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.
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.
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.
Inhaltsangabe
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
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
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