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Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive Processing [article]

Nate Derbinsky, José Bento, Jonathan S. Yedidia
2013 arXiv   pre-print
In this context, we focus on the Three-Weight Algorithm, which aims to solve general optimization problems.  ...  In this paper we consider optimization as an approach for quickly and flexibly developing hybrid cognitive capabilities that are efficient, scalable, and can exploit knowledge to improve solution speed  ...  Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive  ... 
arXiv:1311.4064v1 fatcat:qbw7jl54kvgpnenl5rz7bvkogq

Scalable methods to integrate task knowledge with the Three-Weight Algorithm for hybrid cognitive processing via optimization

Nate Derbinsky, José Bento, Jonathan S. Yedidia
2014 Biologically Inspired Cognitive Architectures  
Given this context, we focus on the Three-Weight Algorithm, which is interruptible, scalable, and aims to solve general optimization problems.  ...  In this paper we consider optimization as an approach for quickly and flexibly developing hybrid cognitive capabilities that are efficient, scalable, and can exploit task knowledge to improve solution  ...  Integrating Knowledge with the TWA This section discusses two novel methods to integrate higher-level knowledge into the operation of the Three-Weight Algorithm.  ... 
doi:10.1016/j.bica.2014.03.007 fatcat:voctscpmvrcankeyv56k2ql56m

Learning Path Recommendation using Hybrid Particle Swarm Optimization

Eko Subiyantoro, Ahmad Ashari, Suprapto Suprapto
2021 Advances in Science, Technology and Engineering Systems  
The method used in this research is Hybrid Particle Swarm Optimization (HPSO) which integrates Binary Particle Swarm Optimization (BPSO) and Discrete Particle Swarm Optimization (DPSO).  ...  Based on experimental studies, the HPSO method can recommend a suitable learning path for cognitive classes, namely Low Cognitive (CL), Medium Cognitive (CM), and High Cognitive (CH).  ...  Acknowledgment Director General of Higher Education of the Ministry of Education and Culture Indonesia, National Competitive Research Program for Doctoral Dissertation Research (PDD) in 2020.  ... 
doi:10.25046/aj060161 fatcat:mczgdivuurbmli4vm7f22y7g5a

Models and methods of designing human-machine interaction-oriented interfaces

2020 Bulletin of TUIT: Management and Communication Technologies  
This paper describes how HCI (Human Computer Interface) patterns that are described formally can be used in conjunction with model-based user interface design in order to make it easier for the designer  ...  to use formalization techniques for the development of user interfaces.  ...  Hybrid intelligent optimization algorithm had become an important strategy to solve practical engineering problems [2] .  ... 
doi:10.51348/tuitmct315 fatcat:vjl2jkzoyjacjiom7xmsciu6ze

Usability Evaluation Approach of Educational Resources Software Using Mixed Intelligent Optimization

Jiaze Sun
2017 Mathematical Problems in Engineering  
Then the weight optimization problem was adapted to the smooth optimization problem by the maximum entropy function method, and the hybrid social cognitive optimization (HSCO) algorithm was introduced  ...  to solve the optimal weights of evidence.  ...  Acknowledgments This paper is partially supported by the Industrial Research Project of Shaanxi Province (2016GY-089) and the Science Foundation of Education Ministry of Shaanxi Province (15JK1672).  ... 
doi:10.1155/2017/2926904 fatcat:pglut73njbh2lcyk6llndjhxfm

Cognitive data science methods and models for engineering applications

Arun Kumar Sangaiah, Hoang Pham, Mu-Yen Chen, Huimin Lu, Francesco Mercaldo
2019 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
The new frontier research era and convergence of cognitive data science methods and models with reference to engineering has three main streams' needs to be addressed in the current scenario: bio-informatics  ...  The authors presented the estimation method, a new traffic flow guidance algorithm, Estimated Weighted Vehicle Density Feedback Strategy (EWVDFS) based on Weighted Vehicle Density Feedback Strategy (WVDFS  ... 
doi:10.1007/s00500-019-04262-2 fatcat:ipz6ulywkvedbgtojnckm3ama4

Particle Swarm Optimization Approach for Fuzzy Cognitive Maps Applied to Autism Classification [chapter]

Panagiotis Oikonomou, Elpiniki I. Papageorgiou
2013 IFIP Advances in Information and Communication Technology  
The aim of this study is to investigate a new classification algorithm for the autism disorder problem by integrating the Particle Swarm Optimization method (PSO) in FCM learning, thus producing a higher  ...  Fuzzy cognitive map (FCM) is a simple, but also powerful computational intelligent technique which is used for the adoption of the human knowledge and/or historical data, into a simple mathematical model  ...  The hybrid algorithms which are focused on computing weight matrices based on experts knowledge and historical data.  ... 
doi:10.1007/978-3-642-41142-7_52 fatcat:mvvfazuaafcr3kwnukbgoo7pyi

A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement

Musa H.
2015 International Journal of Energy and Power Engineering  
This paper reviews some of the PSO and hybrids of PSO Algorithms formulated for DG placement being one of the meta-heuristic optimization methods that fits stochastic optimization problems.  ...  Particle Swarm Optimization (PSO) has became one of the most popular optimization methods in the domain of Swarm Intelligence.  ...  Acknowledgements The authors acknowledged with gratitude the financial support offered by Bayero University Kano Nigeria and the provision of suitable research facilities.  ... 
doi:10.11648/j.ijepe.20150404.16 fatcat:4cxswpenvbasbhvwkdb2zndkqe

Intelligent Information Processing [Guest editor's introduction]

Wei Quan
2018 Computing in science & engineering (Print)  
The study of intelligent information processing seeks to establish theories, algorithms, and systematic methods and technology for dealing with complex system information and its uncertainty.  ...  It has broad applications in complex system modeling, system analysis, decision, control, optimization, and design.  ...  They explore the multiplicity of VLAD encoding with the extension of three kinds of encoding algorithms.  ... 
doi:10.1109/mcse.2018.021651334 fatcat:kh2rm26ppbguzpmk3n2gnvjnde

AE-Net: Autonomous Evolution Image Fusion Method Inspired by Human Cognitive Mechanism [article]

Aiqing Fang, Xinbo Zhao, Jiaqi Yang, Shihao Cao, Yanning Zhang
2020 arXiv   pre-print
Through the collaborative optimization of multiple image fusion methods to simulate the cognitive process of human brain, unsupervised learning image fusion task can be transformed into semi-supervised  ...  The optimal solution of each image is used to guide the weight training of network model.  ...  Xiaoming Wang for their support of the language of the paper. This work was supported by the National Natural Science  ... 
arXiv:2007.08763v1 fatcat:2bas5goyz5axpcunn7cjq2qewq

Layout Design of Human-Machine Interaction Interface of Cabin Based on Cognitive Ergonomics and GA-ACA

Li Deng, Guohua Wang, Suihuai Yu
2016 Computational Intelligence and Neuroscience  
First, from the perspective of cognitive psychology, according to the information processing process, the cognitive model of human-machine interaction interface was established.  ...  In order to consider the psychological cognitive characteristics affecting operating comfort and realize the automatic layout design, cognitive ergonomics and GA-ACA (genetic algorithm and ant colony algorithm  ...  Using the human-machine interaction interface in line with users' experience and knowledge and adopting the appropriate processing method conform to the old habits and concepts, which could reduce the  ... 
doi:10.1155/2016/1032139 pmid:26884745 pmcid:PMC4739460 fatcat:ljm6xxy36ffthokb5o3k4c7wbm

Optimization of Fuzzy Cognitive Map Model in Clinical Radiotherapy Through Differential Evolution Algorithm

Elpiniki PAPAGEORGIOU, Peter GROUMPOS
2003 International journal of biomedical soft computing and human sciences  
in this article, a Fleiay Cbgnitive Mbp model used for the supervision and monitoring of the radietherapyprocess, is optimized through the minimization ofan objective.fitnction. using the Dtfilerential  ...  a clinical case and make decisions for the successul or not oj'the radiotheupy.  ...  The proposed algorithm determined the optimal weight matrix for the supervisor-FCM An hybrid system consisting of the FCM and the computational intelligence technique of DE has been proposed in this work  ... 
doi:10.24466/ijbschs.9.2_25 fatcat:vjiml44ulvc7dgmq6dqli6houe

Intelligent Systems: Architectures and Perspectives [chapter]

Ajith Abraham
2003 Studies in Fuzziness and Soft Computing  
This chapter introduces the different generic architectures for integrating intelligent systems.  ...  The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these techniques has, in recent  ...  Acknowledgements Author is grateful to Professor Lakhmi Jain (University of South Australia, Adelaide) and the three referees for the technical comments, which improved the clarity of this chapter.  ... 
doi:10.1007/978-3-7908-1770-6_1 fatcat:u7g7qckslzcyxnxghenpzuwpma

Special Issue Editorial: Computational Intelligence and Applications

Zhigang Zeng, Haibo He
2013 Cognitive Computation  
Specifically, the authors presented a method based on modified k-means support vector machines (SVMs) with hybrid sampling method for image classification.  ...  This method is based on an effective statistical framework to model prior knowledge of natural images with an efficient Gibbs sampling algorithm.  ...  Specifically, Chen et al. presented a method by combining genetic algorithm and simulated annealing algorithm to optimize the weights and biases of a neural network for landslide prediction application  ... 
doi:10.1007/s12559-013-9204-5 fatcat:wnixwq6jfvg2riygeg3ocrzalq

A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps

Elpiniki I. Papageorgiou, Peter P. Groumpos
2005 Applied Soft Computing  
A novel hybrid method based on evolutionary computation techniques is presented in this paper for training Fuzzy Cognitive Maps.  ...  The methodology of developing Fuzzy Cognitive Maps relies on human expert experience and knowledge, but still exhibits weaknesses in utilization of learning methods and algorithmic background.  ...  The hybrid evolutionary algorithm In this section, we present the hybrid method combined of differential evolution algorithm and nonlinear Hebbian learning (NHL) algorithm for FCMs.  ... 
doi:10.1016/j.asoc.2004.08.008 fatcat:y2oxeae7yrce3bqrsbbnygwnee
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