Stigmergic Epistemology, Stigmergic Cognition Action Editor: Ron Sun Leslie Marsh A,*, Christian Onof B,C
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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. -
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. -
Self-Organized Flocking with a Heterogeneous Mobile Robot Swarm
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by PUblication MAnagement Self-Organized Flocking with a Heterogeneous Mobile Robot Swarm Alessandro Stranieri Eliseo Ferrante Ali Emre Turgut Vito Trianni Carlo Pinciroli Mauro Birattari Marco Dorigo Universite´ Libre de Bruxelles, 1050, Belgium fastranie, eferrante, aturgut, vtrianni, cpinciro, mbiro, [email protected] Abstract orientation of neighboring robots or, as explained in this pa- per, a communication device. Therefore, understanding if a In this paper, we study self-organized flocking in a swarm of behaviorally heterogeneous mobile robots: aligning and non- swarm can achieve flocking with only a few aligning robots aligning robots. Aligning robots are capable of agreeing on can support the design of swarms with minimal hardware a common heading direction with other neighboring aligning requirements. robots. Conversely, non-aligning robots lack this capability. We conduct simulation-based experiments and we mea- Studying this type of heterogeneity in self-organized flock- sure self-organized flocking performance in terms of the de- ing is important as it can support the design of a swarm with minimal hardware requirements. Through systematic simu- gree of group order, group cohesiveness and average group lations, we show that a heterogeneous group of aligning and speed. With respect to these criteria, we found that the non-aligning robots can achieve good performance in flock- swarm achieves good flocking performance when the pro- ing behavior. We further show that the performance is af- portion of aligning robots is high. Conversely, this perfor- fected not only by the proportion of aligning robots, but also mance decreases as the proportion gets lower. -
An Exploration in Stigmergy-Based Navigation Algorithms
From Ants to Service Robots: an Exploration in Stigmergy-Based Navigation Algorithms عمر بهر تيری محبت ميری خدمت گر رہی ميں تری خدمت کےقابل جب هوا توچل بسی )اقبال( To my late parents with love and eternal appreciation, whom I lost during my PhD studies Örebro Studies in Technology 79 ALI ABDUL KHALIQ From Ants to Service Robots: an Exploration in Stigmergy-Based Navigation Algorithms © Ali Abdul Khaliq, 2018 Title: From Ants to Service Robots: an Exploration in Stigmergy-Based Navigation Algorithms Publisher: Örebro University 2018 www.publications.oru.se Print: Örebro University, Repro 05/2018 ISSN 1650-8580 ISBN 978-91-7529-253-3 Abstract Ali Abdul Khaliq (2018): From Ants to Service Robots: an Exploration in Stigmergy-Based Navigation Algorithms. Örebro Studies in Technology 79. Navigation is a core functionality of mobile robots. To navigate autonomously, a mobile robot typically relies on internal maps, self-localization, and path plan- ning. Reliable navigation usually comes at the cost of expensive sensors and often requires significant computational overhead. Many insects in nature perform robust, close-to-optimal goal directed naviga- tion without having the luxury of sophisticated sensors, powerful computational resources, or even an internally stored map. They do so by exploiting a simple but powerful principle called stigmergy: they use their environment as an external memory to store, read and share information. In this thesis, we explore the use of stigmergy as an alternative route to realize autonomous navigation in practical robotic systems. In our approach, we realize a stigmergic medium using RFID (Radio Frequency Identification) technology by embedding a grid of read-write RFID tags in the floor. -
Flocks, Herds, and Schools: a Distributed Behavioral Model 1
Published in Computer Graphics, 21(4), July 1987, pp. 25-34. (ACM SIGGRAPH '87 Conference Proceedings, Anaheim, California, July 1987.) Flocks, Herds, and Schools: A Distributed Behavioral Model 1 Craig W. Reynolds Symbolics Graphics Division [obsolete addresses removed 2] Abstract The aggregate motion of a flock of birds, a herd of land animals, or a school of fish is a beautiful and familiar part of the natural world. But this type of complex motion is rarely seen in computer animation. This paper explores an approach based on simulation as an alternative to scripting the paths of each bird individually. The simulated flock is an elaboration of a particle system, with the simulated birds being the particles. The aggregate motion of the simulated flock is created by a distributed behavioral model much like that at work in a natural flock; the birds choose their own course. Each simulated bird is implemented as an independent actor that navigates according to its local perception of the dynamic environment, the laws of simulated physics that rule its motion, and a set of behaviors programmed into it by the "animator." The aggregate motion of the simulated flock is the result of the dense interaction of the relatively simple behaviors of the individual simulated birds. Categories and Subject Descriptors: 1.2.10 [Artificial Intelligence]: Vision and Scene Understanding; 1.3.5 [Computer Graphics]: Computational Geometry and Object Modeling; 1.3.7 [Computer Graphics]: Three Dimensional Graphics and Realism-Animation: 1.6.3 [Simulation and Modeling]: Applications. General Terms: Algorithms, design.b Additional Key Words, and Phrases: flock, herd, school, bird, fish, aggregate motion, particle system, actor, flight, behavioral animation, constraints, path planning. -
Using Stigmergy to Distinguish Event-Specific Topics in Social
Paper draft - please export an up-to-date reference from http://www.iet.unipi.it/m.cimino/pub Using Stigmergy to Distinguish Event-Specific Topics in Social Discussions 1, 1 2 1 Mario G. C. A. Cimino *, Alessandro Lazzeri , Witold Pedrycz and Gigliola Vaglini 1 Department of Information Engineering, University of Pisa, 56122 Pisa, Italy; [email protected] (A.L.); [email protected] (G.V.) 2 Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2G7, Canada; [email protected] * Correspondence: [email protected] or [email protected]; Tel.: +39-050-221-7455 Abstract: In settings wherein discussion topics are not statically assigned, such as in microblogs, a need exists for identifying and separating topics of a given event. We approach the problem by using a novel type of similarity, calculated between the major terms used in posts. The occurrences of such terms are periodically sampled from the posts stream. The generated temporal series are processed by using marker-based stigmergy, i.e., a biologically-inspired mechanism performing scalar and temporal information aggregation. More precisely, each sample of the series generates a functional structure, called mark, associated with some concentration. The concentrations disperse in a scalar space and evaporate over time. Multiple deposits, when samples are close in terms of instants of time and values, aggregate in a trail and then persist longer than an isolated mark. To measure similarity between time series, the Jaccard’s similarity coefficient between trails is calculated. Discussion topics are generated by such similarity measure in a clustering process using Self-Organizing Maps, and are represented via a colored term cloud. -
Expert Assessment of Stigmergy: a Report for the Department of National Defence
Expert Assessment of Stigmergy: A Report for the Department of National Defence Contract No. W7714-040899/003/SV File No. 011 sv.W7714-040899 Client Reference No.: W7714-4-0899 Requisition No. W7714-040899 Contact Info. Tony White Associate Professor School of Computer Science Room 5302 Herzberg Building Carleton University 1125 Colonel By Drive Ottawa, Ontario K1S 5B6 (Office) 613-520-2600 x2208 (Cell) 613-612-2708 [email protected] http://www.scs.carleton.ca/~arpwhite Expert Assessment of Stigmergy Abstract This report describes the current state of research in the area known as Swarm Intelligence. Swarm Intelligence relies upon stigmergic principles in order to solve complex problems using only simple agents. Swarm Intelligence has been receiving increasing attention over the last 10 years as a result of the acknowledgement of the success of social insect systems in solving complex problems without the need for central control or global information. In swarm- based problem solving, a solution emerges as a result of the collective action of the members of the swarm, often using principles of communication known as stigmergy. The individual behaviours of swarm members do not indicate the nature of the emergent collective behaviour and the solution process is generally very robust to the loss of individual swarm members. This report describes the general principles for swarm-based problem solving, the way in which stigmergy is employed, and presents a number of high level algorithms that have proven utility in solving hard optimization and control problems. Useful tools for the modelling and investigation of swarm-based systems are then briefly described. -
Interaction Ruling Animal Collective Behavior Depends on Topological Rather Than Metric Distance: Evidence from a Field Study
Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study M. Ballerini*†, N. Cabibbo‡§, R. Candelier‡¶, A. Cavagna*ʈ**, E. Cisbani†, I. Giardina*ʈ, V. Lecomte††‡‡, A. Orlandi*, G. Parisi*‡§**, A. Procaccini*‡, and M. Viale‡§§, and V. Zdravkovic* *Centre for Statistical Mechanics and Complexity (SMC), Consiglio Nazionale delle Ricerche-Istituto Nazionale per la Fisica della Materia, ‡Dipartimento di Fisica, and §Sezione Instituto Nazionale di Fisica Nucleare, Universita’ di Roma ‘‘La Sapienza,’’ Piazzale Aldo Moro 2, 00185 Roma, Italy; †Istituto Superiore di Sanita’, viale Regina Elena 299, 00161 Roma, Italy; ʈIstituto dei Sistemi Complessi (ISC), Consiglio Nazionale delle Ricerche, via dei Taurini 19, 00185 Roma, Italy; and ††Laboratoire Matie`re et Syste`mes Complexes, (Centre National de la Recherche Scientifique Unite Mixte de Recherche 7057), Universite´Paris VII, 10 rue Alice Domon et Le´onie Duquet, 75205 Paris Cedex 13, France Contributed by G. Parisi, December 4, 2007 (sent for review September 25, 2007) Numerical models indicate that collective animal behavior may no bird remains isolated, and soon the flock reforms as whole. emerge from simple local rules of interaction among the individ- The question we want to answer is ‘‘what kind of interaction uals. However, very little is known about the nature of such maintains cohesion in such a robust way?’’ interaction, so that models and theories mostly rely on aprioristic To grant cohesion, models make the sound assumption that assumptions. By reconstructing the three-dimensional positions of individuals align and attract each other, and that such interaction individual birds in airborne flocks of a few thousand members, we decays with increasing distance between individuals. -
Stigmergy As a Universal Coordination Mechanism: Components, Varieties and Applications
to appear in T. Lewis & L. Marsh (Eds.), Human Stigmergy: Theoretical Developments and New Applications. Springer. Stigmergy as a Universal Coordination Mechanism: components, varieties and applications Francis Heylighen Evolution, Complexity and Cognition group Vrije Universiteit Brussel Abstract: The concept of stigmergy has been used to analyze self-organizing activities in an ever-widening range of domains, including social insects, robotics, web communities, and human society. Yet, it is still poorly understood, and as such its full power remains underappreciated. The present paper clarifies the issue by defining stigmergy as a mechanism of indirect coordination in which the trace left by an action in a medium stimulates a subsequent action. It then analyses the fundamental concepts used in the definition: action, agent, medium, trace and coordination. Stigmergy enables complex, coordinated activity without any need for planning, control, communication, simultaneous presence, or even mutual awareness. This makes the concept applicable to a very broad variety of cases, from chemical reactions to individual cognition and Internet-supported collaboration in Wikipedia. The paper classifies different varieties of stigmergy according to general aspects (number of agents, scope, persistence, sematectonic vs. marker-based, and quantitative vs. qualitative), while emphasizing the fundamental continuity between these cases. This continuity can be understood from a non-linear dynamics that lets more complex forms of coordination evolve out of simpler ones. The paper concludes with two specifically human applications, cognition and cooperation, suggesting that without stigmergy these phenomena may never have evolved in the first place. Past, present and future of the “stigmergy” concept The concept of stigmergy was introduced by the French entomologist Pierre-Paul Grassé (Grassé, 1959) to describe a mechanism of coordination used by insects. -
Diffusion of Individual Birds in Starling Flocks
Diffusion of individual birds in starling flocks A. Cavagna♯,♭, S. M. Duarte Queir´os♯, I. Giardina♯,♭, F. Stefanini† and M. Viale♯,♭ ♯ Istituto dei Sistemi Complessi, UOS Sapienza, CNR, via dei Taurini 19, 00185 Roma, Italy ♭ Dipartimento di Fisica, Universit`aSapienza, P.le Aldo Moro 2, 00185 Roma, Italy † Institute of Neuroinformatics, University of Zurich and ETH Zurich, Winterthurerstrasse, 190 CH-8057, Zurich, Switzerland Abstract Flocking is a paradigmatic example of collective animal behaviour, where global order emerges out of self-organization. Each individual has a tendency to align its flight direction with those of neighbours, and such a simple form of interaction produces a state of collective motion of the group. As compared to other cases of collective ordering, a crucial feature of animal groups is that the interaction network is not fixed in time, as each individual moves and continuously changes its neighbours. The possibility to exchange neighbours strongly enhances the stability of global ordering and the way information is propagated through the group. Here, we assess the relevance of this mechanism in large flocks of starlings (Sturnus vulgaris). We find that birds move faster than Brownian walkers both with respect to the centre of mass of the flock, and with respect to each other. Moreover, this behaviour is strongly anisotropic with respect to the direction of motion of the flock. We also measure the amount of neighbours reshuffling and find that neighbours change in time exclusively as a consequence of the random fluctuations in the individual motion, so that no specific mechanism to keep one’s neighbours seems to be enforced.