functionally complete models of agency and control, along with offering perfunctory thoughts on some of the more conceptually challenging issues to address in the future.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"89 ","pages":"Article 101316"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cognitive architecture for F-2 companion robot to support semantic shifts and cognitive domains via scenario oppositions","authors":"Artemiy A. Kotov ,&nbsp;Alexander A. Filatov ,&nbsp;Zakhar A. Nosovets","doi":"10.1016/j.cogsys.2024.101320","DOIUrl":"10.1016/j.cogsys.2024.101320","url":null,"abstract":"<div><div>We develop an applied cognitive architecture, which can operate on companion robots and support cognitive functions typical of higher order human communication, such as humor and cognitive domains like <em>imagination</em>, irony and <em>theory of mind</em>. In the applied studies this architecture, developed as a real-world interface for the cognitive model, operates on F-2 companion robot or runs text processing on the server without the robot. The robot constructs representation for speech, visual and tactile events in a unified way, based on the semantics representations. To simulate cognitive domains and humor, we implement parallel processing of speech syntax and semantics, so that a meaning for an alternative syntactic tree (homonymy) can be used for a humorous utterance. The parallel processing is implemented via an engine of scenarios – <em>if-then</em> operators or <em>productions</em>. The scenarios, invoked by a stimulus, compete with each other basing on the oppositions of their semantic markers. The winning scenario forms a “believable” representation of a stimulus for the robot, while the suppressed (opposed) scenarios form the representations of cognitive domains. If a stimulus is evaluated as “bad”, but an opposed scenario suggests “good” representation, this representation is used for <em>imagination</em>. If a scenario suggests an emotional interpretation and assigns “me/myself” marker, while the correct representation suggests “another” person in this position, this representation is used for <em>the theory of mind</em> – another person’s point of view. Scenarios, departing from a stimulus, are also used as an inference engine that forms derived semantic representations to be replied by the robot. This mechanism is also combined with emotional evaluation, as a rational inference may invoke emotions or shift the category of an object in the initial stimulus.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"89 ","pages":"Article 101320"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing food waste interests and environmental concerns in young adults: A qualitative reasoning approach","authors":"Konstantina Zacharaki,&nbsp;Queralt Prat-i-Pubill,&nbsp;Jennifer Nguyen,&nbsp;Nil Agell,&nbsp;Núria Agell","doi":"10.1016/j.cogsys.2024.101318","DOIUrl":"10.1016/j.cogsys.2024.101318","url":null,"abstract":"<div><div>The large amount of food waste produced worldwide highlights the urgent need to investigate this phenomenon promptly with new methods in order to reduce it. In the present work, we consider a qualitative reasoning approach in an attempt to understand people’s interest in the food waste (FW) problem. In this direction, we run an in-person taste experiment and acquire data from 310 participants. We apply a measure based on hesitant linguistic terms sets (HLTS) to capture the degree of interest towards the environment as individuals respond to the New Environmental Paradigm scale (NEP) (<span><span>Dunlap et al., 2000</span></span>). We also calculate an index of hesitancy based on participants’ responses. Previously, they had to decide on whether a piece of fruit allegedly coming from the supermarket tastes better than another one allegedly coming from an alternative source such as applications designed to reduce food waste.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"89 ","pages":"Article 101318"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying opponent and environment modelling in decentralised multi-agent reinforcement learning","authors":"Alexander Chernyavskiy ,&nbsp;Alexey Skrynnik ,&nbsp;Aleksandr Panov","doi":"10.1016/j.cogsys.2024.101306","DOIUrl":"10.1016/j.cogsys.2024.101306","url":null,"abstract":"<div><div>Multi-agent reinforcement learning (MARL) has recently gained popularity and achieved much success in different kind of games such as zero-sum, cooperative or general-sum games. Nevertheless, the vast majority of modern algorithms assume information sharing during training and, hence, could not be utilised in decentralised applications as well as leverage high-dimensional scenarios and be applied to applications with general or sophisticated reward structure. Thus, due to collecting expenses and sparsity of data in real-world applications it becomes necessary to use world models to model the environment dynamics, using latent variables — i.e. use world model to generate synthetic data for training of MARL algorithms. Therefore, focusing on the paradigm of decentralised training and decentralised execution, we propose an extension to the model-based reinforcement learning approaches leveraging fully decentralised training with planning conditioned on neighbouring co-players’ latent representations. Our approach is inspired by the idea of opponent modelling. The method makes the agent learn in joint latent space without need to interact with the environment. We suggest the approach as proof of concept that decentralised model-based algorithms are able to emerge collective behaviour with limited communication during planning, and demonstrate its necessity on iterated matrix games and modified versions of StarCraft Multi-Agent Challenge (SMAC).</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"89 ","pages":"Article 101306"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}