Intelligent Computational Systems: A Multi-Disciplinary Perspective

Book Series: Current and Future Developments in Artificial Intelligence

Volume 1

by

Faria Nassiri-Mofakham

DOI: 10.2174/97816810850291170101
eISBN: 978-1-68108-502-9, 2017
ISBN: 978-1-68108-503-6
ISSN: 2543-1560 (Print)
ISSN: 2543-1579 (Online)



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Intelligent Computational Systems presents current and future developments in artificial Intelligence (AI) in a multi-disciplinary con...[view complete introduction]

Table of Contents

Foreword

- Pp. i-ii (2)

Michael N. Huhns

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Preface

- Pp. iii-iv (2)

Faria Nassiri-Mofakham

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List of Contributors

- Pp. v

Faria Nassiri-Mofakham

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Simulation, Intelligence and Agents: Exploring the Synergy

- Pp. 1-58 (58)

Nasser Ghasem-Aghaee, Tuncer Ören and Levent Yilmaz

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Living with Digital Worlds: A Personal View of Artificial Intelligence

- Pp. 59-92 (34)

Helder Coelho

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A Baseline for Nonlinear Bilateral Negotiations: The full results of the agents competing in ANAC 2014

- Pp. 93-121 (29)

Reyhan Aydoğan, Catholijn M. Jonker, Katsuhide Fujita, Tim Baarslag, Takayuki Ito, Rafik Hadfi and Kohei Hayakawa

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A Multi Agent Model for Reverse Perception Effect

- Pp. 122-153 (32)

Nuno Trindade Magessi and Luis Antunes

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Lexicon-based Sentiment Analysis in Persian

- Pp. 154-183 (30)

Mohammad Ehsan Basiri, Nasser Ghasem-Aghaee and Ahmad Reza Naghsh-Nilchi

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The Age of the Connected World of Intelligent Computational Entities: Reliability Issues including Ethics, Autonomy and Cooperation of Agents

- Pp. 184-213 (30)

Tuncer Ören and Levent Yilmaz

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P-UTADIS: A Multi Criteria Classification Method

- Pp. 214-267 (54)

Majid Esmaelian, Hadi Shahmoradi and Fateme Nemati

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Artificial Intelligence Techniques for Credit Risk Management

- Pp. 268-293 (26)

Abdolreza Nazemi and Konstantin Heidenreich

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A Novel Task-Driven Sensor-Management Method in Multi-Object Filters Using Stochastic Geometry

- Pp. 294-334 (41)

Amirali K. Gostar, Reza Hoseinnezhad and Alireza Bab-Hadiashar

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Parallel Processing in Holonic Systems

- Pp. 335-369 (35)

Imane Basiry and Nasser Ghasem-Aghaee

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Robot-Assisted Language Learning: Artificial Intelligence in Second Language Acquisition

- Pp. 370-396 (27)

Dara Tafazoli and M Elena Gómez-Parra

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Subject Index

- Pp. 397-406 (10)

Faria Nassiri-Mofakham

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Foreword

After more than six decades of research, artificial intelligence is now being used for many endeavors, helping people manage their lives, secure their homes and information, perform routine tasks in homes, hospitals, and offices, and automate their travel. The applications are widespread and so are the technologies needed to create them. This book provides a comprehensive treatment of intelligent systems and includes contributions from leading researchers and developers in a range of disciplines.

The need for the book appears obvious: computational systems are fast becoming ubiquitous and pervasive and we would like them to be effective and friendly. They are ubiquitous because computing power and access to the Internet are being made available everywhere; they are pervasive because computing is being embedded in the very fabric of our environment. For example, our houses, our furniture, and our clothes will contain computers that will enable our surroundings to adapt to our preferences and needs. This leads also to unprecedented complexity in our envisioned systems, because commercial, educational, and industrial enterprises will be linked, and human spheres previously untouched by computing and information technology, such as our personal, recreational, and community life, will be affected.

In the midst of the complexity, we need the computational systems with which we interact to behave intelligently, i.e., rationally, and there are many facets to intelligent behavior. These facets do not exist in isolation, although they can be investigated individually. This has been the primary investigative approach so far in computer science research. However, the next major advances will come from more comprehensive approaches, where combinations of the facets will produce intelligent behaviors needed for complex and realistic domains. Creating effective combinations will require that researchers understand the various facets, and this book provides some of the required understanding.

Dr. Faria Nassiri Mofakham has assembled papers that span the fundamental areas of interactions among intelligent software agents, robot languages, ethical behavior of agents, and human language, and the application areas of manufacturing, finance, and education. She leads with a paper by Ghasem-Aghaee, Ören, and Yilmaz that covers both areas, in that it surveys the use of simulation to investigate agent-based behaviors and to control agent-based behaviors in applications. The paper is exceptionally thorough and provides a basis for considering the papers that follow, notably the paper by Coelho that considers simulated worlds of intelligent systems, the paper by Aydogan et al. that considers simulated negotiations, and the paper by Magessi and Antunes that simulates human attitudes using agents.

For computational systems to be considered intelligent, they must be able to interact with humans in ways that seem natural, i.e., as other humans would. This requires the systems to understand human emotions, as Basiri et al. investigate, and to behave ethically, as Ören and Yilmaz analyze. They must also operate efficiently and yield plausible results when processing large amounts of information, as Esmaelian, Shahmoradi, and Nemati show in their paper on classification.

Finally, the fundamental advances must be applied to important problems to demonstrate their utility and capabilities. The paper by Nazemi and Heidenreich uses advances in machine learning to improve the understanding of bond rates in financial markets. The paper by Gostar, Hoseinnezhad, and Bab-Hadiashar addresses sensor management from the perspective of intelligent sequential decision-making in the presence of stochastic uncertainty. Their results have broad applicability, including to the Internet of Things. Basiri and Ghasem-Aghaee consider how complexity can be reduced in large-scale systems using an AI approach based on multi-agent holonic systems that self-organize and behave autonomously. Modern manufacturing can benefit from this approach. The paper by Tafazoli and Parra describes how robots and artificial intelligence can improve education, specifically the learning of natural languages.

In summary, I am excited by the possibilities for new computational systems that are engendered by this book, as well as by the challenges that remain. This book provides a solid foundation for advances in the intelligent behavior of computational systems.

Dr. Michael N. Huhns
Distinguished Professor Emeritus of Computer Science and Engineering,
University of South Carolina,
Columbia, SC,
USA


Preface

Any knowledge is as old as its date revealed. The idea of editing a book as a planet in the galaxy of AI will make you as old as AI and as young as what has been and is being published today.

What is of concern in this contemporary life, at the intellectual level, where machine -the digital in specific- governs the manner by which the different aspects of human perceptions are applied in a given field is to enhance human’s comprehension. On one to one basis, not even a temporary success will be registered in this realm, unless the problem is analyzed in a multi-dimensional and multi aspect sense. Books like this provide the interested readers in academic world different access channels, found so far, in having a broader perspective on the subjects of the matter(s) in AI. Many literary packages, each one better than the previous ones, are published in order to quench this never ending quest.

The objective of research on the constituent theme here is to promote their advances made towards accomplishments. In this multi-disciplinary package, the authors seek to present their innovative views on their themes of interest in this realm; consequently, pronouncing a general statement would be wrong, and for not committing this wrong I would suffice by bulleting the content of each one of the chapters presented to provide a panorama of what is defined and expected in Simulation, Interaction with humans, and Application categories:

  1. Simulation of intelligent behavior
  2. An individualized view on schools of artificial intelligence
  3. The vast span of dealing with incomplete information in automated negotiation
  4. Reverse perception effect on cognition leading to stimulated behavior
  5. Lack of lexicon-based sentiment analysis in Persian language
  6. Regressive retrospect counter-intuitive view of ethics, autonomy and cooperation of agents
  7. Minimizing estimation error through polynomial utility function
  8. Prediction in the world of finance
  9. The role of stochastic geometry in multi-object filters
  10. Multi-agent architecture applied in parallel process Holonic systems
  11. Robot-assisted language learning alternate to CALL and MALL

The authors here challenge the theoretical meta-problems that manipulate the existing practical problems

This book could not have been published without the substantial contribution of many interested and involved in this endeavor. I wish to express my cordial gratitude to the enthusiastic researchers for their significant contribution in the chapters, anonymous reviewers for their valuable comments, Mr. Haidouk Vartevan, a freelance proofreader and the editorial staffs and partners of Bentham Science Publishers, especially Ms. Fariya Zulfiqar, Publications Assistant Manager, for their kind cooperation.

It is a pride to have the Foreword of this eBook written by Dr. Michael N. Huhns, Distinguished Professor Emeritus of Computer Science and Engineering.

Dr. Faria Nassiri-Mofakham
University of Isfahan,
Isfahan, P.O.Code 81746-72441,
Iran
E-mail: fnasiri@eng.ui.ac.ir

List of Contributors

Author(s):
Faria Nassiri-Mofakham
University of Isfahan
Isfahan
P.O. Code 81746-72441
Iran




Contributor(s):
Abdolreza Nazemi
School of Economics and Business Engineering
Karlsruhe Institute of Technology
Karlsruhe
Germany


Ahmad Reza Naghsh-Nilchi
Faculty of Computer Engineering & Information Technology
University of Isfahan
Isfahan
Iran


Alireza Bab-Hadiashar
Aerospace, Mechanical and Manufacturing Engineering
RMIT University
Melbourne, VIC 3000
Australia


Amirali K. Gostar
Aerospace, Mechanical and Manufacturing Engineering
RMIT University
Melbourne, VIC 3000
Australia


Catholijn M. Jonker
Interactive Intelligence Group
Delft University of Technology
Delft
The Netherlands


Dara Tafazoli
Department of English and German Philologies
University of Córdoba
Córdoba
Spain


Faria Nassiri-Mofakham
Department of Information Technology Engineering
University of Isfahan
Isfahan
Iran


Fateme Nemati
Department of Artificial Intelligence, Faculty of Computer Engineering
University of Isfahan
Isfahan
Iran


Hadi Shahmoradi
Department of Management, Faculty of Administrative Sciences and Economics
University of Isfahan
Isfahan
Iran


Helder Coelho
BioISI and Mind-Brain College, Faculty of Science
University of Lisbon
Lisbon
Portugal


Imane Basiry
Computer Engineering Department
Sheikh Bahaei University
Baharestan
Iran


Katsuhide Fujita
Faculty of Engineering
Tokyo University of Agriculture and Technology
Tokyo
Japan


Kohei Hayakawa
Department of Computer Science and Engineering
Nagoya Institute of Technology
Nagoya
Japan


Konstantin Heidenreich
School of Economics and Business Engineering
Karlsruhe Institute of Technology
Karlsruhe
Germany


Levent Yilmaz
Deptartment of Computer Science and Software Engineering
Auburn University
Auburn
USA


Luis Antunes
BioISI/MAS/Faculdade de Ciências da
Universidade de Lisboa
Lisboa
Portugal


Mª Elena Gómez-Parra
Department of English and German Philologies
University of Córdoba
Córdoba
Spain


Majid Esmaelian
Department of Management, Faculty of Administrative Sciences and Economics
University of Isfahan
Isfahan
Iran


Michael N. Huhns
Department of Computer Science and Engineering
University of South Carolina
Columbia, SC 29208
USA


Mohammad Ehsan Basiri
Department of Computer Engineering, Faculty of Engineering
Shahrekord University
Shahrekord
Iran


Nasser Ghasem-Aghaee
Faculty of Computer Engineering & Information Technology
University of Isfahan
Isfahan
Iran
/
Department of Computer Engineering
Sheikh Bahaei University
Baharestan
Iran


Rafik Hadfi
Department of Computer Science and Engineering
Nagoya Institute of Technology
Nagoya
Japan


Reyhan Aydoğan
Department of Computer Science
Özyeğin University
Istanbul
Turkey
/
Interactive Intelligence Group
Delft University of Technology
Delft
The Netherlands


Reza Hoseinnezhad
Aerospace, Mechanical and Manufacturing Engineering
RMIT University
Melbourne, VIC 3000
Australia


Takayuki Ito
Department of Computer Science and Engineering
Nagoya Institute of Technology
Nagoya
Japan


Tim Baarslag
Agents, Interaction and Complexity Group
University of Southampton
Southampton
UK


Trindade Nuno Magessi
BioISI/ MAS/ Faculdade de Ciências da
Universidade de Lisboa
Lisboa
Portugal


Tuncer Ören
School of Electrical Engineering and Computer Science
University of Ottawa
Ottawa
Canada




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