中文簡介

信息科學(xué)將發(fā)表原創(chuàng)、創(chuàng)新和創(chuàng)新的研究成果。少量及時的指導(dǎo)和測量貢獻(xiàn)將不時公布。該雜志旨在為研究人員、開發(fā)人員、管理人員、戰(zhàn)略規(guī)劃人員、研究生和其他對信息、知識工程和智能系統(tǒng)的最新研究活動感興趣的人提供服務(wù)。讀者被認(rèn)為對信息科學(xué)有共同的興趣，但他們在工程學(xué)、數(shù)學(xué)、統(tǒng)計學(xué)、物理學(xué)、計算機(jī)科學(xué)、細(xì)胞生物學(xué)、分子生物學(xué)、管理科學(xué)、認(rèn)知科學(xué)、神經(jīng)生物學(xué)、行為科學(xué)和生物化學(xué)等領(lǐng)域具有不同的背景。該雜志發(fā)表高質(zhì)量的參考文章。它強(qiáng)調(diào)理論和實(shí)踐的平衡覆蓋。它充分承認(rèn)并生動地促進(jìn)了信息科學(xué)學(xué)科的廣泛發(fā)展。主題包括：信息科學(xué)基礎(chǔ)：信息論、數(shù)學(xué)語言學(xué)、自動機(jī)理論、認(rèn)知科學(xué)、定性行為理論、人工智能、計算智能、軟計算、符號學(xué)、計算生物學(xué)和生物信息學(xué)。實(shí)施和信息技術(shù)：智能系統(tǒng)、遺傳算法和建模、模糊邏輯和近似推理、人工神經(jīng)網(wǎng)絡(luò)、專家和決策支持系統(tǒng)、學(xué)習(xí)和進(jìn)化計算、專家和決策支持系統(tǒng)、學(xué)習(xí)和進(jìn)化計算、生物特征學(xué)、分子納米計算、自適應(yīng)和自組織系統(tǒng)系統(tǒng)、數(shù)據(jù)工程、數(shù)據(jù)融合、信息和知識、自適應(yīng)AD監(jiān)控、離散事件系統(tǒng)、符號/數(shù)字和統(tǒng)計技術(shù)、感知和模式識別、算法設(shè)計、軟件設(shè)計、計算機(jī)系統(tǒng)和體系結(jié)構(gòu)評估和工具、人機(jī)界面、計算機(jī)通信論網(wǎng)絡(luò)與文字建模與計算應(yīng)用：制造、自動化和移動機(jī)器人、虛擬現(xiàn)實(shí)、圖像處理和計算機(jī)視覺系統(tǒng)、光子學(xué)網(wǎng)絡(luò)、基因組學(xué)和生物信息學(xué)、大腦繪圖、語言和搜索引擎設(shè)計、用戶友好的人機(jī)界面、數(shù)據(jù)壓縮和文本提取和總結(jié)、虛擬現(xiàn)實(shí)、金融和經(jīng)濟(jì)建模和優(yōu)化可通過wpedrycz@ualberta.ca聯(lián)系總編輯witold pedrycz。

投稿網(wǎng)址：http://ees.elsevier.com/ins/

英文簡介

Information Sciences will publish original, innovative and creative research results. A smaller number of timely tutorial and surveying contributions will be published from time to time.The journal is designed to serve researchers, developers, managers, strategic planners, graduate students and others interested in state-of-the art research activities in information, knowledge engineering and intelligent systems. Readers are assumed to have a common interest in information science, but with diverse backgrounds in fields such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioural sciences and biochemistry.The journal publishes high-quality, refereed articles. It emphasizes a balanced coverage of both theory and practice. It fully acknowledges and vividly promotes a breadth of the discipline of Informations Sciences.Topics include:Foundations of Information Science:Information Theory, Mathematical Linguistics, Automata Theory, Cognitive Science, Theories of Qualitative Behaviour, Artificial Intelligence, Computational Intelligence, Soft Computing, Semiotics, Computational Biology and Bio-informatics.Implementations and Information Technology:Intelligent Systems, Genetic Algorithms and Modelling, Fuzzy Logic and Approximate Reasoning, Artificial Neural Networks, Expert and Decision Support Systems, Learning and Evolutionary Computing, Expert and Decision Support Systems, Learning and Evolutionary Computing, Biometrics, Moleculoid Nanocomputing, Self-adaptation and Self-organisational Systems, Data Engineering, Data Fusion, Information and Knowledge, Adaptive ad Supervisory Control, Discrete Event Systems, Symbolic / Numeric and Statistical Techniques, Perceptions and Pattern Recognition, Design of Algorithms, Software Design, Computer Systems and Architecture Evaluations and Tools, Human-Computer Interface, Computer Communication Networks and Modelling and Computing with WordsApplications:Manufacturing, Automation and Mobile Robots, Virtual Reality, Image Processing and Computer Vision Systems, Photonics Networks, Genomics and Bioinformatics, Brain Mapping, Language and Search Engine Design, User-friendly Man Machine Interface, Data Compression and Text Abstraction and Summarization, Virtual Reality, Finance and Economics Modelling and OptimisationEditor-in-Chief Witold Pedrycz can be reached at wpedrycz@ualberta.ca.