Development of Cross-Platform Cognitive Tools Invariant to Problem Areas and their Integration into Intelligent Systems

2016 ◽  
Vol 683 ◽  
pp. 609-616 ◽  
Author(s):  
Anna Yankovskaya ◽  
Artyom Yamshanov
Keyword(s):  
Decision Making ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Material Research ◽  
Cognitive Tools ◽  
New Approach ◽  
Knowledge Analysis ◽  
Cross Platform ◽  
Cognitive Graphics ◽  
Simplex Family

Nowadays application and development of cognitive graphic tools for the usage in intelligent system of data and knowledge analysis, decision-making and its justification for different problem areas including material research are urgency. Most significantly developed cognitive graphics tools based on n-simplex which are invariant to problem areas are presented. Specificity of program realization of cognitive graphics tools which is invariant to problem areas is described. Most significant results are given and discussed. Future investigations are connected with the usage of new approach to rendering, cross-platform realization, improving cognitive features and expanding n-simplex family

A Rollout Control Algorithm for Discrete-Time Stochastic Systems

2010 ◽  
Author(s):  
Andreas A. Malikopoulos
Keyword(s):  
Decision Making ◽  
Markov Chain ◽  
Intelligent Systems ◽  
Control Algorithm ◽  
Stochastic Systems ◽  
Intelligent System ◽  
Control Policy ◽  
Suboptimal Control ◽  
Sequential Decision ◽  
Significant Research

The growing demand for making autonomous intelligent systems that can learn how to improve their performance while interacting with their environment has induced significant research on computational cognitive models. Computational intelligence, or rationality, can be achieved by modeling a system and the interaction with its environment through actions, perceptions, and associated costs. A widely adopted paradigm for modeling this interaction is the controlled Markov chain. In this context, the problem is formulated as a sequential decision-making process in which an intelligent system has to select those control actions in several time steps to achieve long-term goals. This paper presents a rollout control algorithm that aims to build an online decision-making mechanism for a controlled Markov chain. The algorithm yields a lookahead suboptimal control policy. Under certain conditions, a theoretical bound on its performance can be established.

scholarly journals Sistem Pendukung Keputusan Prediksi Kecepatan Studi Mahasiswa Menggunakan Metode ID3

2011 ◽  
Vol 2 (2) ◽  
Author(s):  
Ronny Ardi Giovani ◽  
Paulus Mudjihartono ◽  
Pranowo Pranowo
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Computer Science ◽  
Support System ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Speed Prediction ◽  
Past Data ◽  
Tree Development

Abstract. Decision Support System of Students’ Study Speed Prediction Using ID3 Method. Speed can be a decisive period of study a student taking a degree in sajana. In this study would be built applications that serve to speed decision making predictions Students study Computer Science University of Atma Jaya Yogyakarta. Students will be expected sooner or later than the period of study by taking one course or thesis that will be undertaken after a certain semesters. There are many methods of classification of one method of ID3 (Induction Decision 3 'Tree'). Development system in this study made use of intelligent systems-based applications. The results achieved after the system is formed, among others, sophisticated and intelligent system capable of storing past data is used as a reference for decision making, where students with certain criteria can know the travel time of their studies, and can refer to the database so the system can be more detailed and rigorous in determining the choice. Keywords: study period speed, Decision Support Systems, ID3, Intelligent Systems Kecepatan masa studi dapat menjadi penentu seorang mahasiswa dalam menempuh gelar sajana. Dalam penelitian ini akan dibangun aplikasi yang berfungsi untuk pengambilan keputusan prediksi kecepatan studi Mahasiswa Teknik Informatika Universitas Atma Jaya Yogyakarta. Mahasiswa akan diprediksi  cepat atau lambatnya masa studi dalam menempuh mata kuliah maupun skripsi yang akan dijalani setelah semester tertentu. Ada banyak metode klasifikasi salah satunya metode ID3 (Induction Decision 3 ‘Tree’). Pembangunan sistem dalam penelitian ini dibuat menggunakan aplikasi berbasis sistem  cerdas. Hasil yang dicapai setelah sistem ini terbentuk antara lain sistem canggih dan cerdas yang mampu menyimpan data masa lalu yang digunakan sebagai acuan pengambilan keputusan, dimana mahasiswa dengan kriteria tertentu dapat diketahui masa tempuh studi mereka, serta dapat mengacu pada database sehingga sistem dapat lebih detail serta teliti dalam menentukan pilihan. Kata Kunci: kecepatan masa studi, Sistem Pendukung Keputusan, ID3, Sistem Cerdas

scholarly journals Research on the Framework of Intelligent Command Decision System for Flood Control

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Yao Zhang
Keyword(s):  
Decision Making ◽  
Intelligent Systems ◽  
Flood Control ◽  
Intelligent System ◽  
Decision Makers ◽  
Intelligent Decision Making ◽  
Related Information ◽  
Control Command ◽  
Decision Making System ◽  
Key Issues

Starting from the process of flood control and flood control decision-making, the shortcomings of the traditional flood control and flood control command and decision-making system are analyzed, and an intelligent decision-making system for flood control and flood control is proposed. The structure and functions of the system framework are elaborated in detail, and the key issues in the process of building intelligent systems are pointed out. Based on the real-time information monitoring system, this intelligent system can predict the next phase of hydrometeorology, flood and other related information, help decision makers to identify risks, and optimize the best flood control dispatching plan for decision makers to choose.

scholarly journals An Intelligent Decision-Making Support System for the Detection and Staging of Prostate Cancer in Developing Countries

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Jun Zhang ◽  
Zhigang Chen ◽  
Jia Wu ◽  
Kanghuai Liu
Keyword(s):  
Prostate Cancer ◽  
Decision Making ◽  
Developing Countries ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Diagnostic System ◽  
Medical Personnel ◽  
Medical Systems ◽  
Intelligent Decision Making ◽  
Diagnosis Rate

Most developing countries face huge challenges in the medical field; scarce medical resources and inadequate medical personnel will affect the development and stability of the society. Therefore, for most developing countries, the development of intelligent medical systems can greatly alleviate the social contradictions arising from this problem. In this study, a new data decision-making intelligent system for prostate cancer based on perceptron neural network is proposed, which mainly makes decisions by associating some relevant disease indicators and combining them with medical images. Through data collection, analysis and integration of medical data, as well as the disease detection and decision-making process, patients are given an auxiliary diagnosis and treatment, so as to solve the problems and social contradictions faced by most developing countries. Through the study of hospitalization information of more than 8,000 prostate patients in three hospitals, about 2,156,528 data items were collected and compiled for experiment purposes. Experimental data shows that when the patient base increases from 200 to 8,000, the accuracy of the machine-assisted diagnostic system will increase from 61% to 87%, and the doctor’s diagnosis rate will be reduced to 81%. From the study, it is concluded that when the patient base reaches a certain number, the diagnostic accuracy of the machine-assisted diagnosis system will exceed the doctor’s expertise. Therefore, intelligent systems can help doctors and medical experts treat patients more effectively.

Mission Performance Aids

2015 ◽  
pp. 190-218
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Cumulative Effect ◽  
Critical Events ◽  
Operational Conditions ◽  
Operational Decision Making ◽  
Mission Critical ◽  
Flight Deck

Flight deck displays that automatically adapt themselves to changing operational conditions are referred to as mission adaptive displays, or smart cockpits. A smart cockpit is an intelligent system possessing advanced reasoning capabilities. Mission Performance Aids are a particular manifestation of Mission Adaptive Displays. Mission Performance Aids fall into three categories: Precision Maneuver Guidance (PMG), Mission Performance Evaluator (MPE), and Operational Decision Making (ODM). The MPE alerts the crew to parameter exceedance. The ODM can calculate a cumulative effect with respect to two or more risk factors being encountered simultaneously. They discern all mission critical events, including escape maneuvers. Currently, this type of performance aid is not available. So this section should prove especially useful for designers of advanced intelligent systems.

Intelligent evaluation of suppliers using extent fuzzy TOPSIS method

2018 ◽  
Vol 25 (1) ◽  
pp. 259-279 ◽  
Author(s):  
Vinod Yadav ◽  
Milind Kumar Sharma ◽  
Shailender Singh
Keyword(s):  
Decision Making ◽  
Intelligent Systems ◽  
Supplier Selection ◽  
Intelligent System ◽  
Fuzzy Topsis ◽  
Vital Role ◽  
Small Scale ◽  
Quality Cost ◽  
Content Type ◽  
Selection Decision

Purpose In a developing economy like India, the contribution of small- and medium-sized enterprises (SMEs) to the national gross domestic product is significant. This sector creates immense employment opportunities and produces economic products and services. To survive in the globalized marked condition, it is essential for SMEs to be competitive on several fronts such as quality, cost, delivery, lead time, flexibility, etc. Hence, it is imperative for them to have a sound supplier base. Therefore, supplier selection problem (SSP) has a vital role to play in supply chain management of SMEs. The paper aims to discuss these issues. Design/methodology/approach However, SSP has now become a significant challenge to address due to the complexity, vagueness and various criteria involved in it. Recently, fuzzy Technique for Order Performance by Similarity to Ideal Solution method has been widely used to tackle such problems. Findings The present paper aims at developing an intelligent system for SSP, which can consider the multiple criteria and the uncertainty aspects in the decision process. A case study of a small-scale manufacturing company has been presented. Practical implications This study provides a guideline for SME sector to implement intelligent systems for supplier selection decision-making problems. Case application concludes that this model improves firm’s decision making and suppliers’ performance. Originality/value The proposed intelligent model can provide the guidelines and directions for the decision makers to effectively choose suppliers in the current competitive environment. And it also provides an opportunity for supplier improvement.

scholarly journals HIERARCHICAL REPRESENTATION OF CAUSAL RELATIONSHIPS TO DETAIL EXPLANATIONS IN INTELLIGENT SYSTEMS

2021 ◽  
Vol 5 (4) ◽  
pp. 103-108
Author(s):  
Serhii Chalyi ◽  
Volodymyr Leshchynskyi
Keyword(s):  
Decision Making ◽  
Information System ◽  
Intelligent Systems ◽  
Input Data ◽  
Intelligent System ◽  
Decision Making Process ◽  
Causal Relationships ◽  
Hierarchical Representation ◽  
Cause And Effect ◽  
Intelligent Information

The subject of research in the article is the processes of constructing explanations in intelligent systems based on the use of causal dependencies. The aim is to develop a hierarchical representation of causal relationships between the actions of an intelligent system to form an explanation of the process of the system's operation with a given degree of generalization or detailing. Representation of the hierarchy of cause-and-effect relationships allows you to form an explanation at a given level of detail using the input data in the form of a temporally ordered sequence of events reflecting the known actions of an intelligent system. Tasks: structuring the hierarchy of cause-and-effect relationships for known variants of the decision-making process in an intelligent information system, considering the temporal ordering of the corresponding actions; development of a model of a multi-level representation of causal dependencies for description for explanations in an intelligent system. The approaches used are: counterfactual analysis of causality, used to describe alternative dependencies for possible decision-making options; linear temporal logic to reflect the temporal aspect of causation. The following results were obtained. A generalized hierarchy of cause-and-effect relationships is highlighted for the known variants of the process of obtaining recommendations in an intelligent information system based on the temporal ordering of the corresponding decision-making actions. A model of hierarchical representation of causal dependencies has been developed to describe explanations in an intellectual system with a given degree of detail. Conclusions. The scientific novelty of the results obtained is as follows. A model of hierarchical representation of time-ordered causal relationships is proposed to describe the explanations of the operation of an intelligent system with a given degree of detail. At the top level of the hierarchy, the model defines a generalized causal relationship between the event of using the input data and the event of the result of the system's operation. This connection describes the current task that the intelligent information system solves. At the lower level, cause-and-effect relationships are set between events sequential in time, between which there are no other events. At intermediate levels of the hierarchical representation, the causal dependencies of pairs of events are determined, between which there are other events. The developed model creates conditions for constructing explanations with a given degree of detailing of the actions of the decision-making process in an intelligent system. The model also provides the ability to describe early and late anticipation of alternative sequences of the decision-making process by describing causal dependencies for events between which there are other events.

Artificial intelligence as a moving force of improvement and innovative development in education and pedagogic

2019 ◽  
pp. 21-30
Author(s):  
M. G. Koliada ◽  
T. I. Bugayova
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Interaction Analysis ◽  
Educational Data Mining ◽  
Main Task ◽  
Intellectual System ◽  
Will Force ◽  
To Come ◽  
Artificial Intelligence Systems

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.

The Central Role of Cognitive Computations in Human-Information Interaction

2018 ◽  
Author(s):  
Wai-Tat Fu ◽  
Jessie Chin ◽  
Q. Vera Liao
Keyword(s):  
Information Systems ◽  
Cognitive Science ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Levels Of Abstraction ◽  
Intelligent Information Systems ◽  
Emergent Behaviour ◽  
Information Interaction ◽  
Intelligent Information

Cognitive science is a science of intelligent systems. This chapter proposes that cognitive science can provide useful perspectives for research on technology-mediated human-information interaction (HII) when HII is cast as emergent behaviour of a coupled intelligent system. It starts with a review of a few foundational concepts related to cognitive computations and how they can be applied to understand the nature of HII. It discusses several important properties of a coupled cognitive system and their implication to designs of information systems. Finally, it covers how levels of abstraction have been useful for cognitive science, and how these levels can inform design of intelligent information systems that are more compatible with human cognitive computations.

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