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What is Swarm Intelligence

Chapter 1
Handbook of Research on Cross-Cultural Online Learning in Higher Education
The collective behavior of decentralized, self-organized systems.
Published in Chapter:
Cross-Cultural Aspects of Collective Intelligence Online
Lesley S. J. Farmer (California State University – Long Beach, USA)
Copyright: © 2019 |Pages: 21
DOI: 10.4018/978-1-5225-8286-1.ch001
Abstract
Today's wisdom society depends on intellectual capital, that is, collective knowledge and informational assets. Increasingly, the global scene reflects a more interactive mode relative to information, particularly because of social media. As heterogeneous groups bring different expertise and perspectives, their gathered and organized knowledge can lead to more informed decisions and resultant actions. This collective intelligence has been transformed with the advent of easily accessible interactive technologies. Adding to the complexity, cross-cultural aspects impact the processes leading to collective intelligence as culture impacts individual and group interaction. This chapter explores the intersection of collective intelligence, online technology, and cross-cultural aspects. The chapter also shares research-based conditions to optimize that intersection.
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Chapter 2
The Development of Single-Document Abstractive Text Summarizer During the Last Decade
The study of the behavior and the interaction of agents with each other and with their environment, simulating the nature system.
Published in Chapter: The Development of Single-Document Abstractive Text Summarizer During the Last Decade; From: Trends and Applications of Text Summarization Techniques
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Chapter 596
Template Matching in Digital Images with Swarm Intelligence
A discipline of Computational Intelligence inspired by the behavior analysis of groups of animals.
Published in Chapter: Template Matching in Digital Images with Swarm Intelligence; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 598
Big Data and Simulations for the Solution of Controversies in Small Businesses
Focus is dedicated to intelligent behavior swarms, i.e. large numbers of individuals. Nature is an inspiration for the designed method in many fields such as chemistry, engineering, environmental modeling, financial services and information technology.
Published in Chapter: Big Data and Simulations for the Solution of Controversies in Small Businesses; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 224
Swarm Intelligence Approach for Ad-Hoc Networks
Group of bio-inspired algorithms which is modelled on the collective behaviour of a group of social organisms such as ants, termites, bees, fishes and birds.
Published in Chapter: Swarm Intelligence Approach for Ad-Hoc Networks; From: Encyclopedia of Artificial Intelligence
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Chapter 16
A Comprehensive Review of Nature-Inspired Algorithms for Feature Selection
The behavioural models of social insects such as ant colonies, honey bees, firefly, and bird flocks are termed as swarm intelligence.
Published in Chapter: A Comprehensive Review of Nature-Inspired Algorithms for Feature Selection; From: Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
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Chapter 143
Automation of Marketing Processes and the Discovery of Knowledge for CRM
Focus is dedicated to intelligent behavior swarms, i.e. large numbers of individuals. Nature is an inspiration for the designed method in many fields such as chemistry, engineering, environmental modeling, financial services, and information technology.
Published in Chapter: Automation of Marketing Processes and the Discovery of Knowledge for CRM; From: Encyclopedia of Organizational Knowledge, Administration, and Technology
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Chapter 7
A Hybrid Approach using the Bees Algorithm and Fuzzy-AHP for Supplier Selection
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Chapter 37
Collective Intelligence
Studies on societies of insects led to coin this expression. The striking characteristic of swarm intelligence is that it emerges from many simple interactions between individuals which show no level of intelligence at all. Swarm intelligence has been a source of successful models for the solution of optimization problems
Published in Chapter: Collective Intelligence; From: Encyclopedia of Networked and Virtual Organizations
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Chapter 50
Cuckoo Search Algorithm
Collective behaviors of ants, fishes, birds, bees and other social instincts or animals.
Published in Chapter: Cuckoo Search Algorithm; From: Encyclopedia of Business Analytics and Optimization
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Chapter 18
Artificial Bee Colony Algorithm
Collective behaviors of ants, fishes, birds, bees and other social instincts or animals.
Published in Chapter: Artificial Bee Colony Algorithm; From: Encyclopedia of Business Analytics and Optimization
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Chapter 19
Variable Selection Method for Regression Models Using Computational Intelligence Techniques
It refers to the peculiar group behavior followed by any of the biological systems.
Published in Chapter: Variable Selection Method for Regression Models Using Computational Intelligence Techniques; From: Handbook of Research on Machine and Deep Learning Applications for Cyber Security
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Chapter 22
Swarm Intelligence for Multi-Objective Optimization in Engineering Design
It deals with algorithms inspired from co-operative group intelligence and/or collective behavior of self-organized systems, where the agents perform explorations while interacting with neighbors and the environment.
Published in Chapter: Swarm Intelligence for Multi-Objective Optimization in Engineering Design; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 1
Applying Artificial Intelligence to Financial Investing
Intelligence based on many individuals and decentralized control and self-organization.
Published in Chapter: Applying Artificial Intelligence to Financial Investing; From: Advanced Methodologies and Technologies in Business Operations and Management
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Chapter 2
Ferreting Out Silences and Invisibilities in Electronic Hive Minds: Identifying Absent/Non-Present, Latent/Hidden, and Shadowed/Obfuscated Messaging
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Chapter 37
Bio-Inspired Algorithms in Bioinformatics I
An artificial intelligence technique based on the study of collective behaviour in decentralised, self-organised systems.
Published in Chapter: Bio-Inspired Algorithms in Bioinformatics I; From: Encyclopedia of Artificial Intelligence
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Chapter 11
A Self-Organized Software Deployment Architecture for a Swarm Intelligent MANET
Swarm intelligence is the collective behavior of decentralized, self-organized natural or artificial systems.
Published in Chapter: A Self-Organized Software Deployment Architecture for a Swarm Intelligent MANET; From: Handbook of Research on Swarm Intelligence in Engineering
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Chapter 82
Modern Information Technology for Suitable Development in Small Business with Links to Agile Methodology and Swarm Intelligence
Focus is dedicated to intelligent behavior swarms, i.e. large numbers of individuals. Nature is an inspiration for the designed method in many fields such as chemistry, engineering, environmental modeling, financial services and information technology.
Published in Chapter: Modern Information Technology for Suitable Development in Small Business with Links to Agile Methodology and Swarm Intelligence; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 1
Applying Artificial Intelligence to Financial Investing
Intelligence based on many individuals and decentralized control and self-organization.
Published in Chapter: Applying Artificial Intelligence to Financial Investing; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 17
Nature-Inspired-Algorithms-Based Cellular Location Management: Scope and Applications
Sub-class of Nature-Inspired algorithms based on behavioral models of social creatures such as ant colonies, honey bees, firefly, fish school, bird flocks etc.
Published in Chapter: Nature-Inspired-Algorithms-Based Cellular Location Management: Scope and Applications; From: Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
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Chapter 20
Particle Swarm Optimization-Based Session Key Generation for Wireless Communication (PSOSKG)
Swarm intelligence is aimed at collective behaviour of intelligent agents in decentralized systems. Most of the basic ideas are derived from the real swarms in the nature, which includes particle swarm, ant colonies, bird flocking, honeybees, bacteria and microorganisms, etc.
Published in Chapter: Particle Swarm Optimization-Based Session Key Generation for Wireless Communication (PSOSKG); From: Handbook of Research on Swarm Intelligence in Engineering
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Chapter 9
Artificial Intelligence and Investing
Intelligence based on many individuals and decentralized control and self-organization.
Published in Chapter: Artificial Intelligence and Investing; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 16
Derivation and Simulation of an Efficient QoS Scheme in MANET through Optimised Messaging Based on ABCO Using QualNet
The cooperative behaviour of decentralized, self-organized systems, natural or artificial.
Published in Chapter: Derivation and Simulation of an Efficient QoS Scheme in MANET through Optimised Messaging Based on ABCO Using QualNet; From: Handbook of Research on Swarm Intelligence in Engineering
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Chapter 18
Hybrid Swarm Intelligence
The collective behavior of decentralized, self-organized systems, natural or artificial.
Published in Chapter: Hybrid Swarm Intelligence; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 23
Engineering Emergent Ecologies of Interacting Artefacts
“… an alternative way of designing intelligent systems, in which autonomy, emergence and distributed functioning replace control, preprogramming, and centralisation” (Bonabeau et al., 1999).
Published in Chapter: Engineering Emergent Ecologies of Interacting Artefacts; From: Handbook of Research on User Interface Design and Evaluation for Mobile Technology
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Chapter 11
Detection and Prediction of Spam Emails Using Machine Learning Models
A concept in artificial intelligence which considers the collective behavior of decentralized, self-organized natural and artificial systems.
Published in Chapter: Detection and Prediction of Spam Emails Using Machine Learning Models; From: Handbook of Research on Cyber Crime and Information Privacy
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Chapter 25
Cockroach Inspired Shelter Seeking for Holonomic Swarms of Flying Robots
Swarm Intelligence (SI) is a decentralized or a distributed system where multiple units using very simple components can make quick and smart decisions without the help of an external controller. Although the units are equally “smart”, the overall intelligence of the group is higher than the intelligence of the single unit.
Published in Chapter: Cockroach Inspired Shelter Seeking for Holonomic Swarms of Flying Robots; From: Handbook of Research on Design, Control, and Modeling of Swarm Robotics
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Chapter 2
Particle Swarm Algorithm: An Application on Portfolio Optimization
That is interested in designing of intelligent systems inspired from the simultaneously behaviour of social animal swarms.
Published in Chapter: Particle Swarm Algorithm: An Application on Portfolio Optimization; From: Metaheuristic Approaches to Portfolio Optimization
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Chapter 1
Anexact Paths: Computation, Continuity, and Tectonics in the Design Process
The collective behavior of decentralized, self-organized systems, natural or artificial.
Published in Chapter: Anexact Paths: Computation, Continuity, and Tectonics in the Design Process; From: Handbook of Research on Form and Morphogenesis in Modern Architectural Contexts
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Chapter 4
Studies of Computational Intelligence Based on the Behaviour of Cockroaches
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. Examples in natural systems of SI include ant colonies, bird flocking, animal herding, bacterial growth and fish schooling. It is based on the collective behavior of decentralized, self-organized systems.
Published in Chapter: Studies of Computational Intelligence Based on the Behaviour of Cockroaches; From: Handbook of Research on Swarm Intelligence in Engineering
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Chapter 4
Parameter Settings in Particle Swarm Optimization
Branch of artificial intelligence which studies collective behavior.
Published in Chapter: Parameter Settings in Particle Swarm Optimization; From: Handbook of Research on Soft Computing and Nature-Inspired Algorithms
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Chapter 3
Swarm Intelligence in Solving Bio-Inspired Computing Problems: Reviews, Perspectives, and Challenges
The behavioural models of social insects such as ant colonies, honey bees, firefly, and bird flocks are termed as swarm intelligence.
Published in Chapter: Swarm Intelligence in Solving Bio-Inspired Computing Problems: Reviews, Perspectives, and Challenges; From: Handbook of Research on Swarm Intelligence in Engineering
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Chapter 2
Application and Evaluation of Bee-Based Algorithms in Scheduling: A Case Study on Project Scheduling
The collective behavior of animal colonies who find organized solutions for their survival in nature.
Published in Chapter: Application and Evaluation of Bee-Based Algorithms in Scheduling: A Case Study on Project Scheduling; From: Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems
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Chapter 1
A Survey on Swarm Robotics
A soft bionic of the nature swarms, i.e. it simulates the social structures and interactions of the swarm rather than structure of an individual in traditional artificial intelligence.
Published in Chapter: A Survey on Swarm Robotics; From: Handbook of Research on Design, Control, and Modeling of Swarm Robotics
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Chapter 9
Quantum Inspired Swarm Optimization for Multi-Level Image Segmentation Using BDSONN Architecture
Swarm intelligence is the collective behavior of decentralized, self-organized systems, natural or artificial.
Published in Chapter: Quantum Inspired Swarm Optimization for Multi-Level Image Segmentation Using BDSONN Architecture; From: Handbook of Research on Swarm Intelligence in Engineering
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Chapter 23
Present State of Swarm Intelligence and Future Directions
Some kind of intelligence defining collective behaviors of swarms in the nature, or artificial self-organized systems in an algorithm.
Published in Chapter: Present State of Swarm Intelligence and Future Directions; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 225
Swarm Robotics
Describes attempts to design algorithms and to solve problems, using methods inspired by observations of the collective behaviour of biological groups such as insect colonies.
Published in Chapter: Swarm Robotics; From: Encyclopedia of Artificial Intelligence
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Chapter 13
Optimizing Learning Weights of Back Propagation Using Flower Pollination Algorithm for Diabetes and Thyroid Data Classification
It is the joint conduct of dispersed, self-organized scheme, natural or artificial. The concept is used in a work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.
Published in Chapter: Optimizing Learning Weights of Back Propagation Using Flower Pollination Algorithm for Diabetes and Thyroid Data Classification; From: Mobile Devices and Smart Gadgets in Medical Sciences
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Chapter 12
Bio-Inspired Grid Resource Management
Emergent behavior, observed in numerous natural entities, is modeled to explore collective (or distributed) problem solving without centralized control or the provision of a global model. These models are collectively called Swarm Intelligence models and are characterized by their decentralized and self-organizing nature.
Published in Chapter: Bio-Inspired Grid Resource Management; From: Handbook of Research on Grid Technologies and Utility Computing: Concepts for Managing Large-Scale Applications
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Chapter 10
Optimizing WSNs for CPS Using Machine Learning Techniques
It is the discipline dealing with natural and artificial systems consisting of many individuals who coordinate through decentralized monitoring and self-organization.
Published in Chapter: Optimizing WSNs for CPS Using Machine Learning Techniques; From: Artificial Intelligence Paradigms for Smart Cyber-Physical Systems
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Chapter 10
Swarm Intelligence in Text Document Clustering
Swarm intelligence is an emerging field of biologically-inspired artificial intelligence based on the collective behavior model of social insect colonies and other animal societies.
Published in Chapter: Swarm Intelligence in Text Document Clustering; From: Handbook of Research on Text and Web Mining Technologies
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Chapter 17
A Uniformly Distributed Mobile Sensor Nodes Deployment Strategy Using Swarm Intelligence
An idea generated in AI, which is thecollective behavior of self-organized natural or artificial systems without any central control.
Published in Chapter: A Uniformly Distributed Mobile Sensor Nodes Deployment Strategy Using Swarm Intelligence; From: Handbook of Research on Swarm Intelligence in Engineering
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Chapter 191
Particle Swarm Optimization and Image Analysis
Collection of techniques, usually inspired by nature, in which high-level intelligent behaviors emerge as a result of the interaction among a high number of agents which, individually, perform apparently trivial, low-level tasks.
Published in Chapter: Particle Swarm Optimization and Image Analysis; From: Encyclopedia of Artificial Intelligence
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