Fuzzy Logic & Dialog Systems

Notes:

Fuzzy logic is a mathematical system that allows for the representation and manipulation of uncertainty in logic. It is based on the idea that logical statements can have a truth value that is not necessarily true or false, but can fall somewhere in between on a continuum of truth values. This allows for more flexible and nuanced reasoning than traditional binary logic, which only allows for statements to be true or false.

Fuzzy logic is used in dialog systems to improve the naturalness and flexibility of the system’s responses. For example, a dialog system that uses fuzzy logic might be able to understand and respond to vague or imprecise user input, such as “I’m feeling pretty good today” or “I’m looking for a restaurant that’s not too expensive.” This can help the system have more natural and human-like conversations with users.

Resources:

Wikipedia:

References:

See also:

100 Best Fuzzy Logic Videos

Biotechnical monitoring system for determining person’s health state in polluted environment using hybrid decisive rules
RT Al-Kasasbeh, N Korenevskiy… – International …, 2019 – inderscienceonline.com
… appointments showed that in the conditions of limited data and insufficient statistics at a choice like the decisive rules united in their collectives, it is convenient to use consecutive sequential analysis of dialogue systems of recognition of images and fuzzy logic of decision …

A fuzzy logic approach to reliable real-time recognition of facial emotions
K Bahreini, W van der Vegt, W Westera – Multimedia Tools and …, 2019 – Springer
… The combination of posture and conversational dialogue systems reveals a modest amount of redundancy among them [17] … transform [36], 4) discrete cosine transform [37], 5) Gabor filter [56], 6) edge and skin detection [32], 7) facial contour [26], and 8) fuzzy logic model [22] …

Graphic Adventure videogame using Fuzzy Logic algorithms to set the path of the story
M Monzonís Franch – 2019 – repositori.uji.es
… 40h • Implementation of game characters, their routine and combat AI -28h • Implementation of Fuzzy Logic for the narrative system -20h • Implementation of the dialog system and events driven by the player actions -24h • Finalize the actions and endings of the game -20h …

Human Hedge Perception–and its Application in Fuzzy Semantic Similarity Measures
N Adel, K Crockett, A Crispin… – … on Fuzzy Systems …, 2019 – ieeexplore.ieee.org
… Current work is incorporating FUSE into dialogue systems, which will allow a wider range of natural language dialogue to be explored and tested in real-world dialogue utterance exchanges … In: Chen G., Ying M., Cai KY. (eds) Fuzzy Logic and Soft Computing.” The International …

A data-driven approach to spoken dialog segmentation
D Griol, JM Molina, A Sanchis, Z Callejas – Neurocomputing, 2020 – Elsevier
… Fig. 1. Main modules of a spoken dialog system. Different proposals have … system turns. 4. Demonstrations with practical dialog systems. As a proof-of-concept we have implemented our proposal in three application domains. We …

An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems
L Rizzo, L Longo – Expert Systems with Applications, 2020 – Elsevier
… Previous article in issue; Next article in issue. Keywords. Defeasible argumentation. Argumentation theory. Explainable artificial intelligence. Non-monotonic reasoning. Fuzzy logic. Expert systems. Mental workload. 1. Introduction …

Adaptive neuro-fuzzy inference system for evaluating dysarthric automatic speech recognition (ASR) systems: a case study on MVML-based ASR
A Asemi, SSB Salim, SR Shahamiri, A Asemi… – Soft Computing, 2019 – Springer
… Here, the adaptive neuro-fuzzy inference system (ANFIS) was employed for ASR performance evaluation in which it applies an ANN to estimate the fuzzy logic membership function parameters of the fuzzy inference system (FIS) …

End-to-End Memory Networks: A Survey
R Jafari, S Razvarz, A Gegov – Science and Information Conference, 2020 – Springer
… For example, Fuzzy logic systems are broadly utilized to model the systems characterizing vague and unreliable information [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37]. In artificial intelligence area [38, 39], end-to-end dialog systems have been …

A Proposal for an Explainable Fuzzy-based Deep Learning System for Skin Cancer Prediction
S Lima, L Terán, E Portmann – 2020 Seventh International …, 2020 – ieeexplore.ieee.org
… 1–9, 2007. [39] ——, “A dialogue system specification for explanation,” Synthese, vol … 8, p. 338–353, 1965. [44] C. Mencar and JM Alonso, “Paving the way to explainable artificial intelligence with fuzzy modeling,” in International Workshop on Fuzzy Logic and Applications …

Assessing the Reviving Risks while using the Manufacturing Resource Planning system at agribusiness enterprises
O Ponochovna, V Piliavskyi, P Makarenko – 2019 – dspace.pdaa.edu.ua
… This explains why we need to understand how to develop, deploy and monitoring our own dialog system based on “Deep … Yuliia Pomanysochka, Yuriy Kondratenko and Ievgen Sidenko Noise Filtration in the Digital Images Using Fuzzy Sets and Fuzzy Logic PRESENTER: Yuliia …

Explainable Artificial Intelligence for Kids
JM Alonso – … and the European Society for Fuzzy Logic and …, 2019 – atlantis-press.com
… 134 Page 2. fuzzy systems, since interpretability is deeply rooted in the fundamentals of Fuzzy Logic [4] … 3.3 The interactive interface layer We have implemented a simple multi-modal dialogue system for kids. Neither NLP nor NLG techniques are applied in Scratch …

Design and Analysis of a Human-Machine Interaction System for Researching Human’s Dynamic Emotion
X Sun, Z Pei, C Zhang, G Li… – IEEE Transactions on …, 2019 – ieeexplore.ieee.org
… Today’s dialog systems are becoming increasingly more intelligent and can be applied to complex tasks, such as health-care, security, and intelligent … El-Nasr and Skubic [34] proposed a fuzzy logic model that captures the inherent uncertainty of emotions; the model is used to …

A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models
P Vadiraja, MA Chattha – arXiv preprint arXiv:2008.05972, 2020 – arxiv.org
… Because of the usage of the Fuzzy Time Series that in-turn uses fuzzy logic, any kind of expert knowledge can be encoded in … Long et al.[15] presents a conversational dialog system that considers external knowledge related to the given query before composing a final response …

Computing with Words Through Interval Type-2 Fuzzy Sets for Decision Making Environment
R Mishra, SK Barnwal, S Malviya, V Singh… – … on Intelligent Human …, 2019 – Springer
… Keywords. Computing with words Interval Type 2 Fuzzy sets Perceptual computing Natural language understanding Dialogue systems. Download conference paper PDF. 1 Introduction … References. 1. Zadeh, LA: Fuzzy logic = computing with words …

Research on Fuzzy Adaptive Intelligent Decision-making in Complex Environment
X Sun, Q Li, C Sun – Journal of Physics: Conference Series, 2019 – iopscience.iop.org
… The application of expert system technology in management often uses static knowledge base and man-machine dialogue system for decision … Fuzzy logic based game theory applications in multi-criteria decision making process[J]. Journal of Intelligent & Fuzzy Systems, 2013 …

Artificial Intelligence in Automated System for Web-Interfaces Visual Testing.
K Ivanova, GV Kondratenko, IV Sidenko… – COLINS, 2020 – ceur-ws.org
… 22. Pomanysochka, Y., Kondratenko, Y., Sidenko, I.: Noise filtration in the digital images us- ing fuzzy sets and fuzzy logic … 0305-0306. 24. Kushneryk, P., Kondratenko, Y., Sidenko, I.: Intelligent dialogue system based on deep learning technology …

Natural Language Processing: Challenges and Future Directions
Z Kaddari, Y Mellah, J Berrich, MG Belkasmi… – … Conference on Artificial …, 2020 – Springer
… to overcome this issue like sensitivity analyses (SA) [5, 36], layer-wise relevance propagation (LRP) [4], embedding of fuzzy logic systems [23 … the ability to detect and interpret emotions expressed via language, this issue is more important in dialogue systems, where responding …

Using History of Belief States for Adaptive Dialogue Management
X Yuan – Proceedings of the 2019 International Conference on …, 2019 – dl.acm.org
… In addition, the R Studio package is used to access library of fuzzy logic for user clustering, library of wavelet transform for trend analysis … 4 shows the layout of the developed dialogue system and the use of an embodied agent for software customization, with details of book-store …

Assessment of the dynamics of publication activity in the field of natural language processing and deep learning
RI Mukhamedyev, Y Kuchin, K Denis… – … Conference on Digital …, 2019 – Springer
… were attributed (“NLP tasks” or “Tasks” group): Grammar Checking, Information Extraction, Text Categorization, Dialog Systems, Speech Recognition … Scientific NLP Methods” or “Methods” group): Machine Learning, Neural Networks, Deep Learning, Fuzzy Logic, First order logic …

Fuzzy ontology and LSTM-based text mining: A transportation network monitoring system for assisting travel
F Ali, S El-Sappagh, D Kwak – Sensors, 2019 – mdpi.com
… data according to the specification of data privacy. A fuzzy logic and genetic algorithms based on the NeverStop system is proposed to handle the issues of big data in ITSs [13]. This framework utilizes devices based on radio …

A review of artificial intelligence in the Internet of Things
C González García, ER Núñez Valdéz… – … Journal of Interactive …, 2019 – digibuo.uniovi.es
… Keywords Artificial Intelligence, Machine Learning, Learning Systems, Computer Vision, Fuzzy Logic, Natural Language Processing. Abstract Humankind has the ability of learning new things automatically due to the capacities with which we were born … VI. Fuzzy Logic …

Application of Convolutional Neural Network to Organize the Work of Collaborative Robot as a Surgeon Assistant
S Yin, A Yuschenko – International Conference on Interactive …, 2019 – Springer
… By itself, the robot dialogue control procedure has already been considered in a number of papers. Including, in [2] the procedure was realized via fuzzy logic, and in [3] – via theory of finite automata and Petri nets … The surgeon sends a command to the dialog system by voice …

Arguing with behavior influence: a model for web-based group decision support systems
J Carneiro, D Martinho, G Marreiros… – International Journal of …, 2019 – World Scientific
Page 1. Arguing with Behavior In°uence: A Model for Web-Based Group Decision Support Systems João Carneiro* GECAD ÀÀÀ Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development …

An Improved Approach of Intention Discovery with Machine Learning for POMDP-based Dialogue Management
RR Raval – 2019 – scholar.uwindsor.ca
… emotion ….. 88 Table 16 Final ECA emotion after crisp Fuzzy Logic System output ….. 88 … 26 Figure 5 Spoken Dialogue Systems (SDS) …. 26 …

A tour-guide robot: moving towards interaction with humans
BPEA Vásquez, F Matía – Engineering Applications of Artificial Intelligence, 2020 – Elsevier
… data. The path controllers are also executed in this layer. These are the path follower and the hallway controller, developed using fuzzy logic, which switch each other on according to environmental conditions. Commands that …

Cognitive Systems for Urban Planning: A Literature Review
L Recalde, J Meza, L Terán – International Summit Smart City 360°, 2019 – Springer
… Besides, in order to handle (or interpret) large amounts of high-dimensional and heterogeneous data, fuzzy logic and its application to Cognitive … goal is to emulate human analogical reasoning by using cognitive computing so it can be implemented in an urban dialogue system …

Research on human resource performance and decision-making evaluation based on fuzzy mathematics and clustering model
L Wang – Journal of Intelligent & Fuzzy Systems, 2019 – content.iospress.com
… The basic core of fuzzy logic is the fuzzification of the true concept itself and in our practical thinking activities, we often … consists of six sub-library systems, including database and its management system, model library and management system, dialogue system, knowledge base …

Implementing an Adaptive Neuro-Fuzzy Model for Emotion Prediction Based on Heart Rate Variability (HRV)
SS Park, KC Lee – Journal of Digital Convergence, 2019 – koreascience.or.kr
… (2004). Emotion Recognition Using Bio- sensors: First Steps towards an Automatic System. In E. André, L. Dybkjær, W. Minker, & P. Heisterkamp (Eds.), Affective Dialogue Systems (pp. 36-48) … (2013). Artificial neuro fuzzy logic system for detecting human emotions …

An Industrial Application of Soft Computing for the Design of Personalized Call Centers
D Griol, JM Molina, A Sanchis – … Workshop on Soft Computing Models in …, 2019 – Springer
… attractive opportunity to represent the ambiguity in human thinking with real life uncertainty [8]. It combines machine learning methods (neural networks, support vector machines), fuzzy logic, evolutionary computation … Section 2 describes the CMU Let’s Go spoken dialog system …

Methods of rational decision making in multi-agent systems for evaluating the effectiveness of innovations
V Osipov, A Posadskii, T Sivakova – AIP Conference Proceedings, 2019 – aip.scitation.org
… methods of the theory of importance of criteria and used with fuzzy preferences, in a dialogue system designed for a wide range of applications. Of particular note is the work of Kosco [23]. The author suggests using the apparatus of soft calculations and fuzzy logic to calculate …

On the role of knowledge graphs in explainable AI
F Lecue – Semantic Web, 2019 – content.iospress.com
… symbolic reasoning community [37] are worth investigating as they combine ANNs with probabilistic logic [54] or first order fuzzy logic [27 … Other core XAI tasks include: explaining the rationale of questions sequencing in dialogue, debugging a plan-based dialogue system [45] …

Neural networks for recognizing human activities in home-like environments
FJ Rodriguez Lera, FM Rico… – Integrated Computer …, 2019 – content.iospress.com
… The first procedure uses direct mechanisms, for instance a dialog system on the robot (through conversations or gestures) or a … instance, systems based on spatiotemporal reasoning [19], location-awareness ones [5], and those based on Perceptrons, fuzzy logic, and principal …

A Virtual Assistant Chatbot for College Advising System
H Mohamed, O Badawy, K Eskaf… – … Conference on Computer …, 2019 – Springer
… Dialogue systems. Sameera A. Abdul-Kader a survey and a comparison between nine papers on the techniques used to design Chatbot [13]. AIML … Glossary. What is fuzzy logic? Fuzzy Logic (FL) is a method …… Example: asking the Chatbot: What is Schedule …

COLLABORATIVE ROBOT-SURGEON ASSISTANT
S Yin, AS Yuschenko – Extreme Robotics, 2019 – elibrary.ru
… In [2] fuzzy logic was used to solve it, and in [3] theory of finite automata and Petri nets were used … 1). Figure 1 – The system of interaction between humans and robots In Figure 1 operator sends a voice request to the dialogue system …

THE USE OF MODERN EXPERT SYSTEMS IN THE ECONOMIC ENVIRONMENT OF THE COUNTRY
A Starukh – Publishing House “Baltija Publishing”, 2020 – baltijapublishing.lv
… They are developed using a fuzzy logic mathematical apparatus for application in narrow areas, since their usage requires a large amount of computer resources … The scheme of this procedure is shown in Figure 2. The lower part is the dialog system; the upper part is the system …

The studies of dynamics’ changes in publication activity in the field of natural language processing
V Barakhnin, ? Duisenbayeva… – Information …, 2019 – academia.edu
… the following (group of” NLP tasks” or” tasks”): Grammar Checking, Information Extraction, Text Categorization, Dialog Systems, Speech Recognition … group” scientific methods of NLP” or ” technique”): Machine Learning, Neural networks, Deep Learning, Fuzzy Logic, First Order …

A context?awareness model for activity recognition in robot?assisted scenarios
FJ Rodriguez Lera, F Martín Rico… – Expert …, 2020 – Wiley Online Library
… On the one hand, there is a direct procedure, for instance, a dialogue system in the robot (through conversations or gestures) or … Ahmad et al., 2006) based on perceptrons, and Meehan, Lunney, Curran, and McCaughey (2013) who uses perceptrons, fuzzy logic, and principal …

8 Head Pose as an Indicator of Drivers’ Visual Attention
S Jha, C Busso – Vehicles, Drivers, and Safety, 2020 – books.google.com
… of visual attention is very important to predict driver’s distraction, assess his/her situational awareness, and improve in-vehicle dialog systems … They proposed a fuzzy logic based system, which uses the head pose estimation and distance of frontal vehicles to create warning …

Computational linguistics: Introduction to the thematic issue
A Gelbukh – Computación y Sistemas, 2019 – cys.cic.ipn.mx
… Fuzzy Logic” write: In this paper we present an extractive summarization method for the Kazakh language based on fuzzy logic … They write: Retrieval- based dialogue systems converse with humans by ranking candidate responses according to their relevance to the history of …

Emolift: Elevator Conversations Based on Emotions.
A Oñate, G Méndez, P Gervás – ICCC, 2019 – nil.fdi.ucm.es
… Happy, Sad, Disgust and Angry. To carry out this Emoti- onal Chatting Machine, the authors use Fuzzy Logic to dis- cretize the emotional values of the sentences, and offer a response of the emotion obtained. However, this work is …

Artificial Intelligence: Second International Conference, SLAAI-ICAI 2018, Moratuwa, Sri Lanka, December 20, 2018, Revised Selected Papers
J Hemanth, T Silva, A Karunananda – 2019 – books.google.com
… 3 CN Savithri, R. Kevin, and E. Priya Fuzzy Logic Based Backtesting System … 177 Dinithi Weerabahu, Agra Gamage, Chathurya Dulakshi, Gamage Upeksha Ganegoda, and Thanuja Sandanayake A Novel Dialogue Manager Model for Spoken Dialogue Systems Based on User …

Learning inference rules from data
C Sakama, K Inoue, T Ribeiro – KI-Künstliche Intelligenz, 2019 – Springer
… meaningful. Figure 1 describes a deduction system \({{{mathcal {L}}}}\ while it could be a system of arbitrary logic, eg nonmonotonic logic, modal logic, fuzzy logic, as far as it has a formal system of inference. Alternatively, we …

Semantic Similarity Between Adjectives and Adverbs—The Introduction of a New Measure
M Colombo, E Portmann – Soft Computing for Biomedical Applications and … – Springer
… https://doi.org/10.1109/91.493904CrossRefGoogle Scholar. 6. Gupta, C., Jain, A., Joshi, N.: Fuzzy logic in natural language processing – a … Müller, S., D’Onofrio, S., Portmann, E.: Fuzzy analogical reasoning in cognitive cities – a conceptual framework for urban dialogue systems …

Project r-castle: Robotic-cognitive adaptive system for teaching and learning
D Tozadore, AHM Pinto, J Valentini… – … on Cognitive and …, 2019 – ieeexplore.ieee.org
… Regarding the specific algorithms to collect the objective measures, those that depend on users’ verbal communication (nW, RWa, Tta) will be provided by the Dialogue System, whereas the others, are analyzed with Adaptive Modules al- gorithms themselves …

Studying affective tutoring systems for mathematical concepts
D Mastorodimos… – Journal of Educational …, 2019 – journals.sagepub.com
Students face difficulties in learning mathematical processes. As a result, they have negative emotions toward mathematics. The use of technology is employed to change the student’s attitude toward…

Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion
M Huang, Z Liu, Y Tao – Simulation Modelling Practice and Theory, 2020 – Elsevier

Combination of Digital Twin and Artificial Intelligence in Manufacturing Using Industrial IoT
V Kharchenko, O Illiashenko… – 2020 IEEE 11th …, 2020 – ieeexplore.ieee.org
… for the automatic sorting of items such as batteries or food or (customer) communication using text-based dialogue systems (chatbots) … in space monitoring and manufacturing; 4) Machine vision of autonomous systems; 5) Expert systems for logistics based on fuzzy logic; 6) Text …

Towards disorder-independent automatic assessment of emotional competence in neurological patients with a classical emotion recognition system: application in …
J Sidorova, S Karlsson, O Rosander… – IEEE Transactions …, 2019 – ieeexplore.ieee.org
… Additionally, the listeners were asked to quantify how sure they were about their answers: “possibly”, “probably”, or “certainly”. Our idea and the first contribution is to formalize such intuitive heuristic approaches to labeling emotional data in a fuzzy logic framework …

Complex, resilient and smart systems
D Tokody, J Papp, LB Iantovics, F Flammini – Resilience of Cyber-Physical …, 2019 – Springer
… increasingly leverage on embedded intelligence in order to anticipate and detect unknown threats and automatically compute the most appropriate and safe solutions by using approaches based on machine learning, heuristics, fuzzy logic, bayesian inference … Dialogue systems …

The Need to Move beyond Triples.
FM Suchanek – Text2Story@ ECIR, 2020 – ceur-ws.org
… free. Real-valued logics, in contrast (such as Fuzzy Logic), model a degree of truth … though”. Such complex events could then be linked to the speaker, much like this is proposed in [LC18], and be woven into dialog systems [CCM+20] …

An Integrated System for Improved Assisted Living of Elderly People
IA Awada, I Mocanu, A Sorici, AM Florea – Recent Advances in Intelligent …, 2020 – Springer
… DM component: The DM component is responsible for the state and flow of the conversation. It receives as input the machine-reading representation of the user’s utterance generated by the NLU. Its output is a semantic representation of a list of instructions for the dialog system …

An analysis of the role of artificial intelligence in education and teaching
G Malik, DK Tayal, S Vij – Recent Findings in Intelligent Computing …, 2019 – Springer
… The domain of artificial intelligence covers a wide range of fields such as Natural Language processing, expert systems, fuzzy logic, neural networks and robotics [1]. Combination of natural language processing and artificial intelligence builds the … The dialogue system of Auto …

Developing enhanced conversational agents for social virtual worlds
D Griol, A Sanchis, JM Molina, Z Callejas – Neurocomputing, 2019 – Elsevier
… In order to enhance communication in these environments, we propose the integration of dialog systems to develop conversational agents with the ability of oral communication and, at the same time, which benefit from the visual modalities provided by virtual worlds …

An Ensemble-Based Densely-Connected Deep Learning System for Assessment of Skeletal Maturity
S Wang, X Wang, Y Shen, B He, X Zhao… – … on Systems, Man …, 2020 – ieeexplore.ieee.org
… Zhang et al. [13] evaluated the bone age by using fuzzy classification based on the features extracted from radiographic images. Some related works [14], [15] adopted fuzzy logic to assess skeletal matu- rity. Seok et al. [16] utilized decision rules to evaluate the bone age …

A POMDP-Based Optimization Method for Sequential Diagnostic Strategy With Unreliable Tests
Y Liang, M Xiao, X Wang, X Tang, H Zhu, J Li – IEEE Access, 2019 – ieeexplore.ieee.org
… The fuzzy logic inference method[13] is applied to handle the uncertainty information in safety … similar problems in various fields, such as UAV path planning[19-21], sensor scheduling[22], target tracking[23] and identification[24], maintenance scheduling[25], dialog system[26] et …

The Concept of the Software to Analyse Road Safety Statistics and Support Decision Making Process
A Pashkevich – Vision Zero for Sustainable Road Safety in Baltic …, 2019 – books.google.com
… of the road network and the ways to measure their vulnerability [11];(d) application of neural network and fuzzy logic for the … parts:(1) A data system for gathering and preserving rule- form information obtained from internal and external sources;(2) A dialogue system allowing to …

A review: Knowledge reasoning over knowledge graph
X Chen, S Jia, Y Xiang – Expert Systems with Applications, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

A Survey of Behavior Trees in Robotics and AI
M Iovino, E Scukins, J Styrud, P Ögren… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. A Survey of Behavior Trees in Robotics and AI Matteo Iovino, Edvards Scukins, Jonathan Styrud, Petter Ögren and Christian Smith ARTICLE INFO Keywords: Behavior Trees Robotics Artificial Intelligence Learning Behavior Trees Abstract …

Human-centered approaches that integrate sensor technology across the lifespan: Opportunities and challenges
TM Ward, M Skubic, M Rantz, A Vorderstrasse – Nursing Outlook, 2020 – Elsevier
… Children, parents, older adults, caregivers, and families routinely use technology in the form of smart watches and wireless-enabled activity trackers, such as Fitbit or the Apple Watch, and health dialog systems such as ChatBots, as a source of health information and health …

Applying Natural Language Processing Techniques to Generate Open Data Web APIs Documentation
C González-Mora, C Barros, I Garrigós… – … Conference on Web …, 2020 – Springer
… is text or non-linguistic data [6]. NLG has been used in many applications, such as text summarisation [19], dialog systems [20] or … about the vehicles in the roundabout entering lanes and then generate a description of the overall roundabout status using fuzzy logic and templates …

Gender Classification for Emotional Speech using GMFCC and Deep LSTM
S Kumar, J Yadav – researchgate.net
… With the technological advancement, the demands for emotion recognition in new speech dialogue system are very urgent as it has been … Here, the authors use two methods, namely fuzzy Logic and neural network, to find out two thresholds from features extracted from speech …

Determinants of the Adoption of Tutorial Expert Systems in Nigerian Educational System
CC Chigozie-Okwum, JS Igwe, PC Ezeanyeji – academiainformationtechnology.org
… This expert system is based on fuzzy logic and it gives significant flexibility in presenting the information and responding to individual student needs … Dialogue system is same to the user interface which helps better interaction of system with the learners …

ReUS: a Real-time Unsupervised System For Monitoring Opinion Streams
M Dragoni, M Federici, A Rexha – Cognitive Computation, 2019 – Springer
… and community detection [28], manufacturing and supply chain applications [29], human communication comprehension [30] and dialogue systems [31], etc … Further, approaches relying on the use of fuzzy logic [48, 49] for modeling the uncertainty associated with polarity values …

Autonomous Industrial Management via Reinforcement Learning
LE Leal, A Chapman, M Westerlund – Journal of Intelligent & Fuzzy … – content.iospress.com
… and natural (physical) conditions, [19] and [18] approach this through an expert system governed by fuzzy logic and highlight … for its potential to advance and improve applications in gaming, robotics, natural language processing (including dialogue systems, machine translation …

Autonomous Industrial Management via Reinforcement Learning: Self-Learning Agents for Decision-Making–A Review
LAE Leal, M Westerlund, A Chapman – arXiv preprint arXiv:1910.08942, 2019 – arxiv.org
… and natural (physical) conditions, [16] and [5] approach this through an expert system governed by fuzzy logic and highlight … for its potential to advance and improve applications in gaming, robotics, natural language processing (including dialogue systems, machine translation …

User Modeling Systems Adapted to Virtual Environments
GL López, APP Negr?n, J Paladines… – Virtual Reality …, 2020 – books.google.com
… A double adaptation of the dialogue is made to the user and to the agent. Within the dialogue system, the expressions are given by an ECA. With … Ferreira et al.(2010) represented user profiles, using ontologies with fuzzy logic. Users …

Multi Modal Aptitude Detection System for Smart Office
M Tehseen, H Javed, A Mehmood, M Amin… – IEEE …, 2019 – ieeexplore.ieee.org
… As can be seen, maximum accuracy of 99.5% for single emotion ‘stress’ is achieved in [23] using Electro Dermal Ac- tivity (EDA) and Heart Rate (HR) like physiological signals by using a fuzzy logic classifier … [23] EDA, HR No Specific Features Stated Fuzzy Logic Stress 99.5 …

A multimodal conversational coach for active ageing based on sentient computing and m?health
D Griol, JM Molina, A Sanchis – Expert Systems, 2020 – Wiley Online Library
Abstract As life expectancy increases, it has become more necessary to find ways to support healthy ageing. A number of active ageing initiatives are being developed nowadays to foster healthy habi…

Towards multimodal emotion recognition in german speech events in cars using transfer learning
D Cevher, S Zepf, R Klinger – arXiv preprint arXiv:1909.02764, 2019 – arxiv.org
… In the automotive sector, Boril et al. (2011) ap- proach the detection of negative emotional states within interactions between driver and co-driver as well as in calls of the driver towards the automated spoken dialogue system …

Strategies for online personalised nutrition advice employed in the development of the eNutri web app
RZ Franco, R Fallaize, F Hwang… – Proceedings of the …, 2019 – cambridge.org
… This fact motivated a number of researchers to investigate the pos- sibility of doing this analysis using fuzzy logic(51,58–61), in which the possible values are not only true or false, but a number between 0 and 1. Fuzzy logic for nutritional analysis Lee et al …

Knowledge Creation Model for Emotion Based Response Generation for AI
UK Premasundera, MC Farook – 2019 19th International …, 2019 – ieeexplore.ieee.org
… and J. Lee, “Deep Neural Network Self-training Based on Unsupervised Learning and Dropout”, The International Journal of Fuzzy Logic and Intelligent … [45] I. Serban, A. Sordoni, Y. Bengio, A. Courville and J. Pineau, “Building End-To-End Dialogue Systems Using Generative …

Chat-bot-based natural language interface for blogs and information networks
M Poongodi, V Vijayakumar… – … Journal of Web …, 2019 – inderscienceonline.com
… His current research interests are neural networks, fuzzy logic, and evolutionary intelligence with applications in industrial electronics, signal processing, control … At the same time, in the experiment, they built three experimental systems (a pure dialogue system associated with …

Social media opinion summarization using emotion cognition and convolutional neural networks
P Wu, X Li, S Shen, D He – International Journal of Information Management, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

A review of modularization techniques in artificial neural networks
M Amer, T Maul – Artificial Intelligence Review, 2019 – Springer
Artificial neural networks (ANNs) have achieved significant success in tackling classical and modern machine learning problems. As learning problems grow in scale and complexity, and expand into…

Toward AI Systems that Augment and Empower Humans by Understanding Us, our Society and the World Around Us
J Crowley, AP O’Sullivan, A Nowak, C Jonker… – 2019 – humane-ai.eu
… However, as shown in two of our survey papers [Garcez 2019][vanHarmelen 2019], there is no consensus on how to achieve this, with proposed techniques in the literature ranging from graph theory to linear algebra, and from propositional logic and fuzzy logic to continuous …

Automation and Presentation of Word Document Using Speech Recognition
I Garg, H Solanki, S Verma – 2020 International Conference for …, 2020 – ieeexplore.ieee.org
… Pires And Urbano Nunes, “A Wheelchair Steered through Voice Commands and Assisted by a Reactive Fuzzy-Logic Controller”, Journal of … [10] G Thimmaraja Yadava, PS Praveen Kumar, Haradagere Siddaramaiah Jayanna, “An End to End Spoken Dialogue System to Access …

Era of Intelligent Systems in Healthcare
S Belciug, F Gorunescu – … Decision Support Systems—A Journey to …, 2020 – Springer
… to the term “computational intelligence”. Having as starting point biology, researchers designed and developed artificial neural networks, evolutionary algorithms, swarm intelligence, fuzzy logic, etc. From physics or chemistry …

Automatic Text Summarization: A Comprehensive Survey
WS El-Kassas, CR Salama, AA Rafea… – Expert Systems with …, 2020 – Elsevier
… define the common statistical features and some extractive methods. In (Kumar & Sharma, 2019), Kumar and Sharma provide a survey about the extractive ATS systems that apply fuzzy logic methods. In (Mosa, Anwar, & Hamouda, 2019), Mosa et al …

Smart tourism: State of the art and literature review for the last six years
A Kontogianni, E Alepis – Array, 2020 – Elsevier
… in the city of Trento, Italy, 2016. [2], Find Tourist Profile, detects users’ preferences implicitly, based on the geolocation of social media photos, Deep Learning and Fuzzy Logic techniques, 2017. [38], UTravel, a mobile app that utilizes …

Design Foundations for Emotional Game Characters
G Smith, J Carette – Eludamos. Journal for Computer Game Culture, 2020 – eludamos.org
… The Fuzzy Logic Adaptive Model of Emotions, FLAME (El-Nasr, Yen, and Ioerger 2000), and the Emotion Model for Intelligent Agent, EMIA (Jain and Asawa 2015), are two computational models of emotion that use fuzzy logic and rules to map appraisal values to emotions …

Development of computational models of emotions: A software engineering perspective
E Osuna, LF Rodríguez, JO Gutierrez-Garcia… – Cognitive Systems …, 2020 – Elsevier
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Determination of intellectual activity in solving the problems of bank functioning optimization
D Dabahian – Technology audit and production reserves, 2019 – journals.uran.ua
… iPavlov is research project for an applied purpose: the ability to build dialogue systems that are able to maintain a meaningful dialogue with the user [3, 4] … It will use soft calculations based on fuzzy logic (since the criteria for evaluating a bank are not clear) …

World Knowledge Representation
Z Liu, Y Lin, M Sun – Representation Learning for Natural Language …, 2020 – Springer
… graph representation, which represents entities and relations in knowledge graphs with distributed representations, has been proposed and applied to various real-world artificial intelligence fields including question answering, information retrieval, and dialogue system …

Combining speech-based and linguistic classifiers to recognize emotion in user spoken utterances
D Griol, JM Molina, Z Callejas – Neurocomputing, 2019 – Elsevier
… Although emotion is receiving increasing attention from the dialog systems community, most research described in the literature is devoted exclusively to emotion recognition from paralinguistic cues. For example, comprehensive and updated reviews can be found in [35] …

Multi Modal Aptitude Detection System for Smart Office
M AMIN, I HUSSAIN, B JAN – researchgate.net
… As can be seen, maximum accuracy of 99.5% for single emotion ‘stress’ is achieved in [22] using Electro Dermal Activity (EDA) and Heart Rate (HR) like physiological sig- nals by using a fuzzy logic classifier. For two emotions maximum accuracy achieved is 96.58% in [21] …

Intelligent Decision Support Systems: A Journey to Smarter Healthcare
S Belciug, F Gorunescu – 2020 – Springer
… the term “compu- tational intelligence”. Having as starting point biology, researchers designed and developed artificial neural networks, evolutionary algorithms, swarm intelligence, fuzzy logic, etc. From physics or chemistry …

Human Emotion Recognition: Review of Sensors and Methods
A Dzedzickis, A Kaklauskas, V Bucinskas – Sensors, 2020 – mdpi.com
Automated emotion recognition (AEE) is an important issue in various fields of activities which use human emotional reactions as a signal for marketing, technical equipment, or human–robot interaction. This paper analyzes scientific research and technical papers for sensor use …

A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios
X Zhang, X Ming, Z Liu, D Yin, Z Chen… – The International Journal …, 2019 – Springer
… robot strategy, set up the AI Research Centre, and put forward the concept of “super smart society” and “AI com- prehensive development Plan (AIP).” In May 2013, in the “Exo-brain program,” South Korea is expected to develop the natural language dialog system for human …

Explainable Artificial Intelligence: a Systematic Review
G Vilone, L Longo – arXiv preprint arXiv:2006.00093, 2020 – arxiv.org
… An interesting alternative was proposed in [40] whereby methods based on nomograms, rule induction, fuzzy logic, graphical models and topographic mapping can be utilised to explain data-driven models and learning techniques …

Analyzing the Effectiveness of Smartphone Applications on Disease Management and Healthcare Systems
RR Ali, SA Mostafa, A Mustapha, MA Mohammed… – ausrevista.info
Page 1. REVISTA AUS 26-1 / Rabei Raad Ali et al.,/ DOI:10.4206/aus.2019.n26-1.28 / www.ausrevista.com/ editor@ausrevista.com 303 AR T ÍCU L O ABSTRACT/ In today’s complex global environments, it is highly challenging to achieve effective healthcare management …

ADVANTAGES, PERSPECTIVES AND RISKS TO USE AUTONOMOUS VEHICLES
IV Makarova, A Pashkevich… – … ????? ????????? ????, 2019 – elibrary.ru
… 2) A dialogue system affording the user to set the data to be selected and methods for their processing … Intelligent information analysis can include various methods, such as simulation modeling, neural network technologies, fuzzy logic, etc. or their combination …

Informatika Tanszék-Szakmai konferenciák
AWE Pyramid – 2020 – it.sze.hu
… filtering corpora and resources for speech and language data mining, term extraction, and semantic web dialogue systems and spoken … Artificial Intelligence Tools & Applications • CAD Design & Testing • Computer Vision and Speech Recognition • Fuzzy Logic, Systems and …

In the Search of Web of Intelligence
M Moradi, M Moradi, F Bayat – 2019 5th International …, 2019 – ieeexplore.ieee.org
… [40] LA Zadeh, “A note on web intelligence, world knowledge and fuzzy logic”, Data & Knowledge Engineering, vol. 50, no … 1-25, October 2015. [43] PA Crook, et al., “Conversational Semantic Search: Looking Beyond Web Search, Q&A and Dialog Systems”, Proceedings of the …

A survey: Cyber-physical-social systems and their system-level design methodology
J Zeng, LT Yang, M Lin, H Ning, J Ma – Future Generation Computer …, 2020 – Elsevier
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Extracting Concepts and Constructing Ontology from Software Engineering Research Papers
GK Chabada – 2019 – search.proquest.com
Page 1. Extracting Concepts and Constructing Ontology from Software Engineering Research Papers BY GURPREET KAUR CHABADA BE, Computer Engineering, KJ Somaiya College of Engineering, India, 2014 THESIS Submitted as partial fulfillment of the requirements …

Industrial AI
J Lee – Springer Books, 2020 – Springer
Page 1. Industrial AI Jay Lee Applications with Sustainable Performance Page 2. Industrial AI Page 3. Jay Lee Industrial AI Applications with Sustainable Performance 123 Page 4. Jay Lee Advanced Manufacturing University of Cincinnati Cincinnati, OH, USA …

Analysis and use of the emotional context with wearable devices for games and intelligent assistants
GJ Nalepa, K Kutt, B Gi?ycka, P Jemio?o, S Bobek – Sensors, 2019 – mdpi.com
In this paper, we consider the use of wearable sensors for providing affect-based adaptation in Ambient Intelligence (AmI) systems. We begin with discussion of selected issues regarding the applications of affective computing techniques. We describe our experiments for affect change …

Neural network modeling of in situ fluid-filled pore size distributions in subsurface shale reservoirs under data constraints
H Li, S Misra, J He – Neural Computing and Applications, 2020 – Springer
… Golsanami et al. [11] combined models of fuzzy logic and ANN to predict the eight-bin porosities of NMR T2 distribution from neutron, density, sonic, lithology, gamma ray, and effective porosity logs acquired from a reservoir unit consisting of limestone, dolomite, and shale …

Reinforcement learning in healthcare: A survey
C Yu, J Liu, S Nemati – arXiv preprint arXiv:1908.08796, 2019 – arxiv.org
Page 1. Reinforcement Learning in Healthcare: A Survey Chao Yu, Jiming Liu, Fellow, IEEE, and Shamim Nemati Abstract—As a subfield of machine learning, reinforcement learning (RL) aims at empowering one’s capabilities …

Structural Modeling of Technical Text Analysis and Synthesis Processes.
R Bekesh, L Chyrun, P Kravets, A Demchuk… – COLINS, 2020 – ceur-ws.org
… This has led to the abandonment of wordless morphologies in tasks where the accuracy of the analysis should prevail over its completeness, and to the transition to the use of dictionary morphologies in tasks such as machine translation and dialogue systems …

Towards the vision of a social robot in every home: A navigation strategy via enhanced subsumption architecture
K Othman – 2020 – summit.sfu.ca
Page 1. Towards the Vision of a Social Robot in every Home: A Navigation Strategy via Enhanced Subsumption Architecture by Kamal M. Othman MASc., Simon Fraser University, 2013 B.Sc., Umm Al-Qura University, 2004 Thesis Submitted in Partial Fulfillment of the …

What Is Artificial Intelligence and How to Exploit It?
RT Kreutzer, M Sirrenberg – Understanding Artificial Intelligence, 2020 – Springer
… To come to these decisions, neural networks use rules and principles. Gradient based training, fuzzy logic, genetic algorithms and Bayesian inference can be used. Basic rules about the relationships of different objects in the space to be modelled can be worked out here …

An interactive multi-agent reasoning model for sentiment analysis: a case for computational semiotics
J Akhtar – Artificial Intelligence Review, 2019 – Springer
Page 1. Artificial Intelligence Review https://doi.org/10.1007/s10462-019-09785-6 An interactive multi-agent reasoning model for sentiment analysis: a case for computational semiotics Junaid Akhtar1 © Springer Nature BV 2019 Abstract Semiotics is a domain that studies signs …

Handsketch-based diagram editing
R Zhao – 2019 – books.google.com
Page 1. TEUBNER-TEXTE Zur Informatik Band 5 R. Zhao Handsketch-Based Diagram Editing Page 2. TEUENER-TEXTE ZUr InfOrmatik Herausgegeben von Prof. Dr. Johannes Buchmann, Saarbrücken Prof. Dr. Udo Lipeck, Hannover Prof. Dr. Franz J. Rammig, Paderborn Prof …

A Systematic Approach for Automatically Answering General-Purpose Objective and Subjective Questions
LP Acharya – 2019 – repository.lib.fit.edu
Page 1. A Systematic Approach for Automatically Answering General-Purpose Objective and Subjective Questions by Lok Prasad Acharya A dissertation submitted to Florida Institute of Technology in partial fulfillment of the requirements for the degree of …

Designing emotional BDI agents: good practices and open questions
Y Sánchez-López, E Cerezo – The Knowledge Engineering Review, 2019 – cambridge.org
Page 1. The Knowledge Engineering Review, Vol. 34, e26, 1 of 33. © Cambridge University Press, 2019 doi:10.1017/S0269888919000122 Designing emotional BDI agents: good practices and open questions YANET SÁNCHEZ …

A cognitive IoE (Internet of Everything) approach to ambient-intelligent smart space.
GS Jamnal – 2019 – core.ac.uk
… 2.5.1 Fuzzy Logic application for handling uncertainty and vagueness . . 31 2.5.2 Recurrent Neural Network to Forecast Patterns . . . . . 35 2.5.3 Adaptive Neuro-Fuzzy Inference System . . . . . 37 vi Page 9. 2.5.4 Clustering for Activity Classification …

Review on psychological stress detection using biosignals
G Giannakakis, D Grigoriadis… – IEEE Transactions …, 2019 – ieeexplore.ieee.org
Page 1. 1949-3045 (c) 2019 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …

Improving Software Defect Assignment Accuracy with the LSTM and Rule Engine Model
R Zhu – 2019 – search.proquest.com
… 15 2.1 Model Based on Fuzzy Logic….. 15 … matrix becomes higher and higher for the hybrid model. The dissertation adds LSTM and rule-based engine with expert system and fuzzy logic basic idea to …

Quantum Machine Learning: A Patent Review
BS Haney – Available at SSRN 3626534, 2020 – papers.ssrn.com
Page 1. 1 Quantum Machine Learning: A Patent Review Brian S. Haney1 Abstract One of the central problems bottlenecking machine learning research is classical computational power limits. Quantum computing provides a …

Virtual humans: Today and tomorrow
D Burden, M Savin-Baden – 2019 – books.google.com
… 6.6 Figure 6.7 Figure 6.8 Figure 6.9 Figure 6.10 Figure 6.11 Figure 6.12 Figure 8.1 Figure 8.2 Figure 8.3 Figure 8.4 Figure 10.1 Figure 12.1 Figure 13.1 Figure 13.2 Figure 13.3 The key mind processes of a virtual human Kismet robot Research on dialogue systems for language …

Visual to text: Survey of image and video captioning
S Li, Z Tao, K Li, Y Fu – IEEE Transactions on Emerging Topics …, 2019 – ieeexplore.ieee.org
… 265 Case frames grammar represents the key elements in a sentence, 266 including location, object, predicate, agent, etc. Further, Nagel 267 and Zimmermann introduced a dialog system in which visual 268 scenes were depicted [62] …

Modeling driver behavior and their interactions with driver assistance systems
N Li – 2019 – digital.lib.washington.edu
… tion). Existing car-following models (eg, Gazis-Herman-Rothery (GHR) model, Fuzzy-logic model, Helly’s model, Intelligent Driver Model (IDM)) mostly focus on vehicle kinematics … widely studied and implemented in web applications and conversational dialogue systems …

Using deep learning and visual analytics to explore hotel reviews and responses
YC Chang, CH Ku, CH Chen – Tourism Management, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

A Case for a New IT Ecosystem: On-The-Fly Computing
H Karl, D Kundisch, FM auf der Heide… – Business & Information …, 2019 – Springer
Page 1. RESEARCH NOTE A Case for a New IT Ecosystem: On-The-Fly Computing Holger Karl • Dennis Kundisch • Friedhelm Meyer auf der Heide • Heike Wehrheim Received: 18 April 2019 / Accepted: 10 October 2019 © Springer …

Understanding Artificial Intelligence
RT Kreutzer, M Sirrenberg – 2020 – Springer
Page 1. Management for Professionals Understanding Artificial Intelligence Ralf T. Kreutzer · Marie Sirrenberg Fundamentals, Use Cases and Methods for a Corporate AI Journey Page 2. Management for Professionals Page 3 …

Online comments of multi-category commodities based on emotional tendency analysis
X Zhao, C Huang, H Pan – Cluster Computing, 2019 – Springer
As the promotion competition of comprehensive e-commerce platforms becomes increasingly keener, this paper aims at finding the differences and key elements of consumer perceptions of different…

Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications: 10th International Conference, DHM …
VG Duffy – 2019 – books.google.com
… 391 Shota Nakatani, Sachio Saiki, Masahide Nakamura, and Kiyoshi Yasuda Design of Coimagination Support Dialogue System with Pluggable Dialogue System – Towards Long-Term Experiment …

Virtual Reality Designs
APP Negrón, GL López, HRO Aguirre – 2020 – books.google.com
Page 1. Virtual Reality Designs Editors Adriana Peña Pérez Negrón Universidad de Guadalajara Guadalajara, México Graciela Lara López Universidad de Guadalajara Guadalajara, México Héctor Rafael Orozco Aguirre Universidad …

Conceptual Representations for Computational Concept Creation
A CARDOSO, J CORREIA, P MACHADO, P MARTINS… – 2019 – eecs.qmul.ac.uk
Page 1. 9 Conceptual Representations for Computational Concept Creation PING XIAO, HANNU TOIVONEN, and OSKAR GROSS, University of Helsinki AMÍLCAR CARDOSO, JOÃO CORREIA, PENOUSAL MACHADO, PEDRO …

A review of computational approaches for human behavior detection
S Nigam, R Singh, AK Misra – Archives of Computational Methods in …, 2019 – Springer
… This dynamicity of gestures is handled in various approaches. Zhang et al. [191] combined HMM with fuzzy logic and increased recognition accuracy in training phase. [138] increased recognition accuracy in data fetching phase. Gotkar et al …

Autonomous navigation of UAVs in large-scale complex environments: A deep reinforcement learning approach
C Wang, J Wang, Y Shen… – IEEE Transactions on …, 2019 – ieeexplore.ieee.org
Page 1. 0018-9545 (c) 2018 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …