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Computer Science Journals Catalogue - Taylor & Francis

Computer Science Journals Catalogue - Taylor & Francis

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Argument & Computation<br />

Editors: Chris Reed, University of Dundee, UK,<br />

Floriana Grasso, University of Liverpool, UK,<br />

Iyad Rahwan, Masdar Institute of <strong>Science</strong> &<br />

Technology, UAE and Massachusetts Institute of<br />

Technology, USA and Guillermo Simari, University<br />

Nacional del Sur, Argentina<br />

Print ISSN 1946-2166 • Online ISSN 1946-2174<br />

Argument & Computation aims to promote the<br />

interaction and crossfertilisation between the<br />

fields of argumentation theory and computer<br />

science. It will be of interest to researchers in<br />

the fields of artificial intelligence, multi-agent<br />

systems, computer science, logic, philosophy,<br />

argumentation theory, psychology, cognitive<br />

science, game theory and economics. The<br />

journal will accept full articles, describing<br />

novel theoretical or applied research in any<br />

of the areas of interest; reviews, condensing<br />

and critiquing an appropriate subfield of<br />

research; system descriptions, focusing on<br />

implementations (typically offering online<br />

access or downloadable code) and letters,<br />

providing pithy polemic on burning issues.<br />

www.tandf.co.uk/journals/tarc<br />

Applied Artificial<br />

Intelligence<br />

Editor-in-Chief: Robert Trappl, Austrian Research<br />

Institute for Artificial Intelligence, Austria<br />

Print ISSN 0883-9514 • Online ISSN 1087-6545<br />

Published in cooperation with the Austrian<br />

Society for Cybernetic Studies, Applied<br />

Artificial Intelligence addresses concerns in<br />

applied research and applications of artificial<br />

intelligence (AI). The journal also acts as a<br />

medium for exchanging ideas and thoughts<br />

about impacts of AI research. Articles highlight<br />

advances in uses of AI systems for solving<br />

tasks in management, industry, engineering,<br />

administration, and education; evaluations of<br />

existing AI systems and tools, emphasizing<br />

comparative studies and user experiences; and<br />

the economic, social, and cultural impacts of AI.<br />

www.tandf.co.uk/journals/uaai<br />

Behaviour & Information<br />

Technology<br />

Editor-in-Chief: Ahmet Cakir, ERGONOMIC<br />

Institute, Germany<br />

Print ISSN 0144-929X • Online ISSN 1362-3001<br />

Behaviour & Information Technology (BIT)<br />

focuses on the human aspects of information<br />

technology, on which much of our developed<br />

world depends. Information technology<br />

extends beyond the internet and World Wide<br />

Web, and powers telecommunications (both<br />

mobile and fixed), office and industrial systems,<br />

consumer products and entertainment. BIT<br />

reports original research studies and proactive<br />

articles on the design, development, use and<br />

impact of this technology in all its forms and<br />

in all its applications. Papers are fully refereed<br />

and come from a variety of disciplines,<br />

including psychology, ergonomics, computer<br />

science, sociology and management. The<br />

Journal attracts a diverse, international<br />

readership from researchers in universities and<br />

industry, to systems designers and managers.<br />

www.tandf.co.uk/journals/tbit<br />

<strong>Computer</strong> Assisted<br />

Language Learning<br />

Editor: Jozef Colpaert, University of Antwerp,<br />

Belgium<br />

Print ISSN 0958-8221 • Online ISSN 1744-3210<br />

<strong>Computer</strong> Assisted Language Learning (CALL)<br />

is an intercontinental and interdisciplinary<br />

journal which leads the field in its dedication<br />

to all matters associated with the use of<br />

computers in language learning (L1 and L2),<br />

teaching and testing. It provides a forum to<br />

discuss the discoveries in the field and to<br />

exchange experience and information about<br />

existing techniques. The scope of the journal<br />

is intentionally wide-ranging and embraces a<br />

multitude of disciplines.<br />

www.tandf.co.uk/journals/call<br />

<strong>Computer</strong> Methods<br />

in Biomechanics and<br />

Biomedical Engineering<br />

Endorsed by the European Society of Biomechanics<br />

Editors: John Middleton, Cardiff University School<br />

of Dentistry, UK and Christopher R. Jacobs,<br />

Columbia University, USA<br />

Print ISSN 1025-5842 • Online ISSN 1476-8259<br />

The primary aims of the journal are to provide<br />

a means of communicating the advances<br />

being made in the areas of biomechanics and<br />

biomedical engineering, and to stimulate interest<br />

in the continually emerging computer based<br />

technologies which are being applied in these<br />

multidisciplinary subjects. The journal also<br />

provides a focus for the importance of integrating<br />

the disciplines of engineering with medical<br />

technology and clinical expertise, which will have<br />

a major impact on health care in the future.<br />

www.tandf.co.uk/journals/gcmb<br />

<strong>Computer</strong> <strong>Science</strong><br />

Education<br />

Editors: Sally Fincher, University of Kent, UK and<br />

Laurie Murphy, Pacific Lutheran University, USA<br />

Print ISSN 0899-3408 • Online ISSN 1744-5175<br />

<strong>Computer</strong> <strong>Science</strong> Education aims to publish<br />

high-quality papers with a specific focus on<br />

teaching and learning within the computing<br />

discipline that are accessible and of interest to<br />

educators, researchers, and practitioners alike.<br />

www.tandf.co.uk/journals/cse<br />

Connection <strong>Science</strong><br />

Editor-in-Chief: Noel Sharkey, University of<br />

Sheffield, UK<br />

Print ISSN 0954-0091 • Online ISSN 1360-0494<br />

Connection <strong>Science</strong> is an interdisciplinary<br />

scientific and technical journal that has, since<br />

1989, been a focus for research on connectionist<br />

modelling and neural network learning in both<br />

living and artificial systems with an emphasis<br />

on cognition and AI. Papers on these traditional<br />

themes are still strongly encouraged.<br />

However, in response to exciting new work in<br />

evolutionary methods and adaptive robotics,<br />

its scope has been broadened to include<br />

computational research on all biologically<br />

inspired adaptive mechanisms as well as all<br />

areas of biologicallyinspired robotics research.<br />

www.tandf.co.uk/journals/ccos<br />

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