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Engineering Intelligent Hybrid Multi-Agent Systems is about
building intelligent hybrid systems. Included is coverage of
applications and design concepts related to fusion systems,
transformation systems and combination systems. These applications
are in areas involving hybrid configurations of knowledge-based
systems, case-based reasoning, fuzzy systems, artificial neural
networks, genetic algorithms, and in knowledge discovery and data
mining. Through examples and applications a synergy of these
subjects is demonstrated. The authors introduce a multi-agent
architectural theory for engineering intelligent associative hybrid
systems. The architectural theory is described at both the task
structure level and the computational level. This problem-solving
architecture is relevant for developing knowledge agents and
information agents. An enterprise-wide system modeling framework is
outlined to facilitate forward and backward integration of systems
developed in the knowledge, information, and data engineering
layers of an organization. In the modeling process, software
engineering aspects like agent oriented analysis, design and reuse
are developed and described. Engineering Intelligent Hybrid
Multi-Agent Systems is the first book in the field to provide
details of a multi-agent architecture for building intelligent
hybrid systems.
Human-Centered e-Business focuses on analysis, design and
development of human-centered e-business systems. The authors
illustrate the benefits of the human-centered approach in
intelligent e-sales recruitment application, integrating data
mining technology with decision support model for profiling
transaction behavior of internet banking customers, user-centered
context dependent data organization using XML, knowledge
management, and optimizing the search process through human
evaluation in an intelligent interactive multimedia application.
The applications described in this work, facilitates both
e-business analysis from a business professional's perspective, and
human-centered system design from a system development perspective.
These applications employ a range of internet and soft computing
technologies.
Intelligent Multimedia Multi-Agent Systems focuses on building
intelligent successful systems. The book adopts a human-centered
approach and considers various pragmatic issues and problems in
areas like intelligent systems, software engineering, multimedia
databases, electronic commerce, data mining, enterprise modeling
and human-computer interaction for developing a human-centered
virtual machine. The authors describe an ontology of the
human-centered virtual machine which includes four components:
activity-centered analysis component, problem solving adapter
component, transformation agent component, and multimedia based
interpretation component. These four components capture the
external and internal planes of the system development spectrum.
They integrate the physical, social and organizational reality on
the external plane with stakeholder goals, tasks and incentives,
and organization culture on the internal plane. The human-centered
virtual machine and its four components are used for developing
intelligent multimedia multi-agent systems in areas like medical
decision support and health informatics, medical image retrieval,
e-commerce, face detection and annotation, internet games and sales
recruitment. The applications in these areas help to expound
various aspects of the human-centered virtual machine including,
human-centered domain modeling, distributed intelligence and
communication, perceptual and cognitive task modeling, component
based software development, and multimedia based data modeling.
Further, the applications described in the book employ various
intelligent technologies like neural networks, fuzzy logic and
knowledge based systems, software engineering artifacts like agents
and objects, internet technologies like XML and multimedia
artifacts like image, audio, video and text.
There is a tremendous interest in the design and applications of
agents in virtually every area including avionics, business,
internet, engineering, health sciences and management. There is no
agreed one definition of an agent but we can define an agent as a
computer program that autonomously or semi-autonomously acts on
behalf of the user. In the last five years transition of
intelligent systems research in general and agent based research in
particular from a laboratory environment into the real world has
resulted in the emergence of several phenomenon. These trends can
be placed in three catego ries, namely, humanization, architectures
and learning and adapta tion. These phenomena are distinct from the
traditional logic centered approach associated with the agent
paradigm. Humaniza tion of agents can be understood among other
aspects, in terms of the semantics quality of design of agents. The
need to humanize agents is to allow practitioners and users to make
more effective use of this technology. It relates to the semantic
quality of the agent design. Further, context-awareness is another
aspect which has as sumed importance in the light of ubiquitous
computing and ambi ent intelligence. The widespread and varied use
of agents on the other hand has cre ated a need for agent-based
software development frameworks and design patterns as well
architectures for situated interaction, nego tiation, e-commerce,
e-business and informational retrieval. Fi- vi Preface nally,
traditional agent designs did not incorporate human-like abilities
of learning and adaptation."
Dear delegates, friendsand membersofthe growingKES
professionalcommunity, w- come to the proceedings of the 9th
International Conference on Knowledge-Based and
IntelligentInformationandEngineeringSystemshostedbyLa
TrobeUniversityin M- bourne Australia. The KES conference series
has been established for almost a decade, and it cont- ues each
year to attract participants from all geographical areas of the
world, including Europe, the Americas, Australasia and the Paci?c
Rim. The KES conferences cover a wide range of intelligent systems
topics. The broad focus of the conference series is the theory and
applications of intelligent systems. From a pure research ?eld,
intel- gent systems have advanced to the point where their
abilities have been incorporated into many business and engineering
application areas. KES 2005 provided a valuable mechanism for
delegates to obtain an extensive view of the latest research into a
range of intelligent-systems algorithms, tools and techniques. The
conference also gave de- gates the chance to come into contact with
those applying intelligent systems in diverse commercial areas. The
combination of theory and practice represented a unique opp- tunity
to gain an appreciation of the full spectrum of leading-edge
intelligent-systems activity. The papers for KES 2005 were either
submitted to invited sessions, chaired and organized by respected
experts in their ?elds, or to a general session, managed by an
extensive International Program Committee, or to the Intelligent
Information Hiding and Multimedia Signal Processing (IIHMSP)
Workshop, managed by an International Workshop Technical Committe
There is a tremendous interest in the design and applications of
agents in virtually every area including avionics, business,
internet, engineering, health sciences and management. There is no
agreed one definition of an agent but we can define an agent as a
computer program that autonomously or semi-autonomously acts on
behalf of the user. In the last five years transition of
intelligent systems research in general and agent based research in
particular from a laboratory environment into the real world has
resulted in the emergence of several phenomenon. These trends can
be placed in three catego ries, namely, humanization, architectures
and learning and adapta tion. These phenomena are distinct from the
traditional logic centered approach associated with the agent
paradigm. Humaniza tion of agents can be understood among other
aspects, in terms of the semantics quality of design of agents. The
need to humanize agents is to allow practitioners and users to make
more effective use of this technology. It relates to the semantic
quality of the agent design. Further, context-awareness is another
aspect which has as sumed importance in the light of ubiquitous
computing and ambi ent intelligence. The widespread and varied use
of agents on the other hand has cre ated a need for agent-based
software development frameworks and design patterns as well
architectures for situated interaction, nego tiation, e-commerce,
e-business and informational retrieval. Fi- vi Preface nally,
traditional agent designs did not incorporate human-like abilities
of learning and adaptation."
Human-Centered e-Business focuses on analysis, design and
development of human-centered e-business systems. The authors
illustrate the benefits of the human-centered approach in
intelligent e-sales recruitment application, integrating data
mining technology with decision support model for profiling
transaction behavior of internet banking customers, user-centered
context dependent data organization using XML, knowledge
management, and optimizing the search process through human
evaluation in an intelligent interactive multimedia application.
The applications described in this work, facilitates both
e-business analysis from a business professional's perspective, and
human-centered system design from a system development perspective.
These applications employ a range of internet and soft computing
technologies.
Engineering Intelligent Hybrid Multi-Agent Systems is about
building intelligent hybrid systems. Included is coverage of
applications and design concepts related to fusion systems,
transformation systems and combination systems. These applications
are in areas involving hybrid configurations of knowledge-based
systems, case-based reasoning, fuzzy systems, artificial neural
networks, genetic algorithms, and in knowledge discovery and data
mining. Through examples and applications a synergy of these
subjects is demonstrated. The authors introduce a multi-agent
architectural theory for engineering intelligent associative hybrid
systems. The architectural theory is described at both the task
structure level and the computational level. This problem-solving
architecture is relevant for developing knowledge agents and
information agents. An enterprise-wide system modeling framework is
outlined to facilitate forward and backward integration of systems
developed in the knowledge, information, and data engineering
layers of an organization. In the modeling process, software
engineering aspects like agent oriented analysis, design and reuse
are developed and described. Engineering Intelligent Hybrid
Multi-Agent Systems is the first book in the field to provide
details of a multi-agent architecture for building intelligent
hybrid systems.
Intelligent Multimedia Multi-Agent Systems focuses on building
intelligent successful systems. The book adopts a human-centered
approach and considers various pragmatic issues and problems in
areas like intelligent systems, software engineering, multimedia
databases, electronic commerce, data mining, enterprise modeling
and human-computer interaction for developing a human-centered
virtual machine. The authors describe an ontology of the
human-centered virtual machine which includes four components:
activity-centered analysis component, problem solving adapter
component, transformation agent component, and multimedia based
interpretation component. These four components capture the
external and internal planes of the system development spectrum.
They integrate the physical, social and organizational reality on
the external plane with stakeholder goals, tasks and incentives,
and organization culture on the internal plane. The human-centered
virtual machine and its four components are used for developing
intelligent multimedia multi-agent systems in areas like medical
decision support and health informatics, medical image retrieval,
e-commerce, face detection and annotation, internet games and sales
recruitment. The applications in these areas help to expound
various aspects of the human-centered virtual machine including,
human-centered domain modeling, distributed intelligence and
communication, perceptual and cognitive task modeling, component
based software development, and multimedia based data modeling.
Further, the applications described in the book employ various
intelligent technologies like neural networks, fuzzy logic and
knowledge based systems, software engineering artifacts like agents
and objects, internet technologies like XML and multimedia
artifacts like image, audio, video and text.
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