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Since its origination in the mid-twentieth century, the area of
Artificial Intelligence (AI) has undergone a number of
developments. While the early interest in AI was mainly triggered
by the desire to develop artifacts that show the same intelligent
behavior as humans, nowadays scientists have realized that research
in AI involves a multitude of separate challenges, besides the
traditional goal to replicate human intelligence. In particular,
recent history has pointed out that a variety of 'intelligent'
computational techniques, part of which are inspired by human
intelligence, may be successfully applied to solve all kinds of
practical problems. This sub-area of AI, which has its main
emphasis on applications of intelligent systems to solve real-life
problems, is currently known under the term Applied Intelligence.
The objective of the International Conference on Industrial,
Engineering & Other Applications of Applied Intelligent Systems
(IEA/AIE) is to promote and disseminate recent research
developments in Applied Intelligence. The current book contains 30
chapters authored by participants of the 26th edition of IEA/AIE,
which was held in Amsterdam, the Netherlands. The material of each
chapter is self-contained and was reviewed by at least two
anonymous referees, to assure a high quality. Readers can select
any individual chapter based on their research interests without
the need of reading other chapters. We are confident that this book
provides useful reference values to researchers and students in the
field of Applied Intelligence, enabling them to find opportunities
and recognize challenges in the field.
This book presents recent developments is the field of human
aspects in Ambient Intelligence. This field, and the associated
workshop series, addresses multidisciplinary aspects of AmI with
human-directed disciplines such as psychology, social science,
neuroscience and biomedical sciences. The aim of the workshop
series is to get researchers together from these human-directed
disciplines or working on cross connections of AmI with these
disciplines. The focus is on the use of knowledge from these
disciplines in AmI applications, in order to support humans in
their daily living in medical, psychological and social respects.
The book plays important role to get modellers in the
psychological, neurological, social or biomedical disciplines
interested in AmI as a high-potential application area for their
models. From the other side, the book may make researchers in
Computer Science and Artificial and Ambient Intelligence more aware
of the possibilities to incorporate more substantial knowledge from
the psychological, neurological, social and biomedical disciplines
in AmI architectures and applications.
This book contains a selection of the best papers that were
presented at the 28th edition of the annual Benelux Conference on
Artificial Intelligence, BNAIC 2016. The conference took place on
November 10-11, 2016, in Hotel Casa 400 in Amsterdam. The
conference was jointly organized by the University of Amsterdam and
the Vrije Universiteit Amsterdam, under the auspices of the Benelux
Association for Artificial Intelligence (BNVKI) and the Dutch
Research School for Information and Knowledge Systems (SIKS). The
objective of BNAIC is to promote and disseminate recent research
developments in Artificial Intelligence, particularly within
Belgium, Luxembourg and the Netherlands, although it does not
exclude contributions from countries outside the Benelux. The 13
contributions presented in this volume (8 regular papers, 4 student
papers, and 1 demonstration paper) were carefully reviewed and
selected from 93 submissions. They address various aspects of
artificial intelligence such as natural language processing, agent
technology, game theory, problem solving, machine learning,
human-agent interaction, AI & education, and data analysis.
Since its origination in the mid-twentieth century, the area of
Artificial Intelligence (AI) has undergone a number of
developments. While the early interest in AI was mainly triggered
by the desire to develop artifacts that show the same intelligent
behavior as humans, nowadays scientists have realized that research
in AI involves a multitude of separate challenges, besides the
traditional goal to replicate human intelligence. In particular,
recent history has pointed out that a variety of 'intelligent'
computational techniques, part of which are inspired by human
intelligence, may be successfully applied to solve all kinds of
practical problems. This sub-area of AI, which has its main
emphasis on applications of intelligent systems to solve real-life
problems, is currently known under the term Applied Intelligence.
The objective of the International Conference on Industrial,
Engineering & Other Applications of Applied Intelligent Systems
(IEA/AIE) is to promote and disseminate recent research
developments in Applied Intelligence. The current book contains 30
chapters authored by participants of the 26th edition of IEA/AIE,
which was held in Amsterdam, the Netherlands. The material of each
chapter is self-contained and was reviewed by at least two
anonymous referees, to assure a high quality. Readers can select
any individual chapter based on their research interests without
the need of reading other chapters. We are confident that this book
provides useful reference values to researchers and students in the
field of Applied Intelligence, enabling them to find opportunities
and recognize challenges in the field.
Emotion modeling has been an active area of research for almost two
decades now. In spite of the growing and diverse body of work in
emotion modeling, designing and developing emotion models remains
an art, with few standards and systematic guidelines available to
guide the design process, and to validate the resulting models.
This state-of-the-art volume includes extended versions of eight
papers presented at two workshops: Standards in Emotion Modeling,
SEM 2011, held in Leiden, The Netherlands, in August 2011, which
focused on the challenges, progress and open questions regarding
emotion modeling standards, and Emotional and Empathic Agents, EEA
2012, held in conjunction with AAMAS 2012, in Valencia, Spain, in
June 2012, which focused on strategies for reducing the complexity
of affective models and model re-use. The papers have been
organized into two sections: generic models and frameworks, and
evaluations of specific models. They represent a sampling of the
current efforts toward the development of more systematic methods
for emotion modeling, toward the development of standards in
emotion model design and validation, and toward more pragmatic
approaches to model development, including model component sharing
and re-use. The topics range from efforts to define minimum
functionalities for agent emotion models and provide tools for
systematic comparisons of alternative approaches through approaches
to integrating multiple processing levels within an agent
architecture to papers exploring the best means of generating
empathy and supportive behavior in virtual agents and attempts to
address the requirements for realistic modeling of affective
expressions across multiple types of social interaction
(individual, group and cultural).
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Recent Trends in Applied Artificial Intelligence - 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Amsterdam, The Netherlands, June 17-21, 2013, Proceedings (Paperback, 2013 ed.)
Moonis Ali, Tibor Bosse, Koen V. Hindriks, Mark Hoogendoorn, Catholijn M. Jonker, …
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R1,522
Discovery Miles 15 220
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Ships in 18 - 22 working days
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This volume constitutes the thoroughly refereed conference
proceedings of the 26th International Conference on Industrial
Engineering and Other Applications of Applied Intelligence Systems,
IEA/AIE 2013, held in Amsterdam, The Netherlands, in June 2013. The
total of 71 papers selected for the proceedings were carefully
reviewed and selected from 185 submissions. The papers focus on the
following topics: auctions and negotiation, cognitive modeling,
crowd behavior modeling, distributed systems and networks,
evolutionary algorithms, knowledge representation and reasoning,
pattern recognition, planning, problem solving, robotics, text
mining, advances in recommender systems, business process
intelligence, decision support for safety-related systems,
innovations in intelligent computation and applications,
intelligent image and signal processing, and machine learning
methods applied to manufacturing processes and production systems.
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