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Investigations into Living Systems, Artificial Life, and Real-World Solutions [Kõva köide]

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  • Formaat: Hardback, 432 pages, kaal: 1084 g
  • Ilmumisaeg: 30-Apr-2013
  • Kirjastus: Idea Group,U.S.
  • ISBN-10: 1466638907
  • ISBN-13: 9781466638907
Teised raamatud teemal:
Investigations into Living Systems, Artificial Life, and Real-World SolutionsSuurem pilt
  • Formaat: Hardback, 432 pages, kaal: 1084 g
  • Ilmumisaeg: 30-Apr-2013
  • Kirjastus: Idea Group,U.S.
  • ISBN-10: 1466638907
  • ISBN-13: 9781466638907
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781466638907.html
Märksõnad:
"This book provides original research on the theoretical and applied aspects of artificial life, as well as addresses scientific, psychological, and social issues of synthetic life-like behavior and abilities"--

Research on living systems, human level artificial systems, and machines that exhibit intelligent behavioral characteristics is fundamental in order to tackle complex and dynamic issues in nature and create applicable solutions. Investigations into Living Systems, Artificial Life, and Real-World Solutions provides original research on the theoretical and applied aspects of artificial life, as well as addresses scientific, psychological, and social issues of synthetic life-like behavior and abilities. This book is essential for researchers, students, and scientists interested in the emerging discipline of artificial life to further understand and solve real-world problems.
Preface xvi
Section 1 Analysis and Modelling of Living Systems
Chapter 1 Resistance of Cell in Fractal Growth in Electrodeposition
1(8)
Y. H. Shaikh
Shivaji Arts
A. R. Khan
K. B. Patange
J. M. Pathan
S. H. Behere
Chapter 2 Propagation of Front Waves in Myelinated Nerve Fibres: New Electrical Transmission Lines Constituted of Linear and Nonlinear Portions
9(8)
Aissatou Mboussi Nkomidio
Paul Woafo
Chapter 3 What Does Artificial Life Tell Us About Death?
17(6)
Carlos Gershenson
Chapter 4 A Constructive Approach to the Evolution of the Planning Ability
23(13)
Kenichi Minoya
Tatsuo Unemi
Reiji Suzuki
Takaya Arita
Chapter 5 Noise Power Spectrum for Firecrackers
36(8)
K. B. Patange
A. R. Khan
S. H. Behere
Y. H. Shaikh
Chapter 6 Traffic Noise: 1/f Characteristics
44(11)
K. B. Patange
A. R. Khan
S. H. Behere
Y. H. Shaikh
Section 2 Mathematical and Analytical Techniques with Applications
Chapter 7 Existence of Positive Solutions for Generalized p-Laplacian BVPs
55(12)
Wei-Cheng Lian
Fu-Hsiang Wong
Jen-Chieh Lo
Cheh-Chih Yeh
Chapter 8 Mathematical Model to Assess the Relative Effectiveness of Rift Valley Fever Countermeasures
67(16)
Holly Gaff
Colleen Burgess
Jacqueline Jackson
Tianchan Niu
Yiannis Papelis
David Hartley
Chapter 9 Resource Distribution Strategies for Mitigation of Cross-Regional Influenza Pandemics
83(23)
Andres Uribe-Sanchez
Alex Savachkin
Chapter 10 A Computational Model of Mitigating Disease Spread in Spatial Networks
106(17)
Taehyong Kim
Kang Li
Aidong Zhang
Surajit Sen
Murali Ramanathan
Chapter 11 Simulating the Spread of an Epidemic in a Small Rural Kansas Town
123(13)
Todd Easton
Kyle Carlyle
Joseph Anderson
Matthew James
Chapter 12 A Structural Model to Investigate Factors Affect Patient Satisfaction and Revisit Intention in Jordanian Hospitals
136(12)
Abbas Al-Refaie
Chapter 13 Generating Fully Bounded Chaotic Attractors
148(6)
Zeraoulia Elhadj
Chapter 14 Orbit of an Image Under Iterated System II
154(15)
S. L. Singh
S. N. Mishra
Sarika Jain
Chapter 15 Superior Koch Curve
169(7)
Sanjeev Kumar Prasad
Section 3 Intelligent Information Processing and Applications
Chapter 16 Mitigation Strategies for Foot and Mouth Disease: A Learning-Based Approach
176(28)
Sohini Roy Chowdhury
Caterina Scoglio
William Hsu
Chapter 17 Considerations on Strategies to Improve EOG Signal Analysis
204(14)
Tobias Wissel
Ramaswamy Palaniappan
Chapter 18 An Autonomous Multi-Agent Simulation Model for Acute Inflammatory Response
218(16)
John Wu
David Ben-Arieh
Zhenzhen Shi
Chapter 19 Rough Set Based Clustering Using Active Learning Approach
234(11)
Rekha Kandwal
Prerna Mahajan
Ritu Vijay
Chapter 20 Intuitionistic Fuzzy 2-Metric Space and Some Topological Properties
245(16)
Q.M. Danish Lohani
Chapter 21 Folding Theory for Fantastic Filters in BL-Algebras
261(11)
Celestin Lele
Chapter 22 An Observer Approach for Deterministic Learning Using Patchy Neural Networks with Applications to Fuzzy Cognitive Networks
272(14)
H. E. Psillakis
M. A. Christodoulou
T. Giotis
Y. Boutalis
Compilation of References 286(25)
About the Contributors 311(11)
Index 322
Dr. George D. Magoulas is a Reader in Computer Science in the School of Computer Science and Information Systems at Birkbeck College, University of London, UK. Dr. Magoulas was educated at the University of Patras, Greece, in Electrical and Computer Engineering (BEng/MEng, PhD), and holds a Post Graduate Certificate in Teaching and Learning in Higher Education from Brunel University, UK. His primary research interests are learning and adaptation methods with applications to intelligent learning environments and adaptive web-based systems. He has published over 100 research contributions in leading international journals, conferences and books, and has participated in several industrial and academic research projects at European and National levels. Dr. Magoulas is a member of the IEEE, the User Modeling Inc., the Technical Chamber of Greece and the Hellenic Artificial Intelligence Society. His work in personalised systems is currently funded by the UK Engineering and Physical Sciences Research Council, and the UK Arts and Humanities Research Board.