On the Role of Stigmergy in Cognition
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How Collective Intelligence Fosters Incremental Innovation
Journal of Open Innovation: Technology, Market, and Complexity Article How Collective Intelligence Fosters Incremental Innovation Jung-Yong Lee 1 and Chang-Hyun Jin 2,* 1 Department of Business Administration, SungKyunKwan University, Seoul 03063, Korea 2 Department of Business Administration, Kyonggi University, Suwon 16227, Korea * Correspondence: [email protected] Received: 2 July 2019; Accepted: 7 August 2019; Published: 8 August 2019 Abstract: The study aims to identify motivational factors that lead to collective intelligence and understand how these factors relate to each other and to innovation in enterprises. The study used the convenience sampling of corporate employees who use collective intelligence from corporate panel members (n = 1500). Collective intelligence was found to affect work process, operations, and service innovation. When corporate employees work in an environment where collective intelligence (CI) is highly developed, work procedures or efficiency may differ depending on the onset of CI. This raises the importance of CI within an organization and implies the importance of finding means to vitalize CI. This study provides significant implications for corporations utilizing collective intelligence services, such as online communities. Firstly, such corporations vitalize their services by raising the quality of information and knowledge shared in their workplaces; and secondly, contribution motivations that consider the characteristics of knowledge and information contributors require further development. Keywords: collective intelligence; social contribution motivation; personal contribution motivation; work process; operation; service innovation; incremental innovation 1. Introduction The ubiquity of information communication technologies—increasingly brought on by recent breakthrough developments—is apparent as a means of inducing intrinsic yet innovative change across corporate management practices. Competition is becoming among corporations that fight for survival amidst a rapidly changing global economic environment. -
Evolving Behaviour Trees for Supervisory Control of Robot Swarms
Evolving Behaviour Trees for Supervisory Control of Robot Swarms Elliott Hogg1y, Sabine Hauert1, David Harvey, Arthur Richards1 1Bristol Robotics Laboratory, University of Bristol, UK. E-mail: [email protected], [email protected] Abstract: Supervisory control of swarms is essential to their deployment in real world scenarios to both monitor their operation and provide guidance. We explore mechanisms by which humans might provide supervisory control to swarms and improve their performance. Rather than have humans guess the correct form of supervisory control, we use artificial evolution to learn effective human-readable strategies to help human operators understanding and performance when con- trolling swarms. These strategies can be thoroughly tested and can provide knowledge to be used in the future in a variety of scenarios. Behaviour trees are applied to represent human readable decision strategies which are produced through evolution. We investigate a simulated set of scenarios where a swarm of robots have to explore varying environments and reach sets of objectives. Effective supervisory control strategies are evolved to explore each environment using different local swarm behaviours. The evolved behaviour trees are animated alongside swarm simulations to enable clear under- standing of the supervisory strategies. We conclude by identifying the strengths in accelerated testing and the benefits of this approach for scenario exploration and training of human operators. Keywords: Human Swarm Interaction; Swarm; Artificial Evolution; Supervisory Control; Behaviour Trees 1. INTRODUCTION • Parametric: Adjusting the characteristics of an emer- gent behaviour [6, 12]. Growing interest in the use of swarm systems has led • Environmental: The operator highlights points of inter- to new questions regarding effective design for real-world est within an environment [8, 26]. -
Global Participatory Acts and the State
STRENGTHENING THE STATE THROUGH DISSENT: GLOBAL PARTICIPATORY ACTS AND THE STATE By Patricia Camilien, université Quisqueya INTRODUCTION In Alvin Toffler‟s Future Shock (1970), three types of men coexist on the planet. Men of the present, living in the here and now as they are carried away by the waves and currents of the world; they are rather vulnerable to "future shock". Men of the past, who have remained in a past time long gone, are living in the twentieth century but are still in the twelfth. Men of the future, informed, insightful and perceptive, who are already surfing on the major trends of tomorrow. In today's world, these men of the future are part of a transnational and nomadic elite helped by the increasing liberalization of trade and the disappearance of borders – at the least for them. Transnational companies like oil brokerage firm Trafigura i – made globally (in) famous in 2010 by a journalist‟s tweet about a file hosted on WikiLeaks – exemplify this (future) global world. They enjoy the best of corporate law around the world and diversify their operations accordingly. This use of different national laws according to the benefits they offer is not limited to transnational corporations and their owners, but now extends to individuals who, while they are not billionaires in dollars, are so in reticular connections. Using global participatory acts (heretofore participactions), they seem to be the ones to help the people move from the present to the future. Moral and social entrepreneurs, they are the vanguard of the future changes in society they are trying to drive through networked actions as relayed by mass self- communication. -
Inference of Causal Information Flow in Collective Animal Behavior Warren M
IEEE TMBMC SPECIAL ISSUE 1 Inference of Causal Information Flow in Collective Animal Behavior Warren M. Lord, Jie Sun, Nicholas T. Ouellette, and Erik M. Bollt Abstract—Understanding and even defining what constitutes study how the microscopic interactions scale up to give rise animal interactions remains a challenging problem. Correlational to the macroscopic properties [26]. tools may be inappropriate for detecting communication be- The third of these goals—how the microscopic individual- tween a set of many agents exhibiting nonlinear behavior. A different approach is to define coordinated motions in terms of to-individual interactions determine the macroscopic group an information theoretic channel of direct causal information behavior—has arguably received the most scientific attention flow. In this work, we present an application of the optimal to date, due to the availability of simple models of collective causation entropy (oCSE) principle to identify such channels behavior that are easy to simulate on computers, such as the between insects engaged in a type of collective motion called classic Reynolds [27], Vicsek [26], and Couzin [28] models. swarming. The oCSE algorithm infers channels of direct causal inference between insects from time series describing spatial From these kinds of studies, a significant amount is known movements. The time series are discovered by an experimental about the nature of the emergence of macroscopic patterns protocol of optical tracking. The collection of channels infered and ordering in active, collective systems [29]. But in argu- by oCSE describes a network of information flow within the ing that such simple models accurately describe real animal swarm. We find that information channels with a long spatial behavior, one must implicitly make the assumption that the range are more common than expected under the assumption that causal information flows should be spatially localized. -
Swarm Intelligence
Swarm Intelligence Leen-Kiat Soh Computer Science & Engineering University of Nebraska Lincoln, NE 68588-0115 [email protected] http://www.cse.unl.edu/agents Introduction • Swarm intelligence was originally used in the context of cellular robotic systems to describe the self-organization of simple mechanical agents through nearest-neighbor interaction • It was later extended to include “any attempt to design algorithms or distributed problem-solving devices inspired by the collective behavior of social insect colonies and other animal societies” • This includes the behaviors of certain ants, honeybees, wasps, cockroaches, beetles, caterpillars, and termites Introduction 2 • Many aspects of the collective activities of social insects, such as ants, are self-organizing • Complex group behavior emerges from the interactions of individuals who exhibit simple behaviors by themselves: finding food and building a nest • Self-organization come about from interactions based entirely on local information • Local decisions, global coherence • Emergent behaviors, self-organization Videos • https://www.youtube.com/watch?v=dDsmbwOrHJs • https://www.youtube.com/watch?v=QbUPfMXXQIY • https://www.youtube.com/watch?v=M028vafB0l8 Why Not Centralized Approach? • Requires that each agent interacts with every other agent • Do not possess (environmental) obstacle avoidance capabilities • Lead to irregular fragmentation and/or collapse • Unbounded (externally predetermined) forces are used for collision avoidance • Do not possess distributed tracking (or migration) -
Minding the Body Interacting Socially Through Embodied Action
Linköping Studies in Science and Technology Dissertation No. 1112 Minding the Body Interacting socially through embodied action by Jessica Lindblom Department of Computer and Information Science Linköpings universitet SE-581 83 Linköping, Sweden Linköping 2007 © Jessica Lindblom 2007 Cover designed by Christine Olsson ISBN 978-91-85831-48-7 ISSN 0345-7524 Printed by UniTryck, Linköping 2007 Abstract This dissertation clarifies the role and relevance of the body in social interaction and cognition from an embodied cognitive science perspective. Theories of embodied cognition have during the past two decades offered a radical shift in explanations of the human mind, from traditional computationalism which considers cognition in terms of internal symbolic representations and computational processes, to emphasizing the way cognition is shaped by the body and its sensorimotor interaction with the surrounding social and material world. This thesis develops a framework for the embodied nature of social interaction and cognition, which is based on an interdisciplinary approach that ranges historically in time and across different disciplines. It includes work in cognitive science, artificial intelligence, phenomenology, ethology, developmental psychology, neuroscience, social psychology, linguistics, communication, and gesture studies. The theoretical framework presents a thorough and integrated understanding that supports and explains the embodied nature of social interaction and cognition. It is argued that embodiment is the part and parcel of social interaction and cognition in the most general and specific ways, in which dynamically embodied actions themselves have meaning and agency. The framework is illustrated by empirical work that provides some detailed observational fieldwork on embodied actions captured in three different episodes of spontaneous social interaction in situ. -
Markets Not Capitalism Explores the Gap Between Radically Freed Markets and the Capitalist-Controlled Markets That Prevail Today
individualist anarchism against bosses, inequality, corporate power, and structural poverty Edited by Gary Chartier & Charles W. Johnson Individualist anarchists believe in mutual exchange, not economic privilege. They believe in freed markets, not capitalism. They defend a distinctive response to the challenges of ending global capitalism and achieving social justice: eliminate the political privileges that prop up capitalists. Massive concentrations of wealth, rigid economic hierarchies, and unsustainable modes of production are not the results of the market form, but of markets deformed and rigged by a network of state-secured controls and privileges to the business class. Markets Not Capitalism explores the gap between radically freed markets and the capitalist-controlled markets that prevail today. It explains how liberating market exchange from state capitalist privilege can abolish structural poverty, help working people take control over the conditions of their labor, and redistribute wealth and social power. Featuring discussions of socialism, capitalism, markets, ownership, labor struggle, grassroots privatization, intellectual property, health care, racism, sexism, and environmental issues, this unique collection brings together classic essays by Cleyre, and such contemporary innovators as Kevin Carson and Roderick Long. It introduces an eye-opening approach to radical social thought, rooted equally in libertarian socialism and market anarchism. “We on the left need a good shake to get us thinking, and these arguments for market anarchism do the job in lively and thoughtful fashion.” – Alexander Cockburn, editor and publisher, Counterpunch “Anarchy is not chaos; nor is it violence. This rich and provocative gathering of essays by anarchists past and present imagines society unburdened by state, markets un-warped by capitalism. -
Collective Intelligence and the Blockchain
Collective intelligence and the blockchain: Technology, communities and social experiments Andrea Baronchelli1,2,3,* 1City University of London, Department of Mathematics, London EC1V 0HB, UK 2The Alan Turing Institute, British Library, 96 Euston Road, London NW12DB, UK 3UCL Centre for Blockchain Technologies, University College London, London, UK. *[email protected] Blockchains are still perceived chiefly as a new technology. But each blockchain is also a community and a social experiment, built around social consensus. Here I discuss three examples showing how collective intelligence can help, threat or capitalize on blockchain- based ecosystems. They concern the immutability of smart contracts, code transparency and new forms of property. The examples show that more research, new norms and, eventually, laws are needed to manage the interaction between collective behaviour and the blockchain technology. Insights from researchers in collective intelligence can help society rise up to the challenge. For most people, blockchain technology is about on-chain consensus. And it certainly is. A blockchain provides users with a method and incentives for validating and storing a value or transaction without the need to trust a central authority, or any other participants in the system. Once approved, the transaction is recorded in an open ledger that cannot be altered retroactively. Since the system is trustless, everyone can join the network and read, write, or participate within the blockchain (in this article, I am considering only public and permissionless blockchains).1 But a public blockchain is not a self-contained universe. As a socio-technical system, its life extents behind the user base. For example, a blockchain can provide competition to existent socio-economic players, and it is shaped by what users do with it and, eventually, by the law.2, 3 Continuous updates and strategic decisions are therefore required to keep up with such a rapidly evolving landscape, meaning that blockchains are not self-sufficient. -
Collective Intelligence: an Overview
Collective Intelligence: An Overview What is Collective Intelligence? The Internet has given rise to some remarkable technologies that enable people to collaborate en masse. In barely a decade, the biggest encyclopaedia in human history has been written by millions of authors with no centralised control. In under a year, ordinary people classified more than 50 million photos of distant worlds to help astronomers understand how galaxies are formed. All over the world, organisations are starting to open up social networks and collaborative environments from which emanate an endless stream of data and insight. The potential that lies within interconnected networks of computers and humans is only just starting to be realised. We all possess intelligence. However, intelligence can be thought of not only as something that arises within human brains – it also arises in groups of people. This is Collective Intelligence – individuals acting together to combine their knowledge and insight. Collective Intelligence is an emergent property. It emerges from the group, it does not reside within any individual members. The Wisdom of Crowds is simply another term for Collective Intelligence, stemming from the work of British scientist Sir Francis Galton. At a livestock exhibition in 1906, Galton observed a competition where people had to guess the weight of an ox. At the end of the contest, Galton gathered all the guesses and calculated the average. The crowd’s estimate turned out to be near perfect. Galton referred to this as the collective wisdom of the crowd: the fact that groups of people can be more intelligent than an intelligent individual and that groups do not always require intelligent people to reach a smart decision or outcome. -
Henry Jenkins Convergence Culture Where Old and New Media
Henry Jenkins Convergence Culture Where Old and New Media Collide n New York University Press • NewYork and London Skenovano pro studijni ucely NEW YORK UNIVERSITY PRESS New York and London www.nyupress. org © 2006 by New York University All rights reserved Library of Congress Cataloging-in-Publication Data Jenkins, Henry, 1958- Convergence culture : where old and new media collide / Henry Jenkins, p. cm. Includes bibliographical references and index. ISBN-13: 978-0-8147-4281-5 (cloth : alk. paper) ISBN-10: 0-8147-4281-5 (cloth : alk. paper) 1. Mass media and culture—United States. 2. Popular culture—United States. I. Title. P94.65.U6J46 2006 302.230973—dc22 2006007358 New York University Press books are printed on acid-free paper, and their binding materials are chosen for strength and durability. Manufactured in the United States of America c 15 14 13 12 11 p 10 987654321 Skenovano pro studijni ucely Contents Acknowledgments vii Introduction: "Worship at the Altar of Convergence": A New Paradigm for Understanding Media Change 1 1 Spoiling Survivor: The Anatomy of a Knowledge Community 25 2 Buying into American Idol: How We are Being Sold on Reality TV 59 3 Searching for the Origami Unicorn: The Matrix and Transmedia Storytelling 93 4 Quentin Tarantino's Star Wars? Grassroots Creativity Meets the Media Industry 131 5 Why Heather Can Write: Media Literacy and the Harry Potter Wars 169 6 Photoshop for Democracy: The New Relationship between Politics and Popular Culture 206 Conclusion: Democratizing Television? The Politics of Participation 240 Notes 261 Glossary 279 Index 295 About the Author 308 V Skenovano pro studijni ucely Acknowledgments Writing this book has been an epic journey, helped along by many hands. -
Mobility and Infectiousness in the Spatial Spread of an Emerging Fungal Pathogen
Received: 7 May 2020 | Accepted: 11 January 2021 DOI: 10.1111/1365-2656.13439 RESEARCH ARTICLE Mobility and infectiousness in the spatial spread of an emerging fungal pathogen Kate E. Langwig1 | J. Paul White2 | Katy L. Parise3 | Heather M. Kaarakka2 | Jennifer A. Redell2 | John E. DePue4 | William H. Scullon5 | Jeffrey T. Foster3 | A. Marm Kilpatrick6 | Joseph R. Hoyt1 1Department of Biological Sciences, Virginia Polytechnic Institute, Blacksburg, VA, USA; 2Wisconsin Department of Natural Resources, Madison, WI, USA; 3Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA; 4Michigan Department of Natural Resources, Baraga, MI, USA; 5Michigan Department of Natural Resources, Norway, MI, USA and 6Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA Correspondence Kate E. Langwig Abstract Email: [email protected] 1. Emerging infectious diseases can have devastating effects on host communities, caus- Funding information ing population collapse and species extinctions. The timing of novel pathogen arrival National Science Foundation, Grant/Award into naïve species communities can have consequential effects that shape the trajec- Number: DEB- 1115895, DEB- 1336290 and DEB- 1911853; U.S. Fish and Wildlife tory of epidemics through populations. Pathogen introductions are often presumed Service, Grant/Award Number: F17AP00591 to occur when hosts are highly mobile. However, spread patterns can be influenced Handling Editor: Isabella Cattadori by a multitude of other factors including host body condition and infectiousness. 2. White- nose syndrome (WNS) is a seasonal emerging infectious disease of bats, which is caused by the fungal pathogen Pseudogymnoascus destructans. Within- site transmission of P. destructans primarily occurs over winter; however, the influence of bat mobility and infectiousness on the seasonal timing of pathogen spread to new populations is unknown. -
Migration and Conservation: Frameworks, Gaps, and Synergies in Science, Law, and Management
GAL.MERETSKY.DOC 5/31/2011 6:00 PM MIGRATION AND CONSERVATION: FRAMEWORKS, GAPS, AND SYNERGIES IN SCIENCE, LAW, AND MANAGEMENT BY VICKY J. MERETSKY,* JONATHAN W. ATWELL** & JEFFREY B. HYMAN*** Migratory animals provide unique spectacles of cultural, ecological, and economic importance. However, the process of migration is a source of risk for migratory species as human actions increasingly destroy and fragment habitat, create obstacles to migration, and increase mortality along the migration corridor. As a result, many migratory species are declining in numbers. In the United States, the Endangered Species Act provides some protection against extinction for such species, but no protection until numbers are severely reduced, and no guarantee of recovery to population levels associated with cultural, ecological, or economic significance. Although groups of species receive some protection from statutes such as the Migratory Bird Treaty Act and Marine Mammal Protection Act, there is no coordinated system for conservation of migratory species. In addition, information needed to protect migratory species is often lacking, limiting options for land and wildlife managers who seek to support these species. In this Article, we outline the existing scientific, legal, and management information and approaches to migratory species. Our objective is to assess present capacity to protect the species and the phenomenon of migration, and we argue that all three disciplines are necessary for effective conservation. We find significant capacity to support conservation in all three disciplines, but no organization around conservation of migration within any discipline or among the three disciplines. Areas of synergy exist among the disciplines but not as a result of any attempt for coordination.