Sebanyak 460 item atau buku ditemukan

Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001. Proceedings

The tenth Portuguese Conference on Arti?cial Intelligence, EPIA 2001 was held in Porto and continued the tradition of previous conferences in the series. It returned to the city in which the ?rst conference took place, about 15 years ago. The conference was organized, as usual, under the auspices of the Portuguese Association for Arti?cial Intelligence (APPIA, http://www.appia.pt). EPIA maintained its international character and continued to provide a forum for p- senting and discussing researc h on di?erent aspects of Arti?cial Intelligence. To promote motivated discussions among participants, this conference streng- ened the role of the thematic workshops. These were not just satellite events, but rather formed an integral part of the conference, with joint sessions when justi?ed. This had the advantage that the work was presented to a motivated audience. This was the ?rst time that EPIA embarked on this experience and so provided us with additional challenges.

10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal,
December 17-20, 2001. Proceedings Pavel Brazdil, Alipio Jorge. between beliefs
by Gaspar [6]). However, we believe that we are combining them in a novel and
more efficient manner. These argumentation protocols, which are implemented in
the DIPLoMAT system, are under test and evaluation. They attempt to solve the
detected conflicting beliefs but cannot, beforehand, guarantee whether their effort
 ...

Swarm Intelligence for Multi-objective Problems in Data Mining

The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.

Carlos Coello Coello, Satchidananda Dehuri, Susmita Ghosh. 1 An Introduction
to Swarm Intelligence for Multi-objective Problems in Data Mining Satchidananda
Dehuri1, Susmita Ghosh2, and Carlos A. Coello Coello3 1 Department of
Information and Communication Technology, Fakir Mohan University, Vyasa
Vihar, Balasore-756019, India ...

Intelligent Agents and Multi-Agent Systems

5th Pacific Rim International Workshop on Multi-Agents, PRIMA 2002, Tokyo, Japan, August 18-19, 2002. Proceedings

Autonomous agents and multi-agent systems are computational systems in which several (semi-)autonomous agents interact with each other or work together to perform some set of tasks or satisfy some set of goals. These systems may involve computational agents that are homogeneous or heterogeneous, they may involve activities on the part of agents having common or distinct goals, and they may involve participation on the part of humans and intelligent agents. This volume contains selected papers from PRIMA 2002, the 5th Paci?c Rim International Workshop on Multi-Agents, held in Tokyo, Japan, on August 18–19, 2002 in conjunction with the 7th Paci?c Rim International Conference on Arti?cial Intelligence (PRICAI-02). PRIMA is a series of workshops on - tonomous agents and multi-agent systems, integrating activities in the Asian and Paci?c Rim countries. PRIMA 2002 built on the great success of its pre- cessors, PRIMA’98 in Singapore, PRIMA’99 in Kyoto, Japan, PRIMA 2000 in Melbourne, Australia, and PRIMA 2001 in Taipei, Taiwan. We received 35 submissions to this workshop from 10 countries. Each paper was reviewed by three internationally renowned program committee members. After careful reviews, 15 papers were selected for this volume. We would like to thank all the authors who submitted papers to the workshop. We would also like to thank all the program committee members for their splendid work in reviewing the papers. Finally, we thank the editorial sta? of Springer-Verlag for publishing this volume in the Lecture Notes in Arti?cial Intelligence.

We received 35 submissions to this workshop from 10 countries. Each paper was reviewed by three internationally renowned program committee members. After careful reviews, 15 papers were selected for this volume.

Multi-Objective Swarm Intelligent Systems

Theory & Experiences

This book covers the latest in multi-objective swarm intelligence and cooperative behavior. It contains innovative and intriguing applications as well as additions to the methodology and theory of genetic programming.

Experimental results indicate that MOCPSOhasahigher convergence speed and
better exploratory capabilities thanMOPSO, especially when the number of
objectives is large, and that the fusion methodbasedon MOCPSO is
issuitableformany types of pixel-levelimage fusion andcan realize the
Paretooptimalimage fusion. N. Nedjah et al. (Eds.): Multi-Objective Swarm
Intelligent Systems, SCI 261, pp. 151–178. springerlink.com c Springer-Verlag
Berlin Heidelberg 2010 7.1 Introduction ...

Intelligent Agents and Multi-Agent Systems

6th Pacific Rim International Workshop on Multi-Agents, PRIMA 2003, Seoul, Korea, November 7-8, 2003, Proceedings

Five years ago, with excitement and uncertainty, we witnessed the birth of PRIMA (Paci?c Rim International Workshop on Multi-Agents). The ?rst PRIMA in 1998 has now grown into PRIMA 2003, the 6th Paci?c Rim Inter- tional Workshop on Multi-Agents in Seoul, Korea. During a period of ?ve years, the notion of agent research has grown so much that we hear the term agent on a daily basis. Various ?elds such as business, the Web, software engineering, on-line games and such are now using the term agent as a placeholder, just like the term object is used in the object-oriented paradigm. On the other hand, the research area has extended toward real applications, such as the Semantic Web and ubiquitous computing. The themes of PRIMA 2003 re?ected the following trends: – agent-based electronic commerce, auctions and markets – agent architectures and their applications – agent communication languages, dialog and interaction protocols – agent ontologies – agent programming languages, frameworks and toolkits – agentcities – agents and grid computing – agents and peer computing –agentsandtheSemanticWeb – agents and Web services – arti?cial social systems – con?ict resolution and negotiation – evaluation of multi-agent systems – languages and techniques for describing (multi-)agent systems – meta modeling and meta reasoning – multi-agent planning and learning – multi-agent systems and their applications – social reasoning, agent modeling, and organization – standards for agents and multi-agent systems – teams and coalitions – ubiquitous agents

Design of Intelligent Multi-Agent Systems

Human-Centredness, Architectures, Learning and Adaptation

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.

Intelligent. Action. Acquisition. for. Animated. Learning. Agents'. Adam Szarowicz,
Marek Mittmann, Jaroslaw Francik Generation of animated human figures
especially in crowd scenes has many applications in such domains as the
special effects industry, computer games or for the simulation of the evacuation
from crowded areas. Current systems allow for partially automatic generation of
scenes involving a few interacting characters but expensive manual labour is still
necessary in ...

Computational Intelligence in Multi-Feature Visual Pattern Recognition

Hand Posture and Face Recognition using Biologically Inspired Approaches

This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds. The book has 3 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition. The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction.

Intelligence. Techniques. The true sign of intelligence is not knowledge but
imagination Albert Einstein Abstract The chapter explains the computational
intelligence techniques utilized in the algorithms presented in the book. The fuzzy
and rough sets, fuzzy-rough sets, genetic algorithm and, feature selection and
classification using the fuzzy-rough sets are detailed. The biologically inspired
feature extraction system utilized in the presented algorithms is explained.
Keywords Fuzzy sets ...

Intelligent Multimedia Multi-Agent Systems

A Human-Centered Approach

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.

This book is about developing intelligent multimedia multi-agent systems based
on a human-centered approach. It is relevant to practitioners and researchers in
areas like human-centered systems, intelligent systems, multimedia, image
processing, internet and e-commerce, e-health and health informatics, software
engineering (especially those using patterns and adapter technologies) and
cognitive science. The book is an outcome of research done in areas like work-
centered ...

Engineering Intelligent Hybrid Multi-Agent Systems

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.

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.

Multi-objective Swarm Intelligence

Theoretical Advances and Applications

The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.

The purpose of this volume entitled “Multi-objective Swarm Intelligence:
Theoretical Advances and Applications” is to attract a wide range of researchers
and readers from all fields of science and engineering performing
interdisciplinary research based on swarm intelligence methodologies to
optimize intractable problems, which are either in the form of single or multi-
objective optimization. Multi-objective optimization deals with the simultaneous
optimization of two or more objectives ...