Swarm Intelligence - From Social Bacteria to Humans

List of contents

1 Introduction 2 Swarm Intelligence for Morphogenetic Engineering 3 Ant Cemeteries as a Cluster or as an Aggregate Pile 4 Robust Swarm of Soldier Crabs, Mictyris guinotae, Based on Mutual Anticipation 5 Swarm intelligence in Cybersecurity 6 Emergence of Complex Phenomena in a Simple Reversible Cellular Space 7 Rough Sets over Social Networks 8 Logical Functions as an Idealization of Swarm Basic Reactions 9 On the Motion of Agents with Directional Antennae 10 Induction and Physical Theory Formation as well as Universal Computation by Machine Learning

About the author

Andrew Schumann obtained his MSc (1998) and PhD (2003) degrees in Philosophy from Belarusian State University, Minsk, Belarus. After graduating, he was an Associate Professor at the Belarusian State University, Belarus, and is currently the Head of the Department of Cognitive Science and Mathematical Modeling, University of Information Technology and Management, Rzeszow, Poland. He participated in the project Physarum Chip: Growing Computers from Slime Mould supported by the Seventh Framework Programme (FP7-ICT-2011-8). He has authored books such as Behaviourism in Studying Swarms (2019) and Talmudic Logic (2012) as well as numerous papers.

Summary

The book analyzes new methodologies involved in studying swarm intelligence. It brings together computer scientists and cognitive scientists dealing with swarm patterns from social bacteria to human beings. Topics include swarm computing, soldier crabs computing, social insects computing, ad hoc and sensor wireless network, bio-molecular computing.

Product details

• Authors: Andrew Schumann
• Assisted by: Andrew Schumann (Editor), Schumann Andrew (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 15.05.2022
• EAN: 9780367535957
• ISBN: 978-0-367-53595-7
• No. of pages: 184
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Arithmetic, algebra; SCIENCE / Life Sciences / General, Artificial Intelligence, COMPUTERS / Machine Theory, MATHEMATICS / Arithmetic, environmental science, engineering & technology, algorithms and data structures, Algorithms & data structures, Information technology: general issues, Automatic control engineering, Databases, Environmental science, engineering and technology, Information technology: general topics, COMPUTERS / Data Science / Data Analytics