State Machines & Cognitive Architecture 2018


Notes:

  • Neural state machine

Wikipedia:

References:

See also:

100 Best Cognitive Architecture Videos | 100 Best MATLAB Stateflow Videos | 100 Best State Machine Videos | Cognitive Architecture & Dialog Systems 2018Cognitive Architecture & Virtual Humans 2018 | State Machine & Dialog Systems 2018


Usage of cognitive architectures in the development of industrial applications
A Wendt, S Kollmann, L Siafara… – proceedings of the 10th …, 2018 – publik.tuwien.ac.at
… Due to the provided infrastructure, it can be claimed that if a cognitive architecture is used in a certain complexity of an environment, the implementation should be possible with less effort than using a direct implementation of a state machine …

HiMoP: a three-component architecture to create more human-acceptable social-assistive robots
FJ Rodríguez-Lera, V Matellán-Olivera… – Cognitive …, 2018 – Springer
… architecture to generate more natural behaviors in autonomous robots. The proposed architecture, called HiMoP, is based on three elements: a Hierarchy of needs to define robot drives; a set of Motivational variables connected to robot needs; and a Pool of finite-state machines …

40 years of cognitive architectures: core cognitive abilities and practical applications
I Kotseruba, JK Tsotsos – Artificial Intelligence Review, 2018 – Springer
Page 1. Artificial Intelligence Review https://doi.org/10.1007/s10462-018-9646-y 40 years of cognitive architectures: core cognitive abilities and practical applications … Abstract In this paper we present a broad overview of the last 40years of research on cognitive architectures …

Adding Conscious Aspects and Simulated Emotions through Facial Expressions in Virtual Robot Navigation with Baars-Franklins Cognitive Architecture
D Santos, P Palar, A Oliveira, J Fabro… – 2018 Latin American …, 2018 – ieeexplore.ieee.org
… environment. This approach differs from simple hierarchical state machines because the LIDA model can build relevant associations based on episodic learning mechanism … Neuroscience. Biologically Inspired Cognitive Architectures, 1, 32-43, 2012 …

A Self-Verifying Cognitive Architecture for Robust Bootstrapping of Sensory-Motor Skills via Multipurpose Predictors
E Wieser, G Cheng – IEEE Transactions on Cognitive and …, 2018 – ieeexplore.ieee.org
Page 1. 1 A Self-Verifying Cognitive Architecture for Robust … To this end, we propose a new developmental cognitive architecture that combines multi-purpose predictors and principles of self-verification for the robust bootstrapping of sensory-motor skills …

Cognitive technology and human-machine interaction: The contribution of externalism to the theoretical foundations of machine and cyborg ethics
M Ienca – Annals of the University of Bucharest-Philosophy …, 2018 – ceeol.com
… The cognitive architecture of situated artificial systems is commonly referred to as a ‘subsumption architecture’ (Brooks 1986) … 99 distributed interconnected set of processors. Each processor is specified as a layer of networks of augmented finite state machines (Brooks 1991) …

Development of Driving Intention Prediction System Based on Human Cognitive Mechanism
T Sakuma, S Miura, T Miyashita… – … Conference on Real …, 2018 – ieeexplore.ieee.org
… if-then logic’ which change control mode by conditional blanch or ‘state-flow system’ [9] which change by state-machine and flow … These simulation results shows that the decision-making model which designed from human cognitive architecture well represent the real driver’s …

Extracting State Machines from Feedforward Neural Networks
S Seidel, UM Borghoff – 2018 9th IEEE International …, 2018 – ieeexplore.ieee.org
… state machines from FNNs. In Section IV, we introduce our approach and discuss limitations. Section V concludes our paper. II. RELATED WORK In this section we will introduce the filler/role principle of Smolensky’s Integrated Connectionist/Symbolic Cognitive Architecture that …

Human-Robot Interactive Learning Architecture using Ontologies and Symbol Manipulation
A Angleraud, Q Houbre, V Kyrki… – 2018 27th IEEE …, 2018 – ieeexplore.ieee.org
… In [13] a cognitive architecture is developed to allow the learning of objects and actions … the reasoning layer and the action layer (see Figure 2). The input layer represents the communication between the environment and the robot and is guided by a state machine (see Figure 3 …

Special issue on cognitive robotics
A Bandera, J Dias, M Vincze, LJ Manso – 2018 – Springer
… issue constitutes a collection of original works on these topics, which can be grouped within two research areas: cognitive architectures and semantic … robot drives; a set of motivational variables which are connected to the robot’s needs; and a pool of finite-state machines to run …

A multi-agent-based middleware for the development of complex architectures
A Wendt, S Wilker, M Meisel… – 2018 IEEE 27th …, 2018 – ieeexplore.ieee.org
… and options. The cognitive architecture maintains several state machines, represented by options in the internal state memory and because only one state transition can be made per cycle, the system evaluates each option …

Cognitive remote laboratories for studying the elements of the smart industry
M Poliakov, HD Wuttke, K Henke – 2018 IEEE 9th International …, 2018 – ieeexplore.ieee.org
… For example, the processor of the activity after receiving the data of the structure of the machine turns into the finite state machines (FSM) of the corresponding level … [7] DF Lucentini1, RR Gudwin. ?A Comparison Among Cognitive Architectures: A Theoretical Analysis” …

Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots
SH Kasaei, J Sock, LS Lopes, AM Tomé… – Thirty-Second AAAI …, 2018 – aaai.org
… This paper propose a perceptual cognitive architecture, with the distinctive characteristics of System 1, to provide a proper coupling between perception and action … The Execution Manager works based on a Finite-State-Machine (FSM) paradigm …

Identifying contemplative intensity in cognitive architectures for virtual-agent minds
J Turner – 2018 – summit.sfu.ca
… This interdisciplinary dissertation identifies contemplative intensity in cognitive architectures for virtual-agent minds … approaches towards exploring the artificial psyche and the interactive capabilities of a virtual-agent’s mind (from mechanistic finite-state machines to “deep …

No Representation Without Integration! Better Cognitive Modeling Through Interoperability
W Warwick, C Lebiere, S Rodgers – International Conference on Applied …, 2018 – Springer
… For example, high-fidelity cognitive architectures such as ACT-R and Soar provide detailed accounts of human behavior at a significant complexity cost … decision-making process that doesn’t lend itself to an obvious or useful representation as a flow chart or finite state machine …

Research on the Brain-inspired Cross-modal Neural Cognitive Computing Framework
Y Liu – arXiv preprint arXiv:1805.01385, 2018 – arxiv.org
… 3. Nervous system and cognitive architecture The target semantic in visual scene or auditory scene is the problem of complex computing … However, computational science realizes logic computation of a finite state machine based on Turing machine model …

Request Confirmation Networks in MicroPsi 2
J Bach, K Gallagher – International Conference on Artificial General …, 2018 – Springer
… Cognitive architectures with perceptual grounding require a way to combine symbolic and sub-symbolic operations: planning, communication and reasoning … To achieve this, each individual unit implements a state machine that transitions in response to messages from directly …

SAMI: Interactive, Multi-Sense Robot Architecture
J Calzado, A Lindsay, C Chen… – 2018 IEEE 22nd …, 2018 – ieeexplore.ieee.org
… by a decomposition of robot behaviours in independent and concurrent behaviours, each modeled eg by a finite-state machine augmented by a … G. Trafton, L. Hiatt, A. Harrison, F. Tamborello, S. Khemlani, and A. Schultz, “ACT-R/E: An embodied cognitive architecture for human …

Software Architectures for Human-Machine Interaction Using Natural Language
G Tirone, CHMOPE ARDIZZONE, CHMOPA CHELLA… – 2018 – iris.unipa.it
… 52 4.2 The Cognitive Architecture for NEEL in tweets . . . . . 59 Page 21 … tion processing that can be summarized in the following five main categories (Jurafsky and Martin, 2000) : • State machines • Rule systems • Logic • Probabilistic models • Vector-space models …

Functional plasticity in a recurrent neurodynamic model: from gradual to trigger behavior
YS Prostov, YV Tiumentsev – Procedia computer science, 2018 – Elsevier
… Peer-review under responsibility of the scientific committee of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures … the network as shown in [5, 1]. Also we shown previously how to use this property to implement a finite state machine based on …

Visual Attention Mechanisms Revisited
C Mendoza, P Bachiller, A Bandera… – Workshop of Physical …, 2018 – Springer
… The complex orchestration of these abilities is possible with the CORTEX cognitive architecture [6], in which a hybrid working memory is shared and updated by a set of agents … This new component implements a state machine (Fig …

OntPercept: A Perception Ontology for Robotic Systems
H Azevedo, JPR Belo… – 2018 Latin American …, 2018 – ieeexplore.ieee.org
… events and actions coordinated by finite state machines. On the other hand, unstructured environments require a different strategy especially when involving social robotics. In this context, cognition assumes a preponderant role and the use of cognitive architectures appears to …

Neuromorphic computing for temporal scientific data classification
CD Schuman, TE Potok, SR Young, RM Patton… – 2018 – osti.gov
… Liquid state machines leave the spiking neuromorphic component “untrained”, and rely on training a readout layer using back-propagation or some other gradient descent approach … Biologically Inspired Cognitive Architectures 17 (2016), 49–56 …

Understanding neural network decisions by creating equivalent symbolic AI models
S Seidel, S Schimmler, UM Borghoff – Proceedings of SAI Intelligent …, 2018 – Springer
… 2) and transition symbols in state machines. Open image in new window Fig … In this section, we will introduce the basics of Paul Smolensky’s comparison of connectionist systems with symbolic systems and his resulting Integrated Connectionist/Symbolic Cognitive Architecture …

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 …

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 …

B-Repair: Repairing B-Models Using Machine Learning
CH Cai, J Sun, G Dobbie – 2018 23rd International Conference …, 2018 – ieeexplore.ieee.org
Page 1. B-Repair: Repairing B-Models Using Machine Learning Cheng-Hao Cai Jing Sun Gillian Dobbie Department of Computer Science, University of Auckland, Auckland, New Zealand ccai606@aucklanduni.ac.nz; j.sun@cs.auckland.ac.nz; gill@cs.auckland.ac.nz …

Brain computer interface: A comprehensive survey
N Tiwari, DR Edla, S Dodia, A Bablani – … inspired cognitive architectures, 2018 – Elsevier
… JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Elsevier. Biologically Inspired Cognitive Architectures … Biologically Inspired Cognitive Architectures. Review article. Brain computer interface: A comprehensive survey …

The artificial life route to artificial intelligence: Building embodied, situated agents
L Steels, R Brooks – 2018 – content.taylorfrancis.com
… Brooks programs individual behaviors through finite state machines whereas Smithers and Steels advocate the use of dynamical systems to cou- ple sensors with actuators … This view of cognitive architecture has begun to be taken seriously by cognitive scientists in various ways …

Improving energy consumption of pattern recognition by combining processor-centric and bio-inspired considerations
YR Hettiarachchige, AI Khan, JC Barca – … Inspired Cognitive Architectures, 2018 – Elsevier
… Volume 23, January 2018, Pages 54-63. Biologically Inspired Cognitive Architectures. Research article. Improving energy consumption of pattern recognition by combining processor-centric and bio-inspired considerations … Liquid State Machines …

The Internet of Robotic Things: A review of concept, added value and applications
P Simoens, M Dragone… – International Journal of …, 2018 – journals.sagepub.com
The Internet of Robotic Things is an emerging vision that brings together pervasive sensors and objects with robotic and autonomous systems. This survey examine…

Avionics human-machine interfaces and interactions for manned and unmanned aircraft
Y Lim, A Gardi, R Sabatini, S Ramasamy… – Progress in Aerospace …, 2018 – Elsevier

Skill-based instruction of collaborative robots in industrial settings
C Schou, RS Andersen, D Chrysostomou… – Robotics and Computer …, 2018 – Elsevier
… The central control shown in Fig. 5 contains the core functionalities of SBS. This includes a finite state machine, a task execution engine, and a task programming engine. The state machine keeps track of the current system state with the possible states being: • Idle. • …

Computational interaction
A Oulasvirta, X Bi, A Howes – 2018 – books.google.com
… State machines offer both constructive approaches in rigorously designing and synthesizing interfaces and in analysing and charac- terizing existing interfaces to obtain quantifiable metrics of … Cognitive architecture enables comprehensive predictive models of visual search …

Use of Autobiographical Memory for Enhancing Adaptive HRI in Multi-User Domestic Environment
M Edirisinghe, AGBP Jayasekara – 2018 27th IEEE …, 2018 – ieeexplore.ieee.org
… Update available Fig. 4. Finite state machine of the system … 002 088–002 093. [6] L. Kleinmann and B. Mertsching, “Learning to adapt: Cognitive architecture based on biologically inspired memory,” in 2011 6th IEEE Conference on Industrial Electronics and Applications (ICIEA) …

An Agent-and Role-based Planning Approach for Flexible Automation of Advanced Production Systems
G Weichhart, Å Fast-Berglund… – … on Intelligent Systems …, 2018 – ieeexplore.ieee.org
… S-BPM has a well-defined semantics and a formal basis [21]. A formal implementation of S-BPM exists [28], which is based on Abstract State Machines [29] … C. Cognitive Architectures Models will include rules that are used to construct process models …

Generating symbolic representation from sensor data: Inferring knowledge in robotics competitions
FJ Rodríguez-Lera, F Martín-Rico… – … Robot Systems and …, 2018 – ieeexplore.ieee.org
… Cognitive architectures as such as the Atomic Components of Thought-Rational (ACT-R) [14] or Symbolic and Sub-Symbolic Robotic … Particularly, each subsystem has specific components: the Reactive Subsystem runs Finite State Machines based on BICA [20]; the Deliberative …

MetrIntPair—A Novel Accurate Metric for the Comparison of Two Cooperative Multiagent Systems Intelligence Based on Paired Intelligence Measurements
LB Iantovics, C Rotar, MA Niazi – International Journal of …, 2018 – Wiley Online Library
… They considered some important capabilities that a cognitive architecture should support, which include: organization, performance, and learning, and some theoretical criteria … The proposed measure was defined in Turing machine and finite state machine models of computing …

Spice: a cognitive agent framework for computational crowd simulations in complex environments
PM Kielar, A Borrmann – Autonomous Agents and Multi-Agent Systems, 2018 – Springer
… Similarly, general purpose cognitive architectures are not suitable for agents that can move in spatial domains because they do not consider the profound findings of pedestrian dynamics research … Therefore, we analyzed the body of research on cognitive architectures [70] …

Recurrent neurodynamic model of neuron with variable activation characteristic
YS Prostov, YV Tiumentsev – Biologically inspired cognitive architectures, 2018 – Elsevier
… Volume 25, August 2018, Pages 58-65. Biologically Inspired Cognitive Architectures … solved 2-colorable graph coloring problem, using the hysteresis model of the neuron, as well as in Prostov and Tiumentsev (2015a) a neural network model of the finite state machine was built …

Using Narrative to Enable Longitudinal Human-Robot Interactions
MA Goodrich, JW Crandall, M Oudah… – Proceedings of the …, 2018 – faculty.cs.byu.edu
… Another cognitive architecture seeks to connect “episodic memory and procedures [akin to Con- way’s conceptual knowledge] can be redefined in terms of narrative structures” [15] … The algorithm S# [5] creates an internal memory of the interac- tion using a finite-state machine …

How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task
D Fischer, S Mostaghim, L Albantakis – Proceedings of the Genetic and …, 2018 – dl.acm.org
… There are several common types of such models: the brain could simply be a manually coded function, an ANN [24], a simple nite state machine [15], or a MB [6]. In our case, the focus is on elucidating the animat’s behavior while observing its internal and external states …

From computer metaphor to computational modeling: the evolution of computationalism
M Mi?kowski – Minds and Machines, 2018 – Springer
… In other words, he has claimed that finite-state machines (FSM) cannot be semantically interpretable; however, this argument has been rebutted … Thus, what is more crucial to flexibility is the kind of cognitive architecture rather than the ability to implement universal computation …

Goal-Reasoning in StarCraft: Brood War through Multilevel Planning
M Mart?nez, N Luis – hallsi.ugr.es
… for reasoning or AP. SOAR [12] is a cognitive architecture that implements state abstractions, planning and multi-tasking based on Finite State Machines (FMS). This architecture was developed using two layers. First layer is …

Towards lifelong assistive robotics: A tight coupling between object perception and manipulation
SH Kasaei, M Oliveira, GH Lim, LS Lopes, AM Tomé – Neurocomputing, 2018 – Elsevier
… The goal of Grasp Planning is to extract a grasp pose (ie a gripper pose relative to the object) either from above or from the side of the object, using global characteristics of the object. The Execution Manager works based on a Finite-State-Machine (FSM) paradigm …

Conscious enactive computation
D Estrada – arXiv preprint arXiv:1812.02578, 2018 – arxiv.org
… In Turing’s model, the program takes the form of a finite state machine (FSM) … Topoi 36(3), 365–375 (2017) 54. Wells, A.: Turing’s analysis of computation and theories of cognitive architecture. Cognitive Science 22(3), 269–294 (1998)

Visualising Autonomous Warehouse Data Streams Through User-Centered Design
R Nayyar – 2018 – diva-portal.org
… A state machine, Redux [21], was also introduced to capture the state after every change in the data as an immutable object … In terms of knowledge sharing between different agents, Soar, a general cognitive architecture, has been a topic of research since the past 30 years …

“How do humans make sense?” multiscale dynamics and emergent meaning
R Dale, CT Kello – New Ideas in Psychology, 2018 – Elsevier
Skip to main content Skip to article …

Self-Organized Linguistic Systems: From traditional AI to bottom-up generative processes
D Gonzalez-Rodriguez, JR Hernandez-Carrion – Futures, 2018 – Elsevier
… a tool for helping in narrow Artificial Intelligence, but also to be used in the implementation of cognitive architectures for the … either sub-symbolic representations or symbolic/semantic relations in real time, but also learning algorithms, atom-based state-machines and spreading …

Hierarchical Fusion Evolving Spiking Neural Network for Adaptive Learning
O Al Zoubi, A Mayeli, M Awad… – 2018 IEEE 17th …, 2018 – ieeexplore.ieee.org
… The goal of merging different cognitive architecture is to improve the flexibility of the algorithm to work in asynchronous and spatially distributed form … Anytime multipurpose emotion recognition from eeg data using a liquid state machine based framework …

A personalized and platform-independent behavior control system for social robots in therapy: development and applications
HL Cao, G Van de Perre, J Kennedy… – … on Cognitive and …, 2018 – ieeexplore.ieee.org
… These approaches include event-driven [35], [36], homeostasis [23], [37] [38], finite- state machine [5] [39], neural networks [40] [41], etc. These architectures enable the robots to generate two main types of behaviors: tasked-based behaviors and social behaviors …

Hobbit: providing fall detection and prevention for the elderly in the real world
M Bajones, D Fischinger, A Weiss, D Wolf… – Journal of …, 2018 – hindawi.com
… However, research on planners and cognitive architectures still faces the challenge of enabling flexibility and adaptation towards different users … The building blocks of the behavior coordination system are based on a set of hierarchical state-machines implemented using the …

Similarity-Based Reasoning, Raven’s Matrices, and General Intelligence.
CS Mekik, R Sun, DY Dai – IJCAI, 2018 – pdfs.semanticscholar.org
… Graded State Machines: The Representation of Temporal Contingencies in Simple Recurrent Networks. Machine Learning, 7:161–193, 1991 … Anatomy of the Mind: Exploring Psychological Mechanisms and Processes with the Clarion Cognitive Architecture …

Artificial Intelligence and Virtual Worlds–Toward Human-Level AI Agents
VM Petrovi? – IEEE Access, 2018 – ieeexplore.ieee.org
… At this point, one should notice that utilization of advanced AI does not imply that standard algorithms such as state machines are unnecessary … It is also important to mention SOAR cognitive architecture [47], which was used for extensive academic research on AI- based virtual …

Toward self-aware robots
R Chatila, E Renaudo, M Andries, RO Chavez-Garcia… – 2018 – hal.archives-ouvertes.fr
… The paper develops along five issues: agent perception and interaction with the environment; learning actions; agent interaction with other agents—specifically humans; decision-making; and the cognitive architecture integrating these capacities …

Netcentric system of systems engineering with DEVS unified process
S Mittal, JLR Martín – 2018 – content.taylorfrancis.com
… During his doctoral study, Dr. Mittal developed many transformations for sources like XML-based state machines, structured natural language message-based sys- tems, the Department of Defense Architecture Framework (DoDAF) (Version 1.0), Business Process Modeling …

A Situated Dialogue System for Learning Structural Concepts in Blocks World
I Perera, J Allen, CM Teng, L Galescu – Proceedings of the 19th Annual …, 2018 – aclweb.org
… While this problem has been explored in the context of cognitive architectures (Foundalis, 2006) and reinforcement learning (Ramon et al., 2007 … Towards this end we focus on finite state machine language models given the nature of assertions our system understands, but we …

DANNA 2: Dynamic adaptive neural network arrays
JP Mitchell, ME Dean, GR Bruer, JS Plank… – Proceedings of the …, 2018 – dl.acm.org
… 2016. DANNA: A Neuromorphic Software Ecosystem. Biologically Inspired Cognitive Architectures 9 (July 2016), 49–56. [5] Jun Haeng Lee, Tobi Delbruck, and Michael Pfeiffer. 2016 … 2010. Improving liquid state machines through iterative refinement of the reservoir …

Agent-based Computing in Java
M SYMONDS – 2018 – scholarworks.sjsu.edu
… 5 1.3.3 Cognitive Architectures … 27 2.4.3 Messaging 27 2.5 State Machines, The Yellow Pages, and Mobility: The Sugar Con- sumer Agent 30 2.5.1 Creating a State Machine …

UWS Academic Portal
J Calzado, A Lindsay, C Chen, G Samuels… – myresearchspace.uws.ac.uk
… by a decomposition of robot behaviours in independent and concurrent behaviours, each modeled eg by a finite-state machine augmented by a … G. Trafton, L. Hiatt, A. Harrison, F. Tamborello, S. Khemlani, and A. Schultz, “ACT-R/E: An embodied cognitive architecture for human …

Modelling human behaviour using behaviour trees
PI Evensen, H Stien, DH Bentsen – 2018 – ffi.no
… Finite state machines (FSMs) have long been the most dominant technique for creating behaviour models for computer generated forces (CGF) in military … Agent architectures that more specially attempt to model human cognition are referred to as cognitive architectures …

Slime mould: the fundamental mechanisms of biological cognition
J Vallverdú, O Castro, R Mayne, M Talanov, M Levin… – Biosystems, 2018 – Elsevier
… In spite of their very simple cognitive architecture, slime moulds are able to perform an incredible list of cognitive tasks as well as to be creative (Adamatzky et al., 2013), considering this skill as an emergent property of their genomic structure, as it works for other living systems …

MetrIntSimil—An accurate and robust metric for comparison of similarity in intelligence of any number of cooperative multiagent systems
L Iantovics, M Dehmer, F Emmert-Streib – Symmetry, 2018 – mdpi.com
… They consider the following capabilities that a cognitive architecture should support: organization, performance, learning and some theoretical criteria for making an evaluation at … The applied measure is defined in Turing machine and finite state machine models of computing …

International Journal of Intelligent Computing and Cybernetics
M Molina, RA Suarez-Fernandez, C Sampedro… – researchgate.net
… environments. There are other methods with more flexible representations (eg task trees, finite-state machines (FSMs), rule bases, Petri nets, etc.) that have been used in other robotic systems, different from aerial systems. But …

Potential Uses in Depth
MK Bergman – A Knowledge Representation Practionary, 2018 – Springer
… Automata theory, the basis of finite-state machines, is also closely related in that an automaton is a finite representation of a formal language that may be an infinite set … I also like their approach using a pushdown automaton, which is more capable than a finite-state machine …

Applications of P Systems
M Gheorghe, A P?un, S Verlan, G Zhang – Unconventional Computing: A …, 2018 – Springer
… Some of the most widely used computational models are finite state machines, Turing machines, formal gram- mars, Boolean networks, Petri nets, cellular automata, and process calculi … The model is a state machine, and the specifica- tion is given by a temporal logic formula …

Hierarchical reinforcement learning for zero-shot generalization with subtask dependencies
S Sohn, J Oh, H Lee – Advances in Neural Information Processing …, 2018 – papers.nips.cc
… Programmable Agent The idea of learning to execute a given program using RL was introduced by programmable hierarchies of abstract machines (PHAMs) [6–8]. PHAMs specify a partial policy using a set of hierarchical finite state machines, and the agent learns to execute …

Sighted MicroPsi Agents in Minecraft: Object Recognition Using Neural Transfer Learning and Automated Dataset Collection
DA Meulenbelt – 2018 – dspace.library.uu.nl
… Although previous research has investigated how cognitive architectures could be interfaced with virtual worlds, it is not yet known if and how we could build an interface with a virtual world that meets the characteristics for suitable Arti cial General Intelligence (AGI) research …

Modular design of a factor-graph-based inference engine on a System-On-Chip (SoC)
I Sugiarto, J Conradt – Microprocessors and Microsystems, 2018 – Elsevier
… The encoding uses neurally inspired technique to support cognitive architecture. • Implemented … substrates. His method was implemented using Liquid-State Machines (LSMs) and he applied it to Forney-style factor graphs …

Tractability and the computational mind
R Verbrugge, J Szymanik – 2018 – philpapers.org
… from the grammatical research. Instead of using machine models (such as finite state machines, push-down automata or Turing machines generating the language), one can specify grammars in terms of general constraints …

CaFPGA: An automatic generation model for CNN accelerator
J Xu, Z Liu, J Jiang, Y Dou, S Li – Microprocessors and Microsystems, 2018 – Elsevier
… In the present study, the convolutional IPs are implemented. The complete convolutional IP is shown in Fig. 7, and it includes five modules, namely, input buffer, intermediate buffer, parameter-configure module, finite-state machine (FSM), and computation array …

Tractability and the computational mind
J Szymanik, R Verbrugge – The Routledge Handbook of the …, 2018 – rinekeverbrugge.nl
… from the grammatical research. Instead of using machine models (such as finite state machines, push-down automata or Turing machines generating the language), one can specify grammars in terms of general constraints …

Visual attention and object naming in humanoid robots using a bio-inspired spiking neural network
DH García, S Adams, A Rast, T Wennekers… – Robotics and …, 2018 – Elsevier
… stimulus. The work of de Azambuja and colleagues [28] use Liquid State Machines (LSM) to learn trajectories with the BAXTER robot. Gamez et al. [29] present a spiking neural interface for the iCub robot, “iSpike”. Barros et al …

Algorithmic opacity: a narrative revue
O Litvinski – 2018 – archipel.uqam.ca
… Among the examples of the first type, Gurevich (2012, 2013, 2015) tries to define algorithms based on the mathematical concept of “abstract state machines.” Scholars investigating the second type derive their definitions from the basic mathematical notion of recursion …

Improving spiking dynamical networks: Accurate delays, higher-order synapses, and time cells
AR Voelker, C Eliasmith – Neural computation, 2018 – MIT Press
… dynamical network. Reservoir computing approaches, such as liquid state machines (Maass, Natschläger, & Markram, 2002) and echo state networks (Jaeger, 2001), may be used to approximate a delay line. However, since …

Maintaining accurate web usage models using updates from activity diagrams
G Karami, J Tian – Information and Software Technology, 2018 – Elsevier
… It consists of a set of operations that the application is designed to perform and their probabilities of occurrence. Several variations of OP based on partitions, tree structures, finite state machines, and Markov chains are commonly used …

Simulation-Based Usability Evaluation of Spoken and Multimodal Dialogue Systems
S Hillmann, S Hillmann, Baumann – 2018 – Springer
Page 1. T-Labs Series in Telecommunication Services Stefan Hillmann Simulation-Based Usability Evaluation of Spoken and Multimodal Dialogue Systems Page 2. T-Labs Series in Telecommunication Services Series editors …

Computational Methods for Socio-Computer Interaction
W FU, M GAO, H DO – Computational Interaction, 2018 – books.google.com
Page 408. 15 Computational Methods for Socio-Computer Interaction WAI-TAT FU, MINCKUN GAO, HYO JIN DO 15.1 Introduction In the last two decades or so, various forms of online social media, forums, and networking platforms …

Answer set programming and agents
A Dyoub, S Costantini, G De Gasperis – The Knowledge Engineering …, 2018 – cambridge.org
… layers. We can add to these categories the cognitive architectures, which are based on the results of cognitive science, and aims at summarizing the results of cognitive psychology in a comprehensive computer model. Below …

Visual attention and object naming in humanoid robots using a bio-inspired spiking neural network
D Hernández García, S Adams, A Rast, T Wennekers… – 2018 – pearl.plymouth.ac.uk
… stimulus. The work of de Azambuja and colleagues [28] use Liq- uid State Machines (LSM) to learn trajectories with the BAXTER robot. Gamez et al. [29] present a spiking neural interface for the iCub robot, ”iSpike”. Barros et al …

Multitask reinforcement learning for zero-shot generalization with subtask dependencies
S Sohn, J Oh, H Lee – arXiv preprint arXiv:1807.07665, 2018 – arxiv.org
… Programmable Agent The idea of learning to execute a given program using RL was introduced by programmable hierarchies of abstract machines (PHAMs) [6–8]. PHAMs specify a partial policy using a set of hierarchical finite state machines, and the agent learns to execute …

Survey of evolutionary computation methods in social agent-based modeling studies
P Revay, C Cioffi-Revilla – Journal of Computational Social Science, 2018 – Springer
Agent-based modeling is a well-established discipline today with a rich and vibrant research community. The field of evolutionary computation (EC) is also well recognized within the larger family of…

Collaborative Adaptive Autonomous Agents.
M Frasheri – AAMAS, 2018 – mdh.diva-portal.org
… and improve their performance. To this end, an agent architecture is pro- posed which models the operation of an agent as a finite state machine, with different states capturing different aspects of operation. The criteria on the …

Bringing cognition to multilayer transport networks
A Pérez Vela – 2018 – upcommons.upc.edu
… 4. Cognitive Architecture. A monitoring and data analytics (MDA) architecture is devised aiming to reduce the amount of data to be conveyed and to minimize anomaly and degradation detection times … Fig. 10-6. Traffic anomaly detection finite state machine …

Human-Robot Interaction
Y Jia – downloads.hindawi.com
… The CARAI has been developed based on a famous cognitive architecture called Adaptive Character of Thought-Rational (ACT-R) and some traditional intervention protocols for children with autism (DTT and DIR/Floortime) …

Modeling the behavior of a hierarchy of command agents with context-based reasoning
RA Løvlid, S Bruvoll, K Brathen… – The Journal of …, 2018 – journals.sagepub.com
Context-based reasoning is a paradigm for modeling agent behavior that is based on the idea that humans only use a small portion of their knowledge at any given…

Multidisciplinary and historical perspectives for developing intelligent and resource-efficient systems
A Mämmelä, J Riekki, A Kotelba, A Anttonen – IEEE Access, 2018 – ieeexplore.ieee.org
… The first cognitive architecture was the General Problem Solver (GPS) by Newell and Simon (1976). The most successful and widely applied cognitive architecture is the Adaptive Control of Thought – Rational (ACT-R) architecture by Anderson (1976), which relies on symbolic …

Extending Systems Architecting for Human Considerations through Model-Based Systems Engineering
DW Orellana – 2018 – search.proquest.com
… 4.2.4.11 Speech Operation …..95 4.2.4.12 Cognitive Operation …..95 4.2.4.13 Human Agent State Machine …..95 4.2.4.14 Stressors …..95 …

Engineering Computational Emotion-A Reference Model for Emotion in Artificial Systems
MG Sánchez-Escribano, SpringerLink (Online service) – 2018 – Springer
… The architecture is made up of modules placed in layers, together with augmented finite state machines. Source Nwana [187]…. 47 Fig. 3.9 4D/RCS reference model architecture: Real-time control system (RCS) is a cognitive architecture designed to enable any …

3 Power systems in transition
W Kröger, C Nan – Energy as a Sociotechnical Problem: An …, 2018 – books.google.com
… The modules are then combined in a distributed simulation platform, ie, ABM with other modeling and simulation techniques, such as CNT, SD, Monte Carlo (MC) simulation, fuzzy logic (FL), and finite state machines (FSM) …

Modeling Battle Drills for Computer-Generated Forces using Behavior Trees
PI Evensen, H Stien, DH Bentsen – Proceedings of the Interservice … – researchgate.net
… Finite state machines (FSMs) have long been the most dominant technique for creating behavior models for computer generated … Introduction to Cognitive Architectures for Modeling and Simulation (Tutorial Slides), Proceedings of the Interservice/Industry Training, Simulation …

Investigating Perceptual And Biological Feedbacks In Human Robot Interaction
IL TUTOR, CO TUTOR – iris.unipa.it
… 56 4.3 The robotic State Machine and the transition table … induced by Human Bio-feedback Brain Features in a Musical Experience. In Conference on Biological Inspired Cognitive Architecture.. In press. 5. Sorbello R., Tramonte S., Giardina M., La Bella V., Spataro R., Allison …

Blockchain-based renewable energy exchange management system
T Górski, J Bednarski, Z Chaczko – 2018 26th International …, 2018 – ieeexplore.ieee.org
… R.: The All-Pervasiveness of the Blockchain Technology, 8th Annual International Conference on Biolog- ically Inspired Cognitive Architectures, BICA 2017 … Review, 34 550–561 (2018) [21] Schneider, FB: Implementing fault-tolerant services using the state machine approach: a …

Toolflows for mapping convolutional neural networks on FPGAs: A survey and future directions
SI Venieris, A Kouris, CS Bouganis – ACM Computing Surveys (CSUR), 2018 – dl.acm.org
… the on-chip memory. Moreover, a dynamic, run-time control approach is adopted by means of dedicated finite state machines that dynamically control the operation of each time-shared block. DeepBurning’s dynamic dataflow …

Design of multi-agent robotic infrastructures for the exploration of complex and non-structured environments
L Panebianco, DID Scaradozzi, F Piazza – iris.univpm.it
… 2.2.3.4 Layered/hybrid architectures …..32 2.2.3.5 Cognitive Architectures …..43 … Figure 16: Augmented Finite State Machine from [18] ….27 …

Associative Fine-Tuning of Biologically Inspired Active Neuro-Associative Knowledge Graphs
A Horzyk, JA Starzyk – 2018 IEEE Symposium Series on …, 2018 – ieeexplore.ieee.org
… We distinguish linear models liNe Hidden MarNov Models or linear autoencoders, and nonYlinear models, eg recurrent neural networNs (RNN), longY short term memories (LSTM), finite state machines (FSM), longYterm memories (LTM), associative memories (AM), and …

Whole-Body Affordances for Humanoid Robots: A Computational Approach
P Kaiser – 2018 – books.google.com
… In the proposed cognitive architecture, affordances are seen as explicit preconditions for the instantiation of OACs. This approach provides a functional link between detected affordances, action execution skills and symbolic planning domains …

Computer Vision and Robotics in Perioperative Process
X Yi, T Huan, M Ying – 2018 – books.google.com
Page 1. Computer Vision and Robotics in Perioperative Process Series in Computer W is iºn – Wºl . E Huan Tan Ying Mao Lynn-Ann DeRose . \º WOrld Scientific Page 2. Computer Vision and Robotics in Perioperative Process Page 3 …

A two teraflop swarm
S Jones, M Studley, S Hauert… – Frontiers in Robotics and …, 2018 – frontiersin.org
We introduce the Xpuck swarm, a research platform with an aggregate raw processing power inexcess of two teraflops. The swarm uses 16 e-puck robots augmented with custom hardware thatuses the substantial CPU and GPU processing power available from modern mobile system …

From Sequence to Attention
K Korrel – 2018 – esc.fnwi.uva.nl
… Such an infinite generative or understanding process can of course also prove useful in other domains. Given a pen and long enough paper, any human (or a finite state machine for that matter) could solve the binary addition of two arbitrarily long sequence …

A Model of Computational Emotion
MG Sánchez-Escribano – … Computational Emotion-A Reference Model for …, 2018 – Springer
… The model-based approach to cognition in ASys Project (together with the accepted perspective of cognitive approach of emotion), results in the conceptualization of AGSys as a cognitive agent which implements a cognitive architecture. As previously justified in Chap …

Strict locality and phonological maps
J Chandlee, J Heinz – Linguistic Inquiry, 2018 – MIT Press
Create a new account. Email. Returning user. Can’t sign in? Forgot your password? Enter your email address below and we will send you the reset instructions. Email. Cancel. If the address matches an existing account you will …

Compositional morphology through deep learning
E Vylomova – 2018 – minerva-access.unimelb.edu.au
… 151 6.1.3 Morphological models for Machine Translation . . . . . 152 Bibliography 155 Page 18. Page 19. List of Figures 2.1 An example of the NOMLEX data entry for promotion. . . . . 40 2.2 Finite-State Machines . . . . . 46 …

Spatial Representation for Planning and Executing Robot Behaviors in Complex Environments
F Riccio – 2018 – iris.uniroma1.it
Page 1. Spatial Representation for Planning and Executing Robot Behaviors in Complex Environments Francesco Riccio ID number 1572104 Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Engineering in Computer Science …

Agent And Component Object Framework For Concept Design Modeling Of Mobile Cyber Physical Systems
CG Adams – 2018 – apps.dtic.mil
Page 1. NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA DISSERTATION Approved for public release. Distribution is unlimited. AGENT AND COMPONENT OBJECT FRAMEWORK FOR CONCEPT DESIGN MODELING …

Teaching Robots Social Autonomy From In Situ Human Supervision
E Senft – 2018 – pearl.plymouth.ac.uk
Page 1. This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with its author and that no quotation from the thesis and no information derived from …

Hexagonal grid fields optimally encode transitions in spatiotemporal sequences
N Waniek – Neural computation, 2018 – MIT Press
Create a new account. Email. Returning user. Can’t sign in? Forgot your password? Enter your email address below and we will send you the reset instructions. Email. Cancel. If the address matches an existing account you will …

On Human Robot Interaction using Multiple Modes
N Baranwal – arXiv preprint arXiv:1811.07206, 2018 – arxiv.org
Page 1. ON HUMAN ROBOT INTERACTION USING MULTIPLE MODES DISSERTATION Submitted by Neha Baranwal In Partial Fulfillment of the Requirements For the Degree of DOCTOR OF PHILOSOPHY Under the Supervision of Prof. GC Nandi …

Ontology-Based Knowledge Representation for Increased Skill Reusability in Industrial Robots
EA Topp, M Stenmark, A Ganslandt… – 2018 IEEE/RSJ …, 2018 – ieeexplore.ieee.org
… Coordination in turn relates the behaviour implementing the skill (expressed, eg, as a finite state machine, or as a piece of native robot code) to the environment, synchronizing it with the incoming … ORO, a knowledge management platform for cognitive architectures in robotics …

Simulating Plausible Movement-based Interactions Between Agents and Avatars Using Biomechanical Principles and Psychological Factors
S Narang – 2018 – search.proquest.com
Simulating Plausible Movement-based Interactions Between Agents and Avatars Using Biomechanical Principles and Psychological Factors. Abstract. Many Virtual Reality-based applications enable the user to actively participate …

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