Lakhmi Jain - Academia.edu (original) (raw)

Papers by Lakhmi Jain

Intelligent decision technologies, Feb 20, 2024

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Learning and Analytics in Intelligent Systems, 2019

The book at hand constitutes the inaugural volume in the new Springer series on Learning and Anal... more The book at hand constitutes the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at making available a publication of books in hardcopy and soft-copy form on all aspects of learning, analytics and advanced intelligent systems and related technologies. These disciplines are strongly related and complement one another significantly. Thus, the new series encourages a unified/integrated approach to themes and topics in these disciplines which will result in significant cross-fertilization, research advancement and new knowledge creation. To maximize dissemination of research results and knowledge, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. The book at hand is directed towards professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter guides readers to probe further into application areas of interest to them.

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Intelligent Systems Reference Library, 2019

This chapter presents a brief description of chapters pertaining to advanced decisions for techni... more This chapter presents a brief description of chapters pertaining to advanced decisions for technical and medical systems. Recent research results in the image and videos processing, transmission, and image analysis are included in Part I, while a wide spectrum of algorithms for medical image processing are included in Part II of this book. Each chapter involves detail practical implementations and explanations.

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Intelligent Systems Reference Library, 2016

General tutoring system model, presented in previous chapter, can be used as a skeleton for an im... more General tutoring system model, presented in previous chapter, can be used as a skeleton for an implementation of concrete programming tutoring system. This chapter presents details about implementation of Java programing course based on defined model. Protus 2.1 is a tutoring system designed to provide learners with personalized courses from various domains. It is an interactive system that allows learners to use teaching material prepared for appropriate courses and also includes parts for testing acquired knowledge. In spite of the fact that this system is designed and implemented as a general tutoring system, the first completely implemented and tested version was for an introductory Java programming course. This chapter presents the most important requests for implementation of personalization options in e-learning environments, as well as design, architecture and interface of Protus 2.1 system. Details about previous versions of the system, defined user requirements for the new version of the system, architecture details, as well as general principles for application of defined general tutoring model for implementation of programming course in Protus 2.1 are presented.

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Intelligent Systems Reference Library, 2016

Regardless of used methodology, central problem in creating web-based educational systems and tak... more Regardless of used methodology, central problem in creating web-based educational systems and taking benefits from their wide use is the fact that the current approaches are rather inflexible and inefficient. Design of such systems must be directed to allow reuse or sharing of content, knowledge, and functional components of those systems. According to techniques and methodologies presented in previous chapters, it is possible to develop modern personalized educational system and fully use benefits that Semantic Web technologies offer. In this chapter, general tutoring model is presented that allows building the personalized courses from various domains. This chapter presents architecture of a general tutoring system whose components are modelled and implemented using Semantic Web technologies. Presented tutoring system framework offers options to build, organize and update specific learning resources (educational materials, learner profiles, learning path through materials, and so on.).

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Intelligent Systems Reference Library, 2016

Collaborative tagging is technique, highly employed in different domains, which is used for autom... more Collaborative tagging is technique, highly employed in different domains, which is used for automatic analysis of users’ preferences and recommendations. To improve recommendation quality, metadata such as content information of items has typically been used as additional knowledge. With the increasing reputation of the collaborative tagging systems, tags could be interesting and provide useful information to enhance algorithms for recommender systems. Besides helping user to organize his/her personal collections, a tag also can be regarded as a user’s personal opinion expression, while tagging can be considered as implicit rating or voting on the tagged information resources or items. The overview, presented in this chapter includes descriptions of content-based recommender systems, collaborative filtering systems, hybrid approach, memory-based and model-based algorithms, features of collaborative tagging that are generally attributed to their success and popularity, as well as a model for tagging activities and tag-based recommender systems.

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Intelligent Systems Reference Library, 2016

Implemented Protus 2.1 for Java programming language has been used in real-life educational envir... more Implemented Protus 2.1 for Java programming language has been used in real-life educational environments. The experiments were realized on an educational dataset, consisting of 440 learners, 3rd year undergraduate students of the Department of Information technology at Higher School of Professional Business Studies, University of Novi Sad. The experiment lasted for two semesters. Involved learners were programming beginners that successfully passed the basic computer literacy course at previous semester. They were divided into two groups: the experimental group and the control group. Learners of the control group learned with the previous version of the system and did not receive any recommendation or guidance through the course, while the learners of the experimental group were required to use Protus 2.1 system. Learners from both groups did not take any parallel traditional course and they were required not to use any additional material or help. This chapter highlights the results of the evaluation and discussion of analysis of the results regarding the validity of the tutoring system presented in the previous chapters.

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Intelligent Systems Reference Library, 2016

The ultimate goal of developing Protus 2.1 system has been increasing the learning opportunities,... more The ultimate goal of developing Protus 2.1 system has been increasing the learning opportunities, challenges and efficiency. Two important ways of increasing the quality of Protus 2.1 service are to make it intelligent and adaptive. Different techniques need to be implemented to adapt content delivery to individual learners according to their learning characteristics, preferences, styles, and goals. Protus 2.1 provides two general categories of personalization in system based on adaptive hypermedia and recommender systems: content adaptation and adaptation of user interface. Several approaches are used to personalize the material presented to the learner. Programming course in Protus 2.1 offers three types of personalization to each individual learner: (1) use of recommender systems, (2) learning styles personalization and (3) personalization based on resource sequencing. This chapter presents Protus 2.1 functionalities as well as personalization options from the end-user perspective.

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Intelligent Systems Reference Library, 2016

In e-learning systems, learners usually does not visit educational materials linearly, but have a... more In e-learning systems, learners usually does not visit educational materials linearly, but have access to different materials via a number of links to other lessons or teaching units. In modern Web-based learning environments, the authors avoid creation of static learning material that is presented to the learner in a linear way, due to the large amount of interdependences and conditional links between the various pages. Often, authors create multiple versions of learning resources so the system can propose to the learner the appropriate one. This leads to the learning concept known as content adaptation. The order of visiting educational material can be influenced by manipulating the hypertext links. This process is called link adaptation. The most popular content and link adaptation techniques used in e-learning environments are presented in this chapter. The chapter also covers basic principles of adaptive educational hypermedia systems.

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Smart Innovation, Systems and Technologies, 2016

This book contains a collection of innovative chapters emanating from topics raised during the 5t... more This book contains a collection of innovative chapters emanating from topics raised during the 5th KES International Conference on Intelligent Decision Technologies (IDT), held during 2013 at Sesimbra, Portugal. The authors were invited to expand their original papers into a plethora of innovative chapters espousing IDT methodologies and applications. This book documents leading-edge contributions, representing advances in Knowledge-Based and Intelligent Information and Engineering System. It acknowledges that researchers recognize that society is familiar with modern Advanced Information Processing and increasingly expect richer IDT systems. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications. Anyone that wants to work with IDT or simply process knowledge should consider reading one or more chapters and focus on their technique of choice. Most readers will benefit from reading additional chapters to access alternative technique that often represent alternative approaches. This book is suitable for anyone interested in or already working with IDT or Intelligent Decision Support Systems. It is also suitable for students and researchers seeking to learn more about modern Artificial Intelligence and Computational Intelligence techniques that support decision-making in modern computer systems.

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The interdisciplinary field of smart digital systems is crucial to modern computer science, encom... more The interdisciplinary field of smart digital systems is crucial to modern computer science, encompassing artificial intelligence, information systems and engineering. For over a decade, the mission of KES International has been to provide publication opportunities for all those who work in knowledge intensive subjects. The conferences they run worldwide are aimed at facilitating the dissemination, transfer, sharing and brokerage of knowledge in a number of leading edge technologies. This book presents some 80 papers selected after peer review for inclusion in three KES conferences, held as part of the Smart Digital Futures 2014 (SDF-14) multi-theme conference in Chania, Greece, in June 2014. The three conferences are: Intelligent Decision Technologies (KES-IDT-14), Intelligence Interactive Multimedia Systems and Services (KES-IIMSS-14), and Smart Technology-based Education and Training (KES-STET-14). The book will be of interest to all those whose work involves the development and application of intelligent digital systems.

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Intelligent Systems Reference Library, 2013

Bookmarks Related papers MentionsView impact

Intelligent Decision Technologies

Artificial Intelligence research is presenting phenomenal progress in two directions: (i) new the... more Artificial Intelligence research is presenting phenomenal progress in two directions: (i) new theories and methodologies, and (ii) applications that expand traditional domains with innovative interventions. As indicated by recent reports, this progress has created a disequilibrium, where demand for scientists with skills in Artificial Intelligence is not fulfilled, a trend that will intensify further in the years to come. A potential solution to this shortage of specialised workforce may come from encouraging more women to get educated and follow a career in one of the Artificial Intelligence areas. This special collection of invited papers is dedicated to all women researchers and practitioners in Artificial Intelligence and coincides with the March 8, 2023 International Women’s Day. Moreover, it has two specific goals: (i) to inspire more women to study and practice Artificial Intelligence through presentation of recognized women researchers who can act as role models, and (ii) to...

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1999 European Control Conference (ECC), 1999

Based on he first systematic approach to fuzzy speech production modeling, we demonstrate the eff... more Based on he first systematic approach to fuzzy speech production modeling, we demonstrate the effectiveness of the fuzzy control for speech signal generation. The control is designed in the sense of supporting specific speech variability, as described by "classical" knowledge base (and fuzzified by us) about the phenomenon of speech production.

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The Psychological Basis of Cognitive Modeling.- Parallel and Distributed Logic Programming.- Dist... more The Psychological Basis of Cognitive Modeling.- Parallel and Distributed Logic Programming.- Distributed Reasoning by Fuzzy Petri Nets: A Review.- Belief Propagation and Belief Revision Models in Fuzzy Petri Nets.- Building Expert Systems Using Fuzzy Petri Nets.- Distributed Learning Using Fuzzy Cognitive Maps.- Unsupervised Learning by Fuzzy Petri Nets.- Supervised Learning by a Fuzzy Petri Net.- Distributed Modeling of Abduction, Reciprocity, and Duality by Fuzzy Petri Nets.- Human Mood Detection and Control: A Cybernetic Approach.- Distributed Planning and Multi-agent Coordination of Robots.

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The chapter contains a brief description of chapters that contribute to the development and appli... more The chapter contains a brief description of chapters that contribute to the development and applications of computational methods and parallel algorithms in different areas of gas dynamics, aerodynamics, hydrodynamics, turbulence, solids dynamic, dynamic systems, optimal control. The first part presents the recent advances in computational fluid dynamics and aerodynamics. The second part introduces a numerical simulation of multiphase flows, combustion, and detonation. The third part is devoted to computational solid mechanics, and the fourth part provides a numerical study of dynamic systems.

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Advances in Data Science: Methodologies and Applications, 2020

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International Journal of Advanced Intelligence Paradigms, 2017

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Intelligent Decision Technology Support in Practice, 2015

A succession of data-bases, Advanced Information Processing (AIP) and Intelligent Decision-Making... more A succession of data-bases, Advanced Information Processing (AIP) and Intelligent Decision-Making Technologies (IDT) have evolved rapidly over the past five decades. This cumulative evolution of Intelligent Decision Support Systems (IDSSs) has served to stimulate industrial activity and enhanced the lives of most people that the modern world. This publication highlights a series of current contributions to enhance the collective body of knowledge. Artificial Intelligence (AI) and Computational Intelligence (CI) techniques continue to be successfully employed to generate human-like decision-making, while simultaneously providing greater access to information to solve data intensive problems. This book documents innovative contributions that represent advances in Knowledge-Based and Intelligent Information and Engineering Systems. New research recognises that society is familiar with modern AIP and increasingly expect richer IDT systems. Today there is a growing reliance on automatically processing information into knowledge with less human input. Society has already digitised its past and continues to progressively automate knowledge management for the future and increasingly expect to access this information using mobile devices. This book seeks to inform and enhance the exposure of research on intelligent systems and intelligence technologies that utilize novel and leading-edge techniques to improve decision-making. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications. These approaches have the potential to support decision making in the areas of management, international business, finance, accounting, marketing, healthcare, production, networks, traffic management, crisis response, human interfaces and, military applications. All fourteen chapters represent a broad spread of topics across the domain and highlight how research is being realised to benefit society. Students, professionals and interested observers within the knowledge-based and intelligent information management domain will benefit from the diversity and richness of the content.

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The Handbook on Reasoning-Based Intelligent Systems, 2013

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Intelligent decision technologies, Feb 20, 2024

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Learning and Analytics in Intelligent Systems, 2019

The book at hand constitutes the inaugural volume in the new Springer series on Learning and Anal... more The book at hand constitutes the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at making available a publication of books in hardcopy and soft-copy form on all aspects of learning, analytics and advanced intelligent systems and related technologies. These disciplines are strongly related and complement one another significantly. Thus, the new series encourages a unified/integrated approach to themes and topics in these disciplines which will result in significant cross-fertilization, research advancement and new knowledge creation. To maximize dissemination of research results and knowledge, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. The book at hand is directed towards professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter guides readers to probe further into application areas of interest to them.

Bookmarks Related papers MentionsView impact

Intelligent Systems Reference Library, 2019

This chapter presents a brief description of chapters pertaining to advanced decisions for techni... more This chapter presents a brief description of chapters pertaining to advanced decisions for technical and medical systems. Recent research results in the image and videos processing, transmission, and image analysis are included in Part I, while a wide spectrum of algorithms for medical image processing are included in Part II of this book. Each chapter involves detail practical implementations and explanations.

Bookmarks Related papers MentionsView impact

Intelligent Systems Reference Library, 2016

General tutoring system model, presented in previous chapter, can be used as a skeleton for an im... more General tutoring system model, presented in previous chapter, can be used as a skeleton for an implementation of concrete programming tutoring system. This chapter presents details about implementation of Java programing course based on defined model. Protus 2.1 is a tutoring system designed to provide learners with personalized courses from various domains. It is an interactive system that allows learners to use teaching material prepared for appropriate courses and also includes parts for testing acquired knowledge. In spite of the fact that this system is designed and implemented as a general tutoring system, the first completely implemented and tested version was for an introductory Java programming course. This chapter presents the most important requests for implementation of personalization options in e-learning environments, as well as design, architecture and interface of Protus 2.1 system. Details about previous versions of the system, defined user requirements for the new version of the system, architecture details, as well as general principles for application of defined general tutoring model for implementation of programming course in Protus 2.1 are presented.

Bookmarks Related papers MentionsView impact

Intelligent Systems Reference Library, 2016

Regardless of used methodology, central problem in creating web-based educational systems and tak... more Regardless of used methodology, central problem in creating web-based educational systems and taking benefits from their wide use is the fact that the current approaches are rather inflexible and inefficient. Design of such systems must be directed to allow reuse or sharing of content, knowledge, and functional components of those systems. According to techniques and methodologies presented in previous chapters, it is possible to develop modern personalized educational system and fully use benefits that Semantic Web technologies offer. In this chapter, general tutoring model is presented that allows building the personalized courses from various domains. This chapter presents architecture of a general tutoring system whose components are modelled and implemented using Semantic Web technologies. Presented tutoring system framework offers options to build, organize and update specific learning resources (educational materials, learner profiles, learning path through materials, and so on.).

Bookmarks Related papers MentionsView impact

Intelligent Systems Reference Library, 2016

Collaborative tagging is technique, highly employed in different domains, which is used for autom... more Collaborative tagging is technique, highly employed in different domains, which is used for automatic analysis of users’ preferences and recommendations. To improve recommendation quality, metadata such as content information of items has typically been used as additional knowledge. With the increasing reputation of the collaborative tagging systems, tags could be interesting and provide useful information to enhance algorithms for recommender systems. Besides helping user to organize his/her personal collections, a tag also can be regarded as a user’s personal opinion expression, while tagging can be considered as implicit rating or voting on the tagged information resources or items. The overview, presented in this chapter includes descriptions of content-based recommender systems, collaborative filtering systems, hybrid approach, memory-based and model-based algorithms, features of collaborative tagging that are generally attributed to their success and popularity, as well as a model for tagging activities and tag-based recommender systems.

Bookmarks Related papers MentionsView impact

Intelligent Systems Reference Library, 2016

Implemented Protus 2.1 for Java programming language has been used in real-life educational envir... more Implemented Protus 2.1 for Java programming language has been used in real-life educational environments. The experiments were realized on an educational dataset, consisting of 440 learners, 3rd year undergraduate students of the Department of Information technology at Higher School of Professional Business Studies, University of Novi Sad. The experiment lasted for two semesters. Involved learners were programming beginners that successfully passed the basic computer literacy course at previous semester. They were divided into two groups: the experimental group and the control group. Learners of the control group learned with the previous version of the system and did not receive any recommendation or guidance through the course, while the learners of the experimental group were required to use Protus 2.1 system. Learners from both groups did not take any parallel traditional course and they were required not to use any additional material or help. This chapter highlights the results of the evaluation and discussion of analysis of the results regarding the validity of the tutoring system presented in the previous chapters.

Bookmarks Related papers MentionsView impact

Intelligent Systems Reference Library, 2016

The ultimate goal of developing Protus 2.1 system has been increasing the learning opportunities,... more The ultimate goal of developing Protus 2.1 system has been increasing the learning opportunities, challenges and efficiency. Two important ways of increasing the quality of Protus 2.1 service are to make it intelligent and adaptive. Different techniques need to be implemented to adapt content delivery to individual learners according to their learning characteristics, preferences, styles, and goals. Protus 2.1 provides two general categories of personalization in system based on adaptive hypermedia and recommender systems: content adaptation and adaptation of user interface. Several approaches are used to personalize the material presented to the learner. Programming course in Protus 2.1 offers three types of personalization to each individual learner: (1) use of recommender systems, (2) learning styles personalization and (3) personalization based on resource sequencing. This chapter presents Protus 2.1 functionalities as well as personalization options from the end-user perspective.

Bookmarks Related papers MentionsView impact

Intelligent Systems Reference Library, 2016

In e-learning systems, learners usually does not visit educational materials linearly, but have a... more In e-learning systems, learners usually does not visit educational materials linearly, but have access to different materials via a number of links to other lessons or teaching units. In modern Web-based learning environments, the authors avoid creation of static learning material that is presented to the learner in a linear way, due to the large amount of interdependences and conditional links between the various pages. Often, authors create multiple versions of learning resources so the system can propose to the learner the appropriate one. This leads to the learning concept known as content adaptation. The order of visiting educational material can be influenced by manipulating the hypertext links. This process is called link adaptation. The most popular content and link adaptation techniques used in e-learning environments are presented in this chapter. The chapter also covers basic principles of adaptive educational hypermedia systems.

Bookmarks Related papers MentionsView impact

Smart Innovation, Systems and Technologies, 2016

This book contains a collection of innovative chapters emanating from topics raised during the 5t... more This book contains a collection of innovative chapters emanating from topics raised during the 5th KES International Conference on Intelligent Decision Technologies (IDT), held during 2013 at Sesimbra, Portugal. The authors were invited to expand their original papers into a plethora of innovative chapters espousing IDT methodologies and applications. This book documents leading-edge contributions, representing advances in Knowledge-Based and Intelligent Information and Engineering System. It acknowledges that researchers recognize that society is familiar with modern Advanced Information Processing and increasingly expect richer IDT systems. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications. Anyone that wants to work with IDT or simply process knowledge should consider reading one or more chapters and focus on their technique of choice. Most readers will benefit from reading additional chapters to access alternative technique that often represent alternative approaches. This book is suitable for anyone interested in or already working with IDT or Intelligent Decision Support Systems. It is also suitable for students and researchers seeking to learn more about modern Artificial Intelligence and Computational Intelligence techniques that support decision-making in modern computer systems.

Bookmarks Related papers MentionsView impact

The interdisciplinary field of smart digital systems is crucial to modern computer science, encom... more The interdisciplinary field of smart digital systems is crucial to modern computer science, encompassing artificial intelligence, information systems and engineering. For over a decade, the mission of KES International has been to provide publication opportunities for all those who work in knowledge intensive subjects. The conferences they run worldwide are aimed at facilitating the dissemination, transfer, sharing and brokerage of knowledge in a number of leading edge technologies. This book presents some 80 papers selected after peer review for inclusion in three KES conferences, held as part of the Smart Digital Futures 2014 (SDF-14) multi-theme conference in Chania, Greece, in June 2014. The three conferences are: Intelligent Decision Technologies (KES-IDT-14), Intelligence Interactive Multimedia Systems and Services (KES-IIMSS-14), and Smart Technology-based Education and Training (KES-STET-14). The book will be of interest to all those whose work involves the development and application of intelligent digital systems.

Bookmarks Related papers MentionsView impact

Intelligent Systems Reference Library, 2013

Bookmarks Related papers MentionsView impact

Intelligent Decision Technologies

Artificial Intelligence research is presenting phenomenal progress in two directions: (i) new the... more Artificial Intelligence research is presenting phenomenal progress in two directions: (i) new theories and methodologies, and (ii) applications that expand traditional domains with innovative interventions. As indicated by recent reports, this progress has created a disequilibrium, where demand for scientists with skills in Artificial Intelligence is not fulfilled, a trend that will intensify further in the years to come. A potential solution to this shortage of specialised workforce may come from encouraging more women to get educated and follow a career in one of the Artificial Intelligence areas. This special collection of invited papers is dedicated to all women researchers and practitioners in Artificial Intelligence and coincides with the March 8, 2023 International Women’s Day. Moreover, it has two specific goals: (i) to inspire more women to study and practice Artificial Intelligence through presentation of recognized women researchers who can act as role models, and (ii) to...

Bookmarks Related papers MentionsView impact

1999 European Control Conference (ECC), 1999

Based on he first systematic approach to fuzzy speech production modeling, we demonstrate the eff... more Based on he first systematic approach to fuzzy speech production modeling, we demonstrate the effectiveness of the fuzzy control for speech signal generation. The control is designed in the sense of supporting specific speech variability, as described by "classical" knowledge base (and fuzzified by us) about the phenomenon of speech production.

Bookmarks Related papers MentionsView impact

The Psychological Basis of Cognitive Modeling.- Parallel and Distributed Logic Programming.- Dist... more The Psychological Basis of Cognitive Modeling.- Parallel and Distributed Logic Programming.- Distributed Reasoning by Fuzzy Petri Nets: A Review.- Belief Propagation and Belief Revision Models in Fuzzy Petri Nets.- Building Expert Systems Using Fuzzy Petri Nets.- Distributed Learning Using Fuzzy Cognitive Maps.- Unsupervised Learning by Fuzzy Petri Nets.- Supervised Learning by a Fuzzy Petri Net.- Distributed Modeling of Abduction, Reciprocity, and Duality by Fuzzy Petri Nets.- Human Mood Detection and Control: A Cybernetic Approach.- Distributed Planning and Multi-agent Coordination of Robots.

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The chapter contains a brief description of chapters that contribute to the development and appli... more The chapter contains a brief description of chapters that contribute to the development and applications of computational methods and parallel algorithms in different areas of gas dynamics, aerodynamics, hydrodynamics, turbulence, solids dynamic, dynamic systems, optimal control. The first part presents the recent advances in computational fluid dynamics and aerodynamics. The second part introduces a numerical simulation of multiphase flows, combustion, and detonation. The third part is devoted to computational solid mechanics, and the fourth part provides a numerical study of dynamic systems.

Bookmarks Related papers MentionsView impact

Advances in Data Science: Methodologies and Applications, 2020

Bookmarks Related papers MentionsView impact

International Journal of Advanced Intelligence Paradigms, 2017

Bookmarks Related papers MentionsView impact

Intelligent Decision Technology Support in Practice, 2015

A succession of data-bases, Advanced Information Processing (AIP) and Intelligent Decision-Making... more A succession of data-bases, Advanced Information Processing (AIP) and Intelligent Decision-Making Technologies (IDT) have evolved rapidly over the past five decades. This cumulative evolution of Intelligent Decision Support Systems (IDSSs) has served to stimulate industrial activity and enhanced the lives of most people that the modern world. This publication highlights a series of current contributions to enhance the collective body of knowledge. Artificial Intelligence (AI) and Computational Intelligence (CI) techniques continue to be successfully employed to generate human-like decision-making, while simultaneously providing greater access to information to solve data intensive problems. This book documents innovative contributions that represent advances in Knowledge-Based and Intelligent Information and Engineering Systems. New research recognises that society is familiar with modern AIP and increasingly expect richer IDT systems. Today there is a growing reliance on automatically processing information into knowledge with less human input. Society has already digitised its past and continues to progressively automate knowledge management for the future and increasingly expect to access this information using mobile devices. This book seeks to inform and enhance the exposure of research on intelligent systems and intelligence technologies that utilize novel and leading-edge techniques to improve decision-making. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications. These approaches have the potential to support decision making in the areas of management, international business, finance, accounting, marketing, healthcare, production, networks, traffic management, crisis response, human interfaces and, military applications. All fourteen chapters represent a broad spread of topics across the domain and highlight how research is being realised to benefit society. Students, professionals and interested observers within the knowledge-based and intelligent information management domain will benefit from the diversity and richness of the content.

Bookmarks Related papers MentionsView impact

The Handbook on Reasoning-Based Intelligent Systems, 2013

Bookmarks Related papers MentionsView impact