Notes:
A hybrid cognitive architecture is a type of artificial intelligence (AI) system that combines elements from multiple AI architectures in order to simulate human-like cognition. This can involve combining elements from both symbolic and sub-symbolic AI approaches, as well as incorporating other aspects of human cognition, such as natural language processing and problem-solving abilities.
The goal of a hybrid cognitive architecture is to create an AI system that is able to perform a wide range of cognitive tasks, such as understanding and generating natural language, making inferences and decisions based on incomplete information, and solving problems in complex environments. By combining elements from different AI architectures, a hybrid cognitive architecture can potentially provide a more comprehensive and realistic simulation of human cognition.
One example of a hybrid cognitive architecture is the SOAR (State, Operator, and Result) architecture, which combines elements from both symbolic and sub-symbolic AI approaches. The SOAR architecture uses a symbolic knowledge representation to encode information about the world, as well as a set of production rules to determine how this information can be combined and used to solve problems. At the same time, the SOAR architecture also incorporates sub-symbolic learning mechanisms, such as reinforcement learning and evolutionary algorithms, in order to allow the system to adapt and improve its performance over time.
Wikipedia:
References:
See also:
Cognitive Architecture & Robotics | State Machines & Cognitive Architecture 2018
A hybrid cognitive architecture with primal affect and physiology
CL Dancy – IEEE Transactions on Affective Computing, 2019 – ieeexplore.ieee.org
Though computational cognitive architectures have been used to study several processes associated with human behavior, the study of integration of affect and emotion in these processes has been relatively sparse. Theory from affective science and affective …
Creating and Using Tools in a Hybrid Cognitive Architecture
D Choi, P Langley, ST To – 2018 AAAI Spring Symposium Series, 2018 – aaai.org
People regularly use objects in the environment as tools to achieve their goals. In this paper we report extensions to the ICARUS cognitive architecture that let it create and use combinations of objects inthis manner. These extensions include the ability to represent …
The knowledge level in cognitive architectures: Current limitations and possible developments
A Lieto, C Lebiere, A Oltramari – Cognitive Systems Research, 2018 – Elsevier
… the architecture. They will be discussed in Section 3.5 along with their current implications. 3.3. CLARION. CLARION (depicted in Fig. 3) is a hybrid cognitive architecture based on the dual-process theory of mind. From a representational …
Towards a Formal Foundation of Cognitive Architectures.
M Ragni, K Sauerwald, T Bock, G Kern-Isberner… – CogSci, 2018 – mindmodeling.org
… We focus on the two architectures with the most published models: the hybrid cognitive architecture ACT-R and the AI oriented approach SOAR. The cognitive architecture ACT-R 7.0 (Anderson, 2007) aims at a unified cognition approach …
Using a cognitive architecture with a physiological substrate to represent effects of a psychological stressor on cognition
CL Dancy, FE Ritter, KA Berry, LC Klein – Computational and Mathematical …, 2015 – Springer
… ACT-R (Anderson 2007) is a modular, hybrid cognitive architecture that provides both symbolic and subsymbolic representations; the inclusion of both is important because it allows one to alter processes like declarative memory retrieval on both gross and fine-grained levels …
From Cognitive Modeling to Robotics: How Research on Human Cognition and Computational Cognitive Architectures can be Applied to Robotics Problems
TD Kelley, C Lebiere – … Conference on Applied Human Factors and …, 2018 – Springer
… Mind by Simulating the Brain. MIT Press, Cambridge (2000)Google Scholar. 22. Vinokurov, Y., Lebiere, C., Wyatte, D., Herd, S., O’Reilly, R.: Unsupervised Learning in Hybrid Cognitive Architectures. In: Proceedings of AAAI-12 …
CIT: integrated cognitive computing and cognitive agent technologies based cognitive architecture for human-like functionality in artificial systems
A Chandiok, DK Chaturvedi – Biologically inspired cognitive architectures, 2018 – Elsevier
… ACT-R currently is going with its latest version ACT-R 7 which represents a hybrid cognitive architecture … CLARION denoting (Connectionist Learning with Adaptive rule Induction Online) is a hybrid cognitive architecture (Sun, Merrill, & Peterson, 2001) …
A review of 40 years of cognitive architecture research: Focus on perception, attention, learning and applications
I Kotseruba, OJA Gonzalez… – arXiv preprint arXiv …, 2016 – researchgate.net
Page 1. A Review of 40 Years of Cognitive Architecture Research: Focus on Perception, Attention, Learning and Applications Iuliia Kotseruba Oscar J. Avella Gonzalez John K. Tsotsos yulia_k@cse.yorku.ca ojavellag@cse.yorku.ca tsotsos@cse.yorku.ca Dept …
A survey of cognitive architectures in the past 20 years
P Ye, T Wang, FY Wang – IEEE transactions on cybernetics, 2018 – ieeexplore.ieee.org
… IV. HYBRID COGNITIVE ARCHITECTURES The third type is called the hybrid architectures. This type usually adopts hierarchical structures as well, and contains both behavior emergence from bottom up and direct symbolic processing …
ACT-R: A cognitive architecture for modeling cognition
FE Ritter, F Tehranchi, JD Oury – … Reviews: Cognitive Science, 2019 – Wiley Online Library
… Abstract. ACT-R is a hybrid cognitive architecture. It is comprised of a set of programmable information processing mechanisms that can be used to predict and explain human behavior including cognition and interaction with the environment …
The CLARION Cognitive Architecture: Toward a Comprehensive Theory of
R Sun – The Oxford Handbook of Cognitive Science, 2016 – books.google.com
6 CHAPTER the Mind Ron Sun The CLARION Cognitive Architecture: Toward a Comprehensive Theory of Abstract meta-cognition This chapter presents a hybrid cognitive architecture CLARION, which is significantly different from most existing cognitive architectures in several …
Cognitive Architecture Based Simulation of Perception and Behavior Controls for Robot
Y Liu, Z Tian, Y Liu, J Li, F Fu – International Conference on Applied …, 2018 – Springer
… motion/control simulation is implemented by applying the robot simulator v-rep, the cognitive architecture is conceive and developed by using python program language, and cognitive robot perception and behavior control based on hybrid cognitive architecture is realized …
Integrating cognitive architectures into virtual character design
JO Turner, M Nixon, U Bernardet, S DiPaola – 2016 – books.google.com
Page 1. Integrating Cognitive Architectures into Virtual Character Design Jeremy Owen Turner Simon Fraser University, Canada Michael Nixon Simon Fraser University, Canada Ulysses Bernardet Simon Fraser University, Canada …
Interdisciplinary Development and Evaluation of Cognitive Architectures Exemplified with the SiMA Approach.
S Schaat, A Wendt, S Kollmann, F Gelbard… – …, 2015 – pdfs.semanticscholar.org
… ACT-R (Anderson, Bothell, Byrne, Douglass, Lebiere & Qin, 2004), as a member of hybrid cognitive architectures, processes its data with the help of different modules, for example, a module for visual data, a module for motor data (actions), a module for goals …
MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender Systems
MB Santos, AM Lima, LA Silva, FS Vargas… – arXiv preprint arXiv …, 2019 – arxiv.org
… [18] points to advanced computational models as a pathway for future research in understanding consciousness. [19] describe a hybrid cognitive architecture based on neural networks aimed at achieving characteristics analogous to some brain functions …
Cognitive modeling for robotic assembly/maintenance task in space exploration
Y Liu, Z Tian, Y Liu, J Li, F Fu, J Bian – International Conference on …, 2017 – Springer
… It is argued that some circumstance it may be symbolic and sometimes it may be connectionist, even most cases are both or hybrid and more. A concept of hybrid cognitive architecture was introduced to practical applications recently, For example, Christian Lebiere et al …
Representational limits in cognitive architectures
A Lieto – EUCognition Meeting (European Society for Cognitive …, 2017 – iris.unito.it
… of the architecture. They will be discussed in section E along with their current implications. C. CLARION CLARION is a hybrid cognitive architecture based on the dual-process theory of mind. From a representational perspective …
Cognitive architecture based platform on human performance evaluation for space manual control task
Y Liu, Z Tian, Y Liu, J Li, F Fu – Advances in Neuroergonomics and …, 2017 – Springer
… There are three major competing categories of cognitive architecture: symbolic architectures, subsymbolic (emergent) architectures, and hybrid approaches as the mixture of the two [9]. ACT-R is the hybrid cognitive architecture that incorporates a productions system—a …
MLECOG: motivated learning embodied cognitive architecture
JA Starzyk, J Graham – IEEE Systems Journal, 2015 – ieeexplore.ieee.org
… Connectionist learning with adaptive rule induction online (CLARION) [9], a hybrid cognitive architecture, combines sensory perception with symbolic representation through neural networks, reinforcement learning (RL), and higher level declar- ative knowledge …
A Cognitive Architecture for Verifiable System Ethics via Explainable Autonomy
L Yilmaz, S Sivaraj – 2019 IEEE International Systems …, 2019 – ieeexplore.ieee.org
… with the real world. Similar to Soar, ACT-R consists of memory modules for storing productions as well as a declarative module for storing facts. Similarly, Clarion [25] is hybrid cognitive architecture. The components of Clarion …
Cognitive function synthesis: preliminary results
GAJ Pounder, RLA Ellis, G Fernandez-Lopez – Kybernetes, 2017 – emeraldinsight.com
… This synthesis could form an interface layer between deliberative/symbolic and reactive/sub- symbolic layers in hybrid cognitive architectures. Design/methodology/approach – A CFS conceptual framework, specifying an arrangement of AMs, was presented …
Modeling the Creation and Development of Cause-Effect Pairs for Explanation Generation in a Cognitive Architecture.
J Licato, N Marton, B Dong, R Sun, S Bringsjord – AIC, 2015 – iris.unito.it
… a Piagetian experiment, and show how the conditions making cause-effect pair creation possi- ble can start to be modeled using a combination of feature-extraction techniques and the structured knowledge representation in the hybrid cognitive architecture CLARION …
Comparative study of cognitive architectures
A Asselman, S Aammou… – … Research Journal of …, 2015 – pdfs.semanticscholar.org
… In Soar, clustering is subsymbolic, where non-symbolic perceptual structures are combined together to create symbols [11]. ACT-R is a hybrid cognitive architecture where the subsymbolic equations control many of the symbolic processes [12] …
A standard model of the mind: Toward a common computational framework across artificial intelligence, cognitive science, neuroscience, and robotics
JE Laird, C Lebiere, PS Rosenbloom – Ai Magazine, 2017 – wvvw.aaai.org
Page 1. Amind is a functional entity that can think, and thus support intelligent behavior. Humans possess minds, as do many other animals. In natural systems such as these, minds are implemented through brains, one particular class of physical device …
Personality-Based Cognitive Design of Characters in Virtual Environments
M Saberi – … Cognitive Architectures into Virtual Character Design, 2016 – igi-global.com
… In our hybrid cognitive architecture, a deliberative reasoning about the world (eg strategies and goals of the 3D character) is combined with dynamic real-time response to the environment’s changes and sensors’ input (eg emotional changes) …
Cognitive computing: concepts, architectures, systems, and applications
VN Gudivada – Handbook of statistics, 2016 – Elsevier
Skip to main content …
A Cognitive Model for Effective E-Learning using Cognitive Architecture-ACT-R
A Kanimozhi, VC Raj – Mass Communicator: International …, 2016 – indianjournals.com
… We use a hybrid Cognitive architecture ACT-R to build an adaptive e-learning environment … All rights reserved Cui Guangzuo, etc. VHALT: A hybrid cognitive architecture of learning and verbal thinking. To be on 7th international conference on cognitive science. Beijing. 2010.8 …
Modeling cognitive parsimony with a demand selection task
O Larue, I Juvina – 2016 – corescholar.libraries.wright.edu
… ACT-R is a hybrid cognitive architecture composed of symbolic and subsymbolic components: the retrieval of a fact (symbol) from declarative memory depends on subsymbolic retrieval equations (pondering the context and history of retrieval of the fact), and, the selection of a …
Toward a Common Computational Framework Across Artificial Intelligence, Cognitive Science, Neuroscience
JE Laird, C Lebiere, PS Rosenbloom – 2017 – cs.uwaterloo.ca
Page 1. A Standard Model of the Mind: Toward a Common Computational Framework Across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics John E. Laird, Christian Lebiere, Paul S. Rosenbloom El A standard …
A Navigation Cognitive System Driven by Hierarchical Spiking Neural Network
W Chen, X Wang, N Zheng, Y Liu… – 2016 Intl IEEE …, 2016 – ieeexplore.ieee.org
… datasets/- kitti/ ). Boosted from the physiological results and computational models of cognitive neuroscience research, we now propose a hybrid cognitive architecture to simulate navigation sensory motion in rodents. Hierarchical …
An Overview of the Multipurpose Enhanced Cognitive Architecture (MECA)
R Gudwin, A Paraense, S de Paula, E Fróes… – Procedia computer …, 2018 – Elsevier
… We’ve got inspiration from hybrid cognitive architectures, like SAL (Syn- thesis of ACT-R and Leabra) [12], which combined both a rule-based architecture (ACT-R) with a neural network one (Leabra) in order to compose a more powerful architecture, and mostly a strong …
Towards a physio-cognitive model of slow-breathing
C Dancy – 2018 – digitalcommons.bucknell.edu
… Computational process models are useful to specify the potential mechanisms that lead to behavioral adaptation during different breathing exercises. We present a physio-cognitive model of slow breathing implemented within a hybrid cognitive architecture, ACT-R/? …
Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities: Case Studies in Micromachining Processes
G Beruvides – 2018 – books.google.com
Page 1. Springer Recognizing Theses Outstanding Ph.D. Research Gerardo Beruvides Artificial Architecture Self-Learning Cognitive with and Self-Optimization Capabilities Case Studies in Micromachining Processes Page 2 …
An Enhanced Intelligent Learning Environment for E-Learner Using Cognitive Architecture-Act-R
A Kanimozhi, R Cyril – International Journal of …, 2015 – pdfs.semanticscholar.org
… demonstrations through effective videos. All these interactive elements should be automated using the methods of ACT – R. ACT-R is a hybrid cognitive architecture that predicts the detailed human behavior. Also In the real …
From artificial cognitive systems and open architectures to cognitive manufacturing systems
S Iarovyi, JLM Lastra, R Haber… – 2015 IEEE 13th …, 2015 – ieeexplore.ieee.org
… Hybrid cognitive architecture that relies on the integration of emergent and cognitivist approaches using evolutionary strategies in proposed in [22] with a cognitive level controlled by artificial immune systems based on genetic algorithms. Bannat et al …
Catalogue of Cognitive Systems Capabilities
D Vernon, M Vincze – … -Robotics Coordination Action for Europe Two, 2017 – eu-robotics.net
… It is a hybrid cognitive architecture and comprises several subsystems, four of which are featured in the four rows of Table 1: openEASE, a web-based shared robot knowledge base; KnowRob, a knowledge processing system for robots; the CRAM Plan language (CPL) and high …
The multipurpose enhanced cognitive architecture (MECA)
R Gudwin, A Paraense, SM de Paula, E Fróes… – Biologically Inspired …, 2017 – Elsevier
… We got inspiration from hybrid cognitive architectures, like SAL (Synthesis of ACT-R and Leabra) (Jilk, Lebiere, O’Reilly, & Anderson, 2008), which combined both a rule-based architecture (ACT-R) with a neural network one (Leabra) in order to compose a more powerful …
The TROCA Project: An autonomous transportation robot controlled by a cognitive architecture
R Gudwin, E Rohmer, A Paraense, E Fróes… – Cognitive Systems …, 2020 – Elsevier
… We got inspiration from hybrid cognitive architectures, like SAL (Synthesis of ACT-R and Leabra) (Jilk, Lebiere, O’Reilly, & Anderson, 2008), which combined both a rule-based architecture (ACT-R) with a neural network one (Leabra) in order to compose a more powerful …
Modeling valuation and core affect in a cognitive architecture: The impact of valence and arousal on memory and decision-making
I Juvina, O Larue, A Hough – Cognitive Systems Research, 2018 – Elsevier
… how). The rules from procedural memory serve the purpose of coordinating the operations of the other modules. ACT-R is a hybrid cognitive architecture including both symbolic and sub-symbolic components. The symbolic …
How Grammar Introduces Asymmetry Into Cognitive Structures: Compositional Semantics, Metaphors, and Schematological Hybrids
D Gil, Y Shen – Frontiers in psychology, 2019 – frontiersin.org
This paper presents a preliminary and tentative formulation of a novel empirical generalization governing the relationship between grammar and cognition across a variety of independent domains. Its point of departure is an abstract distinction between two kinds of cognitive structures …
Symbolic cognitive abilities implementation on the NI-9631 pervasive mobile robot
S Csaba – 2015 6th IEEE International Conference on …, 2015 – ieeexplore.ieee.org
… different implementation strategies. In this way has born the hybrid cognitive architectures solution, exploiting the main advantages of the two mentioned paradigms. The result have tuned into a large scale of integrative cognitive …
Standard model of the mind and perceptual control theory–A theoretical comparison between two layouts for cognitive architectures
AE Huuhtanen – Computer Science, 2019 – helda.helsinki.fi
… In addition to these three classes – symbolic, emergent and hybrid – cognitive architectures can be classified into embodied architectures that model the physical body and its role in cognitive processing and developmental architectures that take inspiration from human cognitive …
Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process
RE Haber, C Juanes, R del Toro, G Beruvides – Computers in Industry, 2015 – Elsevier
… Hybrid cognitive architecture that relies on the integration of emergent and cognitivist approaches using evolutionary strategies is proposed in [1] with a cognitive level controlled by artificial immune systems based on genetic algorithms. Bannat et al …
Using the Soar Cognitive Architecture to Remove Screws From Different Laptop Models
NM DiFilippo, MK Jouaneh – IEEE Transactions on Automation …, 2018 – ieeexplore.ieee.org
Page 1. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, VOL. 16, NO. 2, APRIL 2019 767 Using the Soar Cognitive Architecture to Remove Screws From Different Laptop Models Nicholas M. DiFilippo and Musa K. Jouaneh , Senior Member, IEEE …
Cognitive Reasoning: A Personal View
U Furbach, S Hölldobler, M Ragni, C Schon… – KI-Künstliche …, 2019 – Springer
… human cognition. This is often realized by a symbolic or hybrid cognitive architecture that consists of modules and specific assumptions about the way information is processed, eg, ACT-R [2, 3] or SOAR [63]. Some cognitive …
Introduction to Cognitive Systems
P Érdi, M Bányai – … INTELLIGENCE: Volume 1: Fuzzy Logic, Systems …, 2016 – World Scientific
… 9.2. Architectures: Symbolic, Connectionist, Hybrid 9.2.1. Cognitive Architectures: What? Why? How? 9.2.1.1 … It is both a hybrid cognitive architecture and theoretical framework for understanding and emulating human cognition (Anderson, 2007; Anderson and Bower, 1973) …
Cognitive Reasoning: A Personal View
S Holldobler – 2019 – dspace.ncfu.ru
… human cognition. This is often realized by a symbolic or hybrid cognitive architecture that consists of modules and specific assumptions about the way information is processed, eg, ACT-R [2, 3] or SOAR [63]. Some cognitive …
The case for explicit ethical agents
M Scheutz – AI Magazine, 2017 – wvvw.aaai.org
Page 1. As cognitive systems, that is, systems able to acquire and use knowledge for performing tasks and solving prob- lems, continue to attain more intelligence and auton- omy, new applications are quickly coming within reach …
Computational cognitive models of spatial memory in navigation space: A review
T Madl, K Chen, D Montaldi, R Trappl – Neural Networks, 2015 – Elsevier
Skip to main content …
Cognitive archaeology without behavioral modernity: An eliminativist attempt
D Garofoli – Quaternary international, 2016 – Elsevier
Skip to main content …
A standard model of the mind
JE Laird, C Lebiere, PS Rosenbloom – AI Magazine, 2017 – researchgate.net
Page 1. 1 A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics Abbreviated Title: A Standard Model of the Mind John E. Laird …
A survey of brain inspired technologies for engineering
J Son, AK Mishra – … Recognition Association of South Africa and …, 2016 – ieeexplore.ieee.org
… Thankfully perceptual systems have improved substantially as mentioned in Section III. An example of where a cognitive machine could leverage a hybrid cognitive architecture is in robotic mapping. Traditional mapping techniques such as …
On Virtual Characters that Can See
E Borovikov, S Yershov – Procedia Computer Science, 2016 – Elsevier
… in interactions, it is important to understand the human behavioral traits, capturing different personalities for modeling realistic behavior of a VC as suggested by (Saberi, Bernardet, & DiPaola, 2014), where the authors present a hybrid cognitive architecture that combines the …
Semantic-map-based assistant for creative text generation
AY Shedko – Procedia computer science, 2018 – Elsevier
… Page 5. 450 Andrey Y. Shedko / Procedia Computer Science 123 (2018) 446–450 [12] Samsonovich, AV, Ascoli, GA, De Jong, KA, and Coletti, MA (2006). Integrated hybrid cognitive architecture for a virtual roboscout. In M. Beetz, K. Rajan, M. Thielscher, and RB Rusu (Eds.) …
An Intelligent Decision-Making System for Autonomous Units Based on the Mind Model
Z Kowalczuk, M Czubenko – … Methods & Models in Automation & …, 2018 – ieeexplore.ieee.org
… Informatics of the Gdansk University of Technology. This system can be classified as a hybrid cognitive architecture with its main structure based on the human information processing model, as shown in Fig. 1. As in the case of …
FIART: Adaptive resonance model of feature integration, proto-objects formation and coherence theory of visual attention
A Mishchenko – Biologically Inspired Cognitive Architectures, 2017 – Elsevier
Skip to main content …
Cogent: A Coherence-Driven Cognitive Agent Modeling and Simulation Framework
S Sivaraj – 2018 – etd.auburn.edu
… Soar accepts EPIC perceptual and motor processor messages as input to its working memory and returns motor processor commands to EPIC as output [27]. ACT-R [28] is a hybrid cognitive architecture consisting of symbolic and sub-symbolic processing …
On semantic map as a key component in socially-emotional BICA
AV Samsonovich – Biologically Inspired Cognitive Architectures, 2018 – Elsevier
Skip to main content …
Proceedings of the twenty-fourth annual conference of the cognitive science society
WD Gray, CD Schunn – 2019 – books.google.com
Page 1. Proceedings of the Twenty-Fourth Annuol Conference of the Cognitive Science Society 7–10 August, 2002 George Moson University -Foirfox, Virginid USA | Editors: Woyne D. Groy | Christion D. Schunn Page 2. Proceedings …
A control architecture of Robot-Assisted intervention for children with autism spectrum disorders
Y Feng, Q Jia, W Wei – Journal of Robotics, 2018 – hindawi.com
… Among cognitive architectures, ACT-R (adaptive character of thought rational) has been studied for a long time and has good evaluation. ACT-R system is a hybrid cognitive architecture, which consists of two parts: symbolic system and subsymbolic system …
Accountability in Mobile Service Robots
ÁM Guerrero-Higueras, FJ Rodríguez-Lera… – Workshop of Physical …, 2018 – Springer
… For instance, the HiMoP architecture proposes a hybrid cognitive architecture based on three components: a Hierarchy of needs to define robot drives; a set of Motivational variables connected to robot needs; and a Pool of Finite-State Machines (FSMs) to run robot behaviors …
Virtual actor with social-emotional intelligence
DA Azarnov, AA Chubarov, AV Samsonovich – Procedia computer science, 2018 – Elsevier
… DOI: 10.1142/S1793843009000116. [7] Samsonovich, AV, Ascoli, GA, De Jong, KA, and Coletti, MA (2006). Integrated hybrid cognitive architecture for a virtual roboscout. In M. Beetz, K. Rajan, M. Thielscher, and RB Page 10. Daniil A. Azarnov et al …
Accountability in Mobile Service Robots
F Mart?n-Rico, J Balsa-Comerón… – Advances in Physical …, 2018 – books.google.com
… For instance, the HiMoP architecture proposes a hybrid cognitive architecture based on three components: a Hierarchy of needs to define robot drives; a set of Motivational variables connected to robot needs; and a Pool of Finite-State Machines (FSMs) to run robot behaviors …
Autonomous Intelligent Agents for Team Training
C Myers, J Ball, N Cooke, M Freiman… – IEEE Intelligent …, 2018 – ieeexplore.ieee.org
… We first briefly cover the ACT-R cognitive architecture fol- lowed by the AST’s core cognitive components. Atomic Components of Thought—Rational ACT-R is a hybrid cognitive architecture that includes continuous processes that operate over symbolic knowledge …
Human-Like Neural-Symbolic Computing (Dagstuhl Seminar 17192)
TR Besold, A d’Avila Garcez, LC Lamb – Dagstuhl Reports, 2017 – drops.dagstuhl.de
… symbols hackathon. Hybrid Cognitive Architectures: The development of Cognitive Architectures capable of simulating and explaining aspects of human cognition also remains an important research endeavour. Some cognitive …
Analyzing weak semantic map of word senses
AA Eidlin, MA Eidlina, AV Samsonovich – Procedia computer science, 2018 – Elsevier
… DOI: 10.1142/S1793843009000116. [12] Samsonovich, AV, Ascoli, GA, De Jong, KA, and Coletti, MA (2006). Integrated hybrid cognitive architecture for a virtual roboscout. In M. Beetz, K. Rajan, M. Thielscher, and RB Rusu (Eds.) …
Designing a Creative Assistant of a Designer
ED Karkh, AV Samsonovich – Procedia computer science, 2018 – Elsevier
… DOI: 10.1142/S1793843009000116. [5] Samsonovich, AV, Ascoli, GA, De Jong, KA, and Coletti, MA (2006). Integrated hybrid cognitive architecture for a virtual roboscout. In M. Beetz, K. Rajan, M. Thielscher, and RB Rusu (Eds.) …
Bridging ACT-R and Project Malmo, developing models of behavior in complex environments
DM Schwartz – 2019 – digitalcommons.bucknell.edu
Page 1. Bucknell University Bucknell Digital Commons Honors Theses Student Theses Spring 2019 Bridging ACT-R and Project Malmo, developing models of behavior in complex environments David M. Schwartz Bucknell University, dms061@bucknell.edu …
Recognizing scenes by simulating implied social interaction networks
MA Fields, C Lennon, C Lebiere, MK Martin – International Conference on …, 2015 – Springer
… We thus describe an approach to indoor scene recognition that uses the context provided by inferred social affordances as in- put to a hybrid cognitive architecture (ACT-R) that can represent, apply and learn knowledge relevant to classifying scenes …
Game?XP: Action Games as Experimental Paradigms for Cognitive Science
WD Gray – Topics in cognitive science, 2017 – Wiley Online Library
… 2 Interestingly, after a long hiatus and with no prior knowledge of John’s work, SuperMario was rediscovered as a paradigm by Martin Butz and forms the basis of a new hybrid cognitive architecture that is presented to the world in this issue of topiCS (Schrodt, Kneissler …
Toward a virtual composer assistant
Y Buravenkova, R Yakupov, AV Samsonovich… – Procedia computer …, 2018 – Elsevier
… DOI: 10.1142/S1793843009000116. [8] Samsonovich, AV, Ascoli, GA, De Jong, KA, and Coletti, MA (2006). Integrated hybrid cognitive architecture for a virtual roboscout. In M. Beetz, K. Rajan, M. Thielscher, and RB Rusu (Eds.) …
Comparative study of semantic mapping of images
JA Arinchekhina, V Orlov, AV Samsonovich… – Procedia computer …, 2018 – Elsevier
… DOI: 10.1142/S1793843009000116. [5] Samsonovich, AV, Ascoli, GA, De Jong, KA, and Coletti, MA (2006). Integrated hybrid cognitive architecture for a virtual roboscout. In M. Beetz, K. Rajan, M. Thielscher, and RB Rusu (Eds.) …
A Conceptually Different Approach to the Empirical Test of Alan Turing
I Vorobiev, AV Samsonovich – Procedia computer science, 2018 – Elsevier
… DOI: 10.1142/S1793843009000116. [16] Samsonovich, AV, Ascoli, GA, De Jong, KA, and Coletti, MA (2006). Integrated hybrid cognitive architecture for a virtual roboscout. In M. Beetz, K. Rajan, M. Thielscher, and RB Rusu (Eds.) …
A Study on Representation and Reasoning Techniques of Commonsense Episodic Knowledge: Challenges and Applications
M Gawish, AB Salem – International Journal of Computers, 2018 – pdfs.semanticscholar.org
Page 1. A Study on Representation and Reasoning Techniques of Commonsense Episodic Knowledge: Challenges and Applications MOHAMED GAWISH, ABDEL-BADEEH SALEM Computer Science Department Ain Shams …
Toward a BICA-model-based study of cognition using brain imaging techniques
VL Ushakov, AV Samsonovich – Procedia Computer Science, 2015 – Elsevier
… [36] Samsonovich, AV, Ascoli, GA, De Jong, KA, & Coletti, MA (2006). Integrated hybrid cognitive architecture for a virtual roboscout. In M. Beetz, K. Rajan, M. Thielscher, & RB Rusu (Eds.), Cognitive robotics: Papers from the AAAI workshop, AAAI technical reports WS-06-03 (pp …
KMARF: A Framework for Knowledge Management and Automated Reasoning.
AV Feljan, A Karapantelakis, L Mokrushin… – DIAS/EDUDM …, 2017 – ceur-ws.org
… MIT Press, Cambridge, Mass. ; London, England. [16] J. Licato, R. Sun, and S. Bringsjord. 2014. Structural representation and reasoning in a hybrid cognitive architecture. In 2014 International Joint Conference on Neural Networks (IJCNN). 891–898 …
Schema formalism for the common model of cognition
AV Samsonovich – Biologically inspired cognitive architectures, 2018 – Elsevier
Skip to main content …
Development of Functional Requirements for Cognitive Motivated Machines
JT Graham – 2016 – rave.ohiolink.edu
Page 1. Development of Functional Requirements for Cognitive Motivated Machines A dissertation presented to the faculty of the Russ College of Engineering and Technology of Ohio University In partial fulfillment of the requirements for the degree Doctor of Philosophy …
Human computation and convergence
P Michelucci – Handbook of science and technology convergence, 2016 – Springer
… Though such a hybrid cognitive architecture may be a plausible approach for achieving humanlike collective intelligence, it is conceivable that achieving super- human collective intelligence will require entirely new cognitive architectures that maximize synergistic effects among …
Predicting Learner Performance Using a Paired Associate Task in a Team-Based Learning Environment
O Larue, I Juvina, G Douglas, A Simmons – International Conference on …, 2015 – Springer
… ACT-R has been used to model several tasks (see [20] for a review). Declarative memory stores facts about the environment (know what). The procedural memory, thanks to procedural rules (know how) allows for action selection. ACT-R is a hybrid cognitive architecture …
Mechanical cognitivization: a kinematic system proof of concept
G Avigad, W Li, A Weiss – Adaptive Behavior, 2015 – journals.sagepub.com
The common approach for training robots is to expose them to different environmental scenarios, training their controllers to have the best possible commands wh…
KOGWIS2018: Computational Approaches to Cognitive Science
C Rothkopf, D Balfanz, R Galuske, F Jäkel… – … Conference of the …, 2018 – tu-darmstadt.de
… Ute Schmid (University of Bamberg): Inductive programming: A generic approach to rule learning on the knowl- edge level • Rebecca Albrecht (University of Basel): Is ACT-R enough? The merits and flaws of hybrid cognitive architectures viii Page 10. Tutorials …
Using Probabilistic Context Awareness in a Deliberative Planner System
JG Clavero, FJ Rodriguez, FM Rico… – … Work-Conference on …, 2019 – Springer
… (from [10]). Open image in new window Fig. 3. Fig. 3. The design of our hybrid cognitive architecture integrating a context-awareness component and a planner to take decisions. (from [10]). The framework is enriched with two new contributions …
Mapping of processing elements of hardware-based production systems on networks on chip
MW Numan – 2017 – digital.library.adelaide.edu.au
Page 1. Mapping of Processing Elements of Hardware-based Production Systems on Networks on Chip by Mostafa Wasiuddin Numan B. Sc. (Engineering) in Computer Science and Engineering Shahjalal University of Science and Technology, Bangladesh, 2006 M. Sc …
Modelling of situation awareness with perception, attention, and prior and retrospective awareness
DJ Thilakarathne – Biologically Inspired Cognitive Architectures, 2015 – Elsevier
Skip to main content …
Prof. Clarence W. DE SILVA
M Xia, T Li, Y Zhang – Computer Networks, 2016 – actapress.com
… 483-500. Page 4. Du, Y., De Silva, CW, Liu, D. A multi-agent hybrid cognitive architecture with self-awareness for homecare robot (2014) Proceedings of the 9th International Conference on Computer Science and Education, ICCCSE 2014, art. no. 6926458, pp. 223-228 …
Centaur warfighting: the false choice of humans vs. automation
P Scharre – Temp. Int’l & Comp. LJ, 2016 – HeinOnline
… even catastrophically? No-humans versus machines is a false choice. The best systems will combine human and machine intelligence to create hybrid cognitive architectures that leverage the advantages of each. Hybrid human …
Evaluating representational systems in artificial intelligence
J Licato, Z Zhang – Artificial Intelligence Review, 2017 – Springer
Page 1. Artif Intell Rev https://doi.org/10.1007/s10462-017-9598-7 Evaluating representational systems in artificial intelligence John Licato1 · Zhitian Zhang2 © Springer Science+Business Media BV, part of Springer Nature 2017 …
Knowledge network model with neurocognitive processing capabilities
M Malhotra, TRG Nair – Cognitive Systems Research, 2016 – Elsevier
… However, words are just a representation of concepts and ideas. Different languages would differ in structuring language constructs, and this restricts its application. Another promising work is in the field of hybrid cognitive architecture for modeling human emotions …
Fuzzy-syllogistic systems: a generic model for approximate reasoning
B? Kumova – … Conference on Industrial, Engineering and Other …, 2016 – Springer
… logic (Fig. 4). Learning FSOs is the emergent component of the symbolic FSR. Therefore, the depicted architecture is a hybrid cognitive architecture, in which the FSS serves as a cognitive primitive logic. 5 Conclusion. The FSS …
Consciousness: The Point of View of Process Philosophy and Genetic Structuralism: A Critical Comparison and Some Consequences
F Riffert – Balkan Journal of Philosophy, 2019 – pdcnet.org
… each other, if at all. The majority of approaches, which aim at answering this question, can be characterized as hybrid cognitive architectures (also termed two process or two system theories). Such hybrid cogni- tive architectures …
Bayesian mechanisms in spatial cognition: Towards real-world capable computational cognitive models of spatial memory
T Madl – 2016 – search.proquest.com
Page 1. BAYESIAN MECHANISMS IN SPATIAL COGNITION: TOWARDS REAL-WORLD CAPABLE COMPUTATIONAL COGNITIVE MODELS OF SPATIAL MEMORY A THESIS SUBMITTED TO THE UNIVERSITY OF MANCHESTER …
Army expanding Stryker’lethality’options to include antitank missiles
S Sprenger – Inside the Army, 2015 – JSTOR
… robots A report by the Army Research Lab recommends that the service develop new command-and-control mechanisms to factor in the “hybrid cognitive architecture” of humans and robots operating together on the battlefield …
Re-framing the characteristics of concepts and their relation to learning and cognition in artificial agents
JS Olier, E Barakova, C Regazzoni… – Cognitive Systems …, 2017 – Elsevier
… A prominent contribution along the lines of cognitive modelling comes from Ron Sun and colleagues. They have developed CLARION, a hybrid cognitive architecture aiming at psychologically plausible models of knowledge representation and processing …
A multi-agent framework for cloud-based management of collaborative robots
T Samad, S Iqbal, AW Malik, O Arif… – … Journal of Advanced …, 2018 – journals.sagepub.com
This article presents a cloud-based multi-agent architecture for the intelligent management of aerial robots in a disaster response situation. In a disaster sce…
Human modeling for human–robot collaboration
LM Hiatt, C Narber, E Bekele… – … Journal of Robotics …, 2017 – journals.sagepub.com
Teamwork is best achieved when members of the team understand one another. Human–robot collaboration poses a particular challenge to this goal due to the differ…
Toward a Unified Theory of Learned Trust in Interpersonal and Human-Machine Interactions
I Juvina, MG Collins, O Larue, WG Kennedy… – ACM Transactions on …, 2019 – dl.acm.org
… how). The rules from procedural memory serve the purpose of coordinating the operations of the asynchronous modules. ACT-R is a hybrid cognitive architecture including both symbolic and sub-symbolic components. The …
Modeling trust dynamics in strategic interaction
I Juvina, C Lebiere, C Gonzalez – Journal of Applied Research in Memory …, 2015 – Elsevier
… how). The rules from procedural memory serve the purpose of coordinating the operations of the asynchronous modules. ACT-R is a hybrid cognitive architecture including both symbolic and sub-symbolic components. The …
Visual attention in dynamic environments and its application to playing online games
I Kotseruba – 2016 – yorkspace.library.yorku.ca
Page 1. VISUAL ATTENTION IN DYNAMIC ENVIRONMENTS AND ITS APPLICATION TO PLAYING ONLINE GAMES IULIIA KOTSERUBA A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILLMENT OF THE …
An Introduction to Robophilosophy: Cognition, Intelligence, Autonomy, Consciousness, Conscience and Ethics
SG Tzafestas – 2016 – books.google.com
… Page 19. List of Tables Table 6.1 Sheridan’s scales of degrees of automation Table 7.1 Parametrization of PMC, PFC, and HCMP Table 9.1 Comparison of cognivist, emergent, and hybrid cognitive architectures Page 20. List …
A Sandbox in Which to Learn and Develop Soar Agents
D Lugo – 2017 – apps.dtic.mil
Page 1. A SANDBOX IN WHICH TO LEARN AND DEVELOP SOAR AGENTS THESIS Daniel Lugo, Captain, USAF AFIT-ENG-MS-17-M-047 DEPARTMENT OF THE AIR FORCE AIR UNIVERSITY AIR FORCE INSTITUTE OF TECHNOLOGY Wright-Patterson Air Force Base, Ohio …
Problem-based learning and proprioception
B Eberšek – 2018 – books.google.com
Page 1. Learning and Proprioception Page 2. Problem-Based Learning and Proprioception Page 3. Page 4. Problem-Based Learning and Proprioception By Boris Aberšek Page 5. Problem-Based Learning and Proprioception …
ACT-R 7 reference manual
D Bothell – Retrieved from act-r. psy. cmu. edu/wordpress/wp …, 2017 – act-r.psy.cmu.edu
Page 1. ACT-R 7 Reference Manual Dan Bothell Includes material adapted from the ACT-R 4.0 manual by Christian Lebiere, documentation on the perceptual motor components by Mike Byrne and the Introduction is a shortened …
Tool macgyvering: Tool construction using geometric reasoning
L Nair, J Balloch, S Chernova – arXiv preprint arXiv:1902.03666, 2019 – arxiv.org
… IEEE, 2014, pp. 2502–2508. [14] H. Wicaksono and CSR Sheh, “Towards explainable tool creation by a robot,” in IJCAI-17 Workshop on Explainable AI (XAI), p. 63. [15] D. Choi, P. Langley, and ST To, “Creating and using tools in a hybrid cognitive architecture,” 2018 …
Analogical constructivism: the emergence of reasoning through analogy and action schemas
J Licato – 2015 – search.proquest.com
… This figure previously appeared in Licato, J., Sun, R., & Bringsjord, S. (2014). Structural Representation and Rea- soning in a Hybrid Cognitive Architecture … Structural Representation and Reasoning in a Hybrid Cognitive Architecture …
A biology-inspired attention model with application in robot navigation
Y Du – 2018 – open.library.ubc.ca
Learning, knowledge, research, insight: welcome to the world of UBC Library, the second-largest academic research library in Canada.
Visualizing the tactical ground battlefield in the year 2050: Workshop report
A Kott, D Alberts, A Zalman, P Shakarian, F Maymi… – 2015 – apps.dtic.mil
Page 1. ARL-SR-0327 ? JUNE 2015 US Army Research Laboratory Visualizing the Tactical Ground Battlefield in the Year 2050: Workshop Report by Alexander Kott, David Alberts, Amy Zalman, Paulo Shakarian, Fernando Maymi, Cliff Wang, and Gang Qu …
Unmanned tactical autonomous control and collaboration (utacc) human machine integration measures of performance and measures of effectiveness
TA Kulisz, RE Sharp – 2017 – apps.dtic.mil
… 7 upon developing new C2 concepts and approaches, in particular, developing and fielding an effective hybrid cognitive architecture that leverages the strengths of artificial intelligence and human intelligence to go along with the development of new robotic, communications …
Autonomous weapons and operational risk
P Scharre – 2016 – files.ethz.ch
Page 1. Autonomous Weapons and Operational Risk Ethical Autonomy Project February 2016 Paul Scharre Senior Fellow and Director of the 20YY Future of Warfare Initiative Center for a New American Security Page 2. Autonomous Weapons and Operational Risk 1 …
Scaffolded Minds: Integration and Disintegration
S Varga – 2019 – books.google.com
Page 1. C GD C CD ? Q?) CD O/O Integration and Disintegration Page 2. Page 3. Scaffolded Minds Integration and Disintegration Page 4. Philosophical Psychopathology Jennifer Radden and Jeff Poland, editors Scaffolded …
Unmanned tactical autonomous control and collaboration measures of performance and measures of effectiveness
TD Kirkpatrick, EP Rushing – 2016 – apps.dtic.mil
… Success in this aspect of command and control would depend upon developing new C2 concepts and approaches, in particular, developing and fielding an effective hybrid cognitive architecture that leverages the strengths of artificial intelligence and human intelligence to go …
Predicting Gaits Based on Prior Experience
HF Fahle – 2017 – duo.uio.no
Page 1. Predicting Gaits Based on Prior Experience Using the Monte Carlo Method Hans Fredrik Fahle Thesis submitted for the degree of Master in Robotics and Intelligent Systems Department of Informatics Faculty of mathematics and natural sciences UNIVERSITY OF OSLO …