Journals in Artificial intelligence expert systems and knowledge based systems

AI Open

ISSN: 2666-6510

AI Open is a freely accessible platform to share actionable knowledge and forward-thinking perspectives on the theory of artificial intelligence and its applications. The journal welcomes research articles, review papers, perspectives, short communications and technical notes on all aspects of artificial intelligence and its applications.Topics covered include, but are not limited to:Deep learning and representation learningGraph theory and graph miningConstraints, satisfiability, and searchKnowledge representation, reasoning, and logicMachine learning and data miningKnowledge graph and applicationsAgent-based and multi-agent systemsWeb and knowledge-based information systemsNatural language processingImage processing and analysisUncertaintyBrain-based LearningImplicit Cognition and LearningEditorial Board

Artificial Intelligence

ISSN: 0004-3702
5 Year impact factor: 4.8
Impact factor: 5.1

The journal of Artificial Intelligence (AIJ) welcomes papers on broad aspects of AI that constitute advances in the overall field including, but not limited to, cognition and AI, automated reasoning and inference, case-based reasoning, commonsense reasoning, computer vision, constraint processing, ethical AI, heuristic search, human interfaces, intelligent robotics, knowledge representation, machine learning, multi-agent systems, natural language processing, planning and action, and reasoning under uncertainty. The journal reports results achieved in addition to proposals for new ways of looking at AI problems, both of which must include demonstrations of value and effectiveness.Papers describing applications of AI are also welcome, but the focus should be on how new and novel AI methods advance performance in application areas, rather than a presentation of yet another application of conventional AI methods. Papers on applications should describe a principled solution, emphasize its novelty, and present an indepth evaluation of the AI techniques being exploited.Apart from regular papers, the journal also accepts Research Notes, Research Field Reviews, Position Papers, and Book Reviews (see details below). The journal will also consider summary papers that describe challenges and competitions from various areas of AI. Such papers should motivate and describe the competition design as well as report and interpret competition results, with an emphasis on insights that are of value beyond the competition (series) itself.From time to time, there are special issues devoted to a particular topic. Such special issues must always have open calls-for-papers. Guidance on the submission of proposals for special issues, as well as other material for authors and reviewers can be found at http://aij.ijcai.org/special-issues.Types of PapersRegular PapersAIJ welcomes basic and applied papers describing mature, complete, and novel research that articulate methods for, and provide insight into artificial intelligence and the production of artificial intelligent systems. The question of whether a paper is mature, complete and novel is ultimately determined by reviewers and editors on a case-bycase basis. Generally, a paper should include a convincing motivational discussion, articulate the relevance of the research to Artificial Intelligence, clarify what is new and different, anticipate the scientific impact of the work, include all relevant proofs and/or experimental data, and provide a thorough discussion of connections with the existing literature. A prerequisite for the novelty of a paper is that the results it describes have not been previously published by other authors and have not been previously published by the same authors in any archival journal. In particular, a previous conference publication by the same authors does not disqualify a submission on the grounds of novelty. However, it is rarely the case that conference papers satisfy the completeness criterion without further elaboration. Indeed, even prize-winning papers from major conferences often undergo major revision following referee comments, before being accepted to AIJ.AIJ caters to a broad readership. Papers that are heavily mathematical in content are welcome but should include a less technical high-level motivation and introduction that is accessible to a wide audience and explanatory commentary throughout the paper. Papers that are only purely mathematical in nature, without demonstrated applicability to artificial intelligence problems may be returned. A discussion of the work's implications on the production of artificial intelligent systems is normally expected.There is no restriction on the length of submitted manuscripts. However, authors should note that publication of lengthy papers, typically greater than forty pages, is often significantly delayed, as the length of the paper acts as a disincentive to the reviewer to undertake the review process. Unedited theses are acceptable only in exceptional circumstances. Editing a thesis into a journal article is the author's responsibility, not the reviewers'.Research NotesThe Research Notes section of the Journal of Artificial Intelligence will provide a forum for short communications that cannot fit within the other paper categories. The maximum length should not exceed 4500 words (typically a paper with 5 to 14 pages). Some examples of suitable Research Notes include, but are not limited to the following: crisp and highly focused technical research aimed at other specialists; a detailed exposition of a relevant theorem or an experimental result; an erratum note that addresses and revises earlier results appearing in the journal; an extension or addendum to an earlier published paper that presents additional experimental or theoretical results.ReviewsThe AIJ invests significant effort in assessing and publishing scholarly papers that provide broad and principled reviews of important existing and emerging research areas, reviews of topical and timely books related to AI, and substantial, but perhaps controversial position papers (so-called "Turing Tape" papers) that articulate scientific or social issues of interest in the AI research community.Research Field Reviews: AIJ expects broad coverage of an established or emerging research area, and the articulation of a comprehensive framework that demonstrates the role of existing results, and synthesizes a position on the potential value and possible new research directions. A list of papers in an area, coupled with a summary of their contributions is not sufficient. Overall, a field review article must provide a scholarly overview that facilitates deeper understanding of a research area. The selection of work covered in a field article should be based on clearly stated, rational criteria that are acceptable to the respective research community within AI; it must be free from personal or idiosyncratic bias.Research Field Reviews are by invitation only, where authors can then submit a 2-page proposal of a Research Field Review for confirmation by the special editors. The 2-page proposal should include a convincing motivational discussion, articulate the relevance of the research to artificial intelligence, clarify what is new and different from other surveys available in the literature, anticipate the scientific impact of the proposed work, and provide evidence that authors are authoritative researchers in the area of the proposed Research Field Review. Upon confirmation of the 2-page proposal, the full Invited Research Field Reviews can then be submitted and then undergoes the same review process as regular papers.Book Reviews: We seek reviewers for books received, and suggestions for books to be reviewed. In the case of the former, the review editors solicit reviews from researchers assessed to be expert in the field of the book. In the case of the latter, the review editors can either assess the relevance of a particular suggestion, or even arrange for the refereeing of a submitted draft review.Position Papers: The last review category, named in honour of Alan Turing as a "Turing Tapes" section of AIJ, seeks clearly written and scholarly papers on potentially controversial topics, whose authors present professional and mature positions on all variety of methodological, scientific, and social aspects of AI. Turing Tape papers typically provide more personal perspectives on important issues, with the intent to catalyze scholarly discussion.Turing Tape papers are by invitation only, where authors can then submit a 2-page proposal of a Turing Tape paper for confirmation by the special editors. The 2-page proposal should include a convincing motivational discussion, articulate the relevance to artificial intelligence, clarify the originality of the position, and provide evidence that authors are authoritative researchers in the area on which they are expressing the position. Upon confirmation of the 2-page proposal, the full Turing Tape paper can then be submitted and then undergoes the same review process as regular papers.Competition PapersCompetitions between AI systems are now well established (e.g. in speech and language, planning, auctions, games, to name a few). The scientific contributions associated with the systems entered in these competitions are routinely submitted as research papers to conferences and journals. However, it has been more difficult to find suitable venues for papers summarizing the objectives, results, and major innovations of a competition. For this purpose, AIJ has established the category of competition summary papers.Competition Paper submissions should describe the competition, its criteria, why it is interesting to the AI research community, the results (including how they compare to previous rounds, if appropriate), in addition to giving a summary of the main technical contributions to the field manifested in systems participating in the competition. Papers may be supplemented by online appendices giving details of participants, problem statements, test scores, and even competition-related software.Although Competition Papers serve as an archival record of a competition, it is critical that they make clear why the competition's problems are relevant to continued progress in the area, what progress has been made since the previous competition, if applicable, and what were the most significant technical advances reflected in the competition results. The exposition should be accessible to a broad AI audience.

Artificial Intelligence in Medicine

ISSN: 0933-3657
5 Year impact factor: 7.1
Impact factor: 6.1

Artificial Intelligence in Medicine publishes original articles from a wide variety of interdisciplinary perspectives concerning the theory and practice of artificial intelligence (AI) in medicine, medically-oriented human biology, and health care.Artificial intelligence in medicine may be characterized as the scientific discipline pertaining to research studies, projects, and applications that aim at supporting decision-based medical tasks through knowledge- and/or data-intensive computer-based solutions that ultimately support and improve the performance of a human care provider.Artificial Intelligence in Medicine considers for publication manuscripts that have both:• Potential high impact in some medical or healthcare domain; • Strong novelty of method and theory related to AI and computer science techniques.Artificial Intelligence in Medicine papers must refer to real-world medical domains, considered and discussed at the proper depth, from both the technical and the medical points of view. The inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly recommended.Artificial Intelligence in Medicine is looking for novelty in the methodological and/or theoretical content of submitted papers. Such kind of novelty has to be mainly acknowledged in the area of AI and Computer Science. Methodological papers deal with the proposal of some strategy and related methods to solve some scientific issues in specific domains. They must show, usually through an experimental evaluation, how the proposed methodology can be applied to medicine, medically-oriented human biology, and health care, respectively. They have also to provide a comparison with other proposals, and explicitly discuss elements of novelty. Theoretical papers focus on more fundamental, general and formal topics of AI and must show the novel expected effects of the proposed solution in some medical or healthcare field.Following the information explosion brought by the diffusion of Internet, social networks, cloud computing, and big-data platforms, Artificial Intelligence in Medicine has broadened its perspective. Particular attention is given to novel research work pertaining to:AI-based clinical decision making;Medical knowledge engineering;Knowledge-based and agent-based systems;Computational intelligence in bio- and clinical medicine;Intelligent and process-aware information systems in healthcare and medicine;Natural language processing in medicine;Data analytics and mining for biomedical decision support;New computational platforms and models for biomedicine;Intelligent exploitation of heterogeneous data sources aimed at supporting decision-based and data-intensive clinical tasks;Intelligent devices and instruments;Automated reasoning and meta-reasoning in medicine;Machine learning in medicine, medically-oriented human biology, and healthcare;AI and data science in medicine, medically-oriented human biology, and healthcare;AI-based modeling and management of healthcare pathways and clinical guidelines;Models and systems for AI-based population health;AI in medical and healthcare education;Methodological, philosophical, ethical, and social issues of AI in healthcare, medically-oriented human biology, and medicine.If you are considering submitting to Artificial Intelligence in Medicine, make sure that your paper meets the quality requirements mentioned above. English exposition must also be clear and revised with due care. Authors are kindly requested to revise their manuscripts with the help of co-authors that are fluent in English or language editing services before submitting their contribution. Papers written in poor English are likely to be rejected.The mere application of well-known or already published algorithms and techniques to medical data is not regarded as original research work of interest for Artificial Intelligence in Medicine, but it may be suitable for other venues.Artificial Intelligence in Medicine features the following kinds of papers:Original research contributions: Theoretical and/or methodological papers about novel approaches;Methodological reviews/surveys: Papers that collect, classify, describe, and critically analyze research designs, methods and procedures;Position papers: Papers that gather, describe, and analyze the scientific challenges of a specific field, founding them on the related literature;Editorials: Editors will occasionally publish editorials;Guest editorials: Editors can invite guest editors of special issues to publish editorials. Unsolicited editorials will not be considered;Letters to the editor: Letters from readers shortly discussing and commenting on a topic of interest, for example based on recently published articles in the journal Artificial Intelligence in Medicine;Book reviews: A critical review of recently published books;Erratum: Some specific corrections to results previously published in the journal Artificial Intelligence in Medicine;Historical perspectives: Papers that describe and critically review some specific aspects in the history of scientific contributions and applications;In memoriam: Papers describing the life and the main scientific contributions of scientists passed away, having had an important role in the area of artificial intelligence in medicine;PhD projects: Early publications about more recent research trends, having the goal of allowing PhD candidates to explain their PhD research project and to share it with other scientists interested in the topic. Such type of papers should focus on the overall goals and approaches of PhD research projects, without considering in detail the specific scientific results obtained, which would be the focus of other research articles.Special Issues are regularly published and included among regular issues. Artificial Intelligence in Medicine special issues deal with current theoretical/methodological research or convincing applications related to AI in medicine. Special Issues are managed by one or more guest editors who are outstanding experts on the selected topic.Special Issues of Artificial Intelligence in Medicine are directly proposed to potential guest editors by the Editor in Chief, also according to suggestions from the editorial board members."External" proposals of Special Issues will no longer be considered.Artificial Intelligence in Medicine does not publish conference volumes or conference papers. However, selected and high-quality research results presented earlier at conferences may be published in Artificial Intelligence in Medicine, in the form of a thoroughly revised (rephrased) and extended (including new research results) original research paper.Information for authors and further details about the editorial process can be found in the Guide for Authors section of the Artificial Intelligence in Medicine web page.

Cognition

ISSN: 0010-0277
5 Year impact factor: 3.5
Impact factor: 2.8

International Journal of Cognitive ScienceCognition is an international journal that publishes theoretical and experimental papers on the study of the mind. It covers a wide variety of subjects concerning all the different aspects of cognition, ranging from experimental studies of behavior and of the brain to formal analysis.Papers will be selected on the basis of their scientific quality, their degree of innovation and their unambiguous theoretical advance to the study of cognition. Paper's overall soundness of the argument and degree of empirical motivation, especially from converging sources, are more important than adherence to specific methodological principles. Studies that selectively focus on the cognitive and neural mechanisms that underlie problems with cognition in clinical populations or on purely methodological questions fall outside the scope of Cognition. Because Cognition enjoys a wide readership from many disciplines, authors should explicitly consider the general theoretical issues raised by their work and its relevance to other topics and methods. Materials should describe work done and methods used in a clear and explicit manner (allowing reproduction of the methods by others).Cognition occasionally publishes special issues devoted to a research area that has seen rapid recent progress, promising new approaches, and convergence among different disciplines.Contributions: • Full theoretical and experimental papers on the study of the mind. •Short Communications reporting original empirical findings, major theoretical advances or crucial developments that warrant rapid communication to the scientific community •Proposals for special issues on a new and important area in the field •DiscussionsReviewers please refer to Editorial Policy on Reviewing for Cognition.Cognition publishes many of the most important papers in cognitive science and is the premier international and interdisciplinary journal in the field. It is required reading for anyone who wishes to keep up to date in this exciting research area.

Cognitive Systems Research

ISSN: 1389-0417
5 Year impact factor: 3
Impact factor: 2.1

Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition.Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies. Note that the journal does not publish clinical and medical papers. We also do not publish pure machine learning papers, e.g. studies proposing variants of classifiers or pure algorithmic improvements that bear no connection to cognitive systems research in the sense above.Additionally, Cognitive Systems Research plays a special role in fostering and promoting the 'BICA Challenge' to create a real-life computational equivalent of the human mind by devoting two special issues to BICA AI (Brain-Inspired Cognitive Architectures for Artificial Intelligence) related topics each year.

Computers & Electrical Engineering

ISSN: 0045-7906
5 Year impact factor: 3.8
Impact factor: 4

The journal Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and communication and information systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like:Signal ProcessingPower Engineering (including renewable and green energies)Artificial Intelligence - methods and applicationsSecurityPrivacyCommunicationThe journal regularly publishes special sections covering specific topics of interest. Proposals for special sections should be submitted to the Editor-in-Chief. The list of current special sections can be found at https://www.sciencedirect.com/journal/computers-and-electrical-engineering/special-issues.Contributions should be submitted online following the guidelines in the Guide for Authors.

Computers in Industry

ISSN: 0166-3615
5 Year impact factor: 9.3
Impact factor: 8.2

An International, Application Oriented Research JournalThe aim of Computers in Industry is to publish original, high-quality, application-oriented research papers that:• Show new trends in and options for the use of Information and Communication Technology in industry; • Link or integrate different technology fields in the broad area of computer applications for industry; • Link or integrate different application areas of ICT in industry.General topics covered include the following areas:• The unique application of ICT in business processes such as design, engineering, manufacturing, purchasing, physical distribution, production management and supply chain management. This is the main thrust of the journal. It includes research in integration of business process support, such as in enterprise modelling, ERP, EDM. • The industrial use of ICT in knowledge intensive fields such as quality control, logistics, engineering data management, and product documentation will certainly be considered. • Demonstration of enabling capabilities of new or existing technologies such as hard real time systems, knowledge engineering, applied fuzzy logic, collaborative work systems, and intelligence agents are also welcomed. • Papers solely focusing on ICT or manufacturing processes may be considered out of scope.A continuous quality policy, based on strict peer reviewing shall ensure that published articles are:- Technologically outstanding and front-end - Application-oriented with a generalised message - Representative for research at an international levelBenefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

Control Engineering Practice

ISSN: 0967-0661
5 Year impact factor: 4.5
Impact factor: 5.4

A Journal of IFAC, the International Federation of Automatic ControlControl Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice's sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.The scope of Control Engineering Practice matches the activities of IFAC.Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.Fields of applications in control and automation: •Automotive Systems •Aerospace Applications •Marine Systems •Intelligent Transportation Systems and Traffic Control •Autonomous Vehicles •Robotics •Human Machine Systems •Mechatronic Systems •Scientific Instrumentation •Micro- and Nanosystems •Fluid Power Systems •Gas Turbines and Fluid Machinery •Machine Tools •Manufacturing Technology and Production Engineering •Logistics •Power Electronics •Electrical Drives •Internet of Things •Communication Systems •Power and Energy Systems •Biomedical Engineering and Medical Applications •Biosystems and Bioprocesses •Biotechnology •Chemical Engineering •Pulp and Paper Processing •Mining, Mineral and Metal Processing •Water/Gas/Oil Reticulation Systems •Environmental Engineering •Agricultural Systems •Food Engineering •Other Emerging Control ApplicationsApplicable methods, theories and technologies: •Modeling, Simulation and Experimental Model Validation •System Identification and Parameter Estimation •Observer Design and State Estimation •Soft Sensing •Sensor Fusion •Optimization •Adaptive and Robust Control •Learning Control •Nonlinear Control •Control of Distributed-Parameter Systems •Model-based Control Techniques •Optimal Control and Model Predictive Control •Controller Tuning •PID Control •Feedforward Control and Trajectory Planning •Networked Control •Stochastic Systems •Fault Detection and Isolation •Diagnosis and Supervision •Actuator and Sensor Design •Measurement Technology in Control •Software Engineering Techniques •Real-time and Distributed Computing •Intelligent Components and Instruments •Architectures and Algorithms for Control •Real-time Algorithms •Computer-aided Systems Analysis and Design •Implementation of Automation Systems •Machine Learning •Artificial Intelligence Techniques •Discrete Event and Hybrid Systems •Production Planning and Scheduling •Automation •Data Mining •Data Analytic •Performance Monitoring •Experimental Design •Other Emerging Control Theories and Related Technologies

Engineering Applications of Artificial Intelligence

ISSN: 0952-1976
5 Year impact factor: 7.4
Impact factor: 7.5

A journal of IFAC, the International Federation of Automatic Control Artificial Intelligence (AI) is playing a major role in the fourth industrial revolution and we are seeing a lot of evolution in various machine learning methodologies. AI techniques are widely used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering. Submitted papers should report some novel aspects of AI used for a real world engineering application and also validated using some public data sets for easy replicability of the research results.Papers which do not respect the 4 following conditions will be desk-rejected without being sent to reviewers:Papers on new metaphor-based metaheuristics are very rarely accepted by EAAI (see details on this in the guide online).The abstract should clearly specify which is the contribution in AI and which is the application in engineering.The use of undefined acronyms in the title and in the abstract is forbidden.The papers must be formatted in single-column format.Focal points of the journal include, but are not limited to innovative applications of:Internet–of–things and cyber-physical systemsIntelligent transportation systems & smart vehiclesBig data analytics, understanding complex networksNeural networks, fuzzy systems, neuro-fuzzy systemsDeep learning and real world applicationsSelf-organizing, emerging or bio-inspired systemGlobal optimization, Meta-heuristics and their applications: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired meta-heuristics, etc.Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic controlDecision-support systemsAspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoningApplications of chaos theory and fractalsReal-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informaticsKnowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systemsPerception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesisAspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliabilityIntelligent fault detection, fault analysis, diagnostics and monitoringIndustrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercisesRoboticsEngineering Applications of Artificial Intelligence publishes:Survey papers/tutorialsContributed papers — detailed expositions of new research or applicationsCase studies or software reviews — evaluative and descriptive reviews of existing available AI software systems, discussing the experience gained and lessons learnt from using or developing AI systems for engineering applicationsIFAC EAAI Forum — problems arising from engineering practice, needing to be solved by somebody; solutions to problems discussed in this forum or elsewhere; critiques of a position or claim found in the literatureThe Editors of Engineering Applications of Artificial Intelligence wish to inform authors that this journal will not publish papers that propose "novel" metaphor-based metaheuristics, unless the authors: present their method using the normal, standard optimization terminology;show that the new method brings useful and novel concepts to the field;motivate the use of the metaphor on a sound, scientific basis;present a fair comparison with other state-of-the-art methods using state-of-the-art practices for benchmarking algorithms.For more details on the International Federation of Automatic Control (IFAC), visit their home page at http://www.ifac-control.orgSoftware publicationWe invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.For more information contact us at: [email protected]

Expert Systems with Applications

ISSN: 0957-4174
5 Year impact factor: 7.6
Impact factor: 7.5

Expert Systems With Applications is a refereed international journal whose focus is on exchanging information relating to expert and intelligent systems applied in industry, government, and universities worldwide. The thrust of the journal is to publish original papers dealing with the design, development, testing, implementation, and/or management of expert and intelligent systems, and also to provide practical guidelines in the development and management of these systems. The journal will publish papers in expert and intelligent systems technology and application in the areas of, but not limited to: finance, accounting, engineering, marketing, auditing, law, procurement and contracting, project management, risk assessment, information management, information retrieval, crisis management, stock trading, strategic management, network management, telecommunications, space education, intelligent front ends, intelligent database management systems, medicine, chemistry, human resources management, human capital, business, production management, archaeology, economics and energy. Papers in multi-agent systems, knowledge management, neural networks, knowledge discovery, data and text mining, multimedia mining, and genetic algorithms will also be published in the journal. The journal no longer considers papers that contain applications to military/defense systems.Papers detailing algorithms which repurpose existing concepts within the framework of metaphors inspired by various systems and processes, such as natural, technical, or social ones are discouraged as this can hinder effective algorithm comparisons and scientific advancement. Submissions from this field are required to convincingly demonstrate their contribution to the field in order to be considered for further evaluation. Authors are urged to present their methods with clarity, employing standard optimization terminology, and to provide compelling explanations for how their components are adapted to specific problem-solving contexts. The emphasis is on genuine innovation rather than the renaming of existing concepts.Natural metaphor articles - new nature-inspired proposals detailed in papers must provide formal, mathematically grounded explanations for how they differ from established methods and the use of metaphors as superficial embellishments is discouraged.Software PublicationWe invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.

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