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This book brings together past insights, current research and
promising future trends associated with distributed computing,
artificial intelligence and their application in order to provide
efficient solutions to real-world problems. The book is based on
the International Conference on Distributed Computing and
Artificial Intelligence 2020 (DCAI 2020), which provided a forum to
present applications of innovative techniques for studying and
solving complex problems in artificial intelligence and computing
areas. It includes contributions on well-established and evolving
areas of research, by authors from 26 countries, representing a
truly "wide area network" of research activity
This book covers theoretical work, applications, approaches, and
techniques for computational models of information and its
presentation by language (artificial, human, or natural in other
ways). Computational and technological developments that
incorporate natural language are proliferating. Adequate coverage
encounters difficult problems related to ambiguities and dependency
on context and agents (humans or computational systems). The goal
is to promote computational systems of intelligent natural language
processing and related models of computation, language, thought,
mental states, reasoning, and other cognitive processes.
This book covers theoretical work, applications, approaches, and
techniques for computational models of information and its
presentation by language (artificial, human, or natural in other
ways). Computational and technological developments that
incorporate natural language are proliferating. Adequate coverage
encounters difficult problems related to ambiguities and dependency
on context and agents (humans or computational systems). The goal
is to promote computational systems of intelligent natural language
processing and related models of computation, language, thought,
mental states, reasoning, and other cognitive processes.
This book builds on decades of research and provides contemporary
theoretical foundations for practical applications to intelligent
technologies and advances in artificial intelligence (AI).
Reflecting the growing realization that computational models of
human reasoning and interactions can be improved by integrating
heterogeneous information resources and AI techniques, its ultimate
goal is to promote integrated computational approaches to
intelligent computerized systems. The book covers a range of
interrelated topics, in particular, computational reasoning,
language, syntax, semantics, memory, and context information. The
respective chapters use and develop logically oriented methods and
techniques, and the topics selected are from those areas of logic
that contribute to AI and provide its mathematical foundations. The
intended readership includes researchers working in the areas of
traditional logical foundations, and on new approaches to
intelligent computational systems.
This book focuses mainly on logical approaches to computational
linguistics, but also discusses integrations with other approaches,
presenting both classic and newly emerging theories and
applications.Decades of research on theoretical work and practical
applications have demonstrated that computational linguistics is a
distinctively interdisciplinary area. There is convincing evidence
that computational approaches to linguistics can benefit from
research on the nature of human language, including from the
perspective of its evolution. This book addresses various topics in
computational theories of human language, covering grammar, syntax,
and semantics. The common thread running through the research
presented is the role of computer science, mathematical logic and
other subjects of mathematics in computational linguistics and
natural language processing (NLP). Promoting intelligent approaches
to artificial intelligence (AI) and NLP, the book is intended for
researchers and graduate students in the field.
This book builds on decades of research and provides contemporary
theoretical foundations for practical applications to intelligent
technologies and advances in artificial intelligence (AI).
Reflecting the growing realization that computational models of
human reasoning and interactions can be improved by integrating
heterogeneous information resources and AI techniques, its ultimate
goal is to promote integrated computational approaches to
intelligent computerized systems. The book covers a range of
interrelated topics, in particular, computational reasoning,
language, syntax, semantics, memory, and context information. The
respective chapters use and develop logically oriented methods and
techniques, and the topics selected are from those areas of logic
that contribute to AI and provide its mathematical foundations. The
intended readership includes researchers working in the areas of
traditional logical foundations, and on new approaches to
intelligent computational systems.
The present book brings together experience, current work, and
promising future trends associated with distributed computing,
artificial intelligence, and their application in order to provide
efficient solutions to real problems. DCAI 2023 is a forum to
present applications of innovative techniques for studying and
solving complex problems in artificial intelligence and computing
areas. This year’s technical program presents both high quality
and diversity, with contributions in well-established and evolving
areas of research. Specifically, 108 papers were submitted, by
authors from 31 different countries representing a truly “wide
area network” of research activity. The DCAI’23 technical
program has selected 50 full papers in the Special Sessions (ASET,
AIMPM, AI4CS, CLIRAI, TECTONIC, PSO-ML, SmartFoF, IoTalentum) and,
as in past editions, it will be special issues in ranked journals.
This symposium is organized by the LASI and Centro Algoritmi of the
University of Minho (Portugal). The authors like to thank all the
contributing authors, the members of the Program Committee,
National Associations (AEPIA, APPIA), and the sponsors (AIR
Institute).
This book assesses the place of logic, mathematics, and computer
science in present day, interdisciplinary areas of computational
linguistics. Computational linguistics studies natural language in
its various manifestations from a computational point of view, both
on the theoretical level (modeling grammar modules dealing with
natural language form and meaning and the relation between these
two) and on the practical level (developing applications for
language and speech technology). It is a collection of chapters
presenting new and future research. The book focuses mainly on
logical approaches to computational processing of natural language
and on the applicability of methods and techniques from the study
of formal languages, programming, and other specification
languages. It presents work from other approaches to linguistics,
as well, especially because they inspire new work and approaches.
DCAI 2022 is a forum to present applications of innovative
techniques for studying and solving complex problems in artificial
intelligence and computing areas. The present edition brings
together past experience, current work and promising future trends
associated with distributed computing, artificial intelligence and
their application in order to provide efficient solutions to real
problems. This year's technical program will present both high
quality and diversity, with contributions in well-established and
evolving areas of research. Specifically, 46 papers were submitted,
by authors from 28 different countries representing a truly "wide
area network" of research activity. The DCAI'22 Special Sessions
technical program has selected 22 papers (12 full papers) and, as
in past editions, it will be special issues in ranked journals.
This symposium is organized by the University of L'Aquila (Italy).
We would like to thank all the contributing authors, the members of
the Program Committee and the sponsors (IBM, Indra, Dipartimento di
Ingegneria e Scienze dell'Informazione e Matematica dell'Universita
degli Studi dell'Aquila, Armundia Group, Whitehall Reply, T.C.
Technologies And Comunication S.R.L., LCL Industria Grafica, AIR
Institute, AEPIA, APPIA).
The book covers theoretical work, approaches, applications, and
techniques for computational models of information, language, and
reasoning. Computational and technological developments that
incorporate natural language are proliferating. Adequate coverage
of natural language processing in artificial intelligence
encounters problems on developments of specialized computational
approaches and algorithms. Many difficulties are due to ambiguities
in natural language and dependency of interpretations on contexts
and agents. Classical approaches proceed with relevant updates, and
new developments emerge in theories of formal and natural
languages, computational models of information and reasoning, and
related computerized applications. Its focus is on computational
processing of human language and relevant medium languages, which
can be theoretically formal, or for programming and specification
of computational systems. The goal is to promote intelligent
natural language processing, along with models of computation,
language, reasoning, and other cognitive processes.
The book covers theoretical work, approaches, applications, and
techniques for computational models of information, language, and
reasoning. Computational and technological developments that
incorporate natural language are proliferating. Adequate coverage
of natural language processing in artificial intelligence
encounters problems on developments of specialized computational
approaches and algorithms. Many difficulties are due to ambiguities
in natural language and dependency of interpretations on contexts
and agents. Classical approaches proceed with relevant updates, and
new developments emerge in theories of formal and natural
languages, computational models of information and reasoning, and
related computerized applications. Its focus is on computational
processing of human language and relevant medium languages, which
can be theoretically formal, or for programming and specification
of computational systems. The goal is to promote intelligent
natural language processing, along with models of computation,
language, reasoning, and other cognitive processes.
This book highlights the latest research on distributed computing
and artificial intelligence. DCAI 2021 is a forum to present
applications of innovative techniques for studying and solving
complex problems in artificial intelligence and computing areas.
The present edition brings together past experience, current work
and promising future trends associated with distributed computing,
artificial intelligence and their application in order to provide
efficient solutions to real problems. This year's technical program
will present both high quality and diversity, with contributions in
well-established and evolving areas of research. Specifically, 55
papers were submitted to main track and special sessions, by
authors from 24 different countries representing a truly "wide area
network" of research activity. Moreover, DCAI 2021 Special Sessions
have been a very useful tool in order to complement the regular
program with new or emerging topics of particular interest to the
participating community. The technical program of the Special
Sessions of DCAI 2021 has selected 23 papers. We would like to
thank all the contributing authors, the members of the Program
Committees, the sponsors (IBM, Armundia Group, EurAI, AEPIA, APPIA,
CINI, OIT, UGR, HU, SCU, USAL, AIR Institute and UNIVAQ) and the
Organizing Committee of the University of Salamanca for their hard
and highly valuable work.
This book focuses mainly on logical approaches to computational
linguistics, but also discusses integrations with other approaches,
presenting both classic and newly emerging theories and
applications.Decades of research on theoretical work and practical
applications have demonstrated that computational linguistics is a
distinctively interdisciplinary area. There is convincing evidence
that computational approaches to linguistics can benefit from
research on the nature of human language, including from the
perspective of its evolution. This book addresses various topics in
computational theories of human language, covering grammar, syntax,
and semantics. The common thread running through the research
presented is the role of computer science, mathematical logic and
other subjects of mathematics in computational linguistics and
natural language processing (NLP). Promoting intelligent approaches
to artificial intelligence (AI) and NLP, the book is intended for
researchers and graduate students in the field.
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