The paper describes an agent-based model encompassing both traditional individual motivations (i.e. tendency to stay away from other pedestrians while moving towards the goal) and an adaptive mechanism representing the influence of group presence in the simulated population. The mechanism is designed to preserve the cohesion of specific types of groups (e.g. families and friends) even in high density and turbulent situations. The model is tested in simplified scenarios to evaluate the implications of modelling choices and the presence of groups
Adaptive pedestrian behaviour for the preservation of group cohesion Giuseppe Vizzari, Lorenza Manenti and Luca Crociani
This volume, with a foreword by Sir Roger Penrose, discusses the foundations of computation in relation to nature. It focuses on two main questions:
What is computation? How does nature compute? The contributors are world-renowned experts who have helped shape a cutting-edge computational understanding of the universe. They discuss computation in the world from a variety of perspectives, ranging from foundational concepts to pragmatic models to ontological conceptions and philosophical implications.
Axelrod (1984) made a major contribution to Game Theory in his book “Evolution of Cooperation” but thirteen years later he, dissatisfied with game theory, moves onto agent based modelling to rework his view of cooperation in his book in 1997 “The complexity of Cooperation: Agent-based Models of Competition and Collaboration”. In a similar move, the Santa Fe Institute in the US was established in 1984 to grapple with complex social issues and used agent based modelling amongst other techniques to “collaborate across disciplines, merging ideas and principles of many fields — from physics, mathematics, and biology to the social sciences and the humanities — in pursuit of creative insights that improve our world”. Agent based modelling captures the interaction between agents to simulate emergence whether at the physical or social level. Netlogo provides an extensive library of simulations of both physical and social emergence that shows the diversity of application of agent based modelling. These sample simulations can be readily tailored to meet the needs of social scientists. The software is free and there is a thriving enthusiastic community support group.
Why is there a move by a prominent game theorist and the Santa Fe Institute to agent based modelling? The article Game Theory as Dogma by Professor Kay (2005) discusses ample reasons to search for alternative techniques to model competition and collaboration.
There have recently been a number of efforts to model language as a complex adaptive system. A few successful projects have explicitly modeled evolving language using evolutionary game theory. When carefully applied ...
Science, art, theatre and big complex problems collide when Boho appear. They help to bring science education and understanding to the wider commun... (What can an Australian theatre group teach us about complex systems?
The 6th Complex Systems Modelling and Simulation (CoSMoS 2013) workshop is a 1 day satellite of the Unconventional Computation & Natural Computation (UCNC) 2013 conference, which will take place on 1-5 July 2013 ...
Grammatical agreement means that features associated with one linguistic unit (for example number or gender) become associated with another unit and then possibly overtly expressed, typically with morphological markers. It is one of the key mechanisms used in many languages to show that certain linguistic units within an utterance grammatically depend on each other. Agreement systems are puzzling because they can be highly complex in terms of what features they use and how they are expressed. Moreover, agreement systems have undergone considerable change in the historical evolution of languages. This article presents language game models with populations of agents in order to find out for what reasons and by what cultural processes and cognitive strategies agreement systems arise.
Satellite Meeting: GLOBAL COMPUTING FOR OUR COMPLEX HYPER-CONNECTED WORLD
19th September 2013
New science and technology are needed to explore, understand and manage our hyper-connected world. Revealing the hidden laws and processes underlying our complex, global, socially interactive systems constitutes one of the most pressing scientific challenges of the 21st Century.
Integrating complexity science with ICT and the social sciences will allow us to design novel robust, trustworthy and adaptive technologies based on socially inspired paradigms. Data from a variety of sources will help us to develop models of techno-socioeconomic systems. In turn, insights from these models will inspire a new generation of socially adaptive, self-organised ICT systems.
The ultimate aim is to drive a paradigm shift to facilitate a symbiotic co-evolution of ICT and society. Therefore we urge to use the power of information to globally explore social and economic life and discover options for a sustainable future. As the recent financial crisis demonstrates, the systems that we have built to organise our affairs now possess an unprecedented degree of complexity and interdependence among their technological, social and economic components. This complexity often results in counter-intuitive effects driven by positive feedbacks that lead to domino-like cascades of failures. Neither the precepts of traditional science, nor our collective experience from a simpler past, adequately prepare us for the future. It is simply impossible to understand and manage complex networks using conventional tools.
We need to put systems in place that highlight, or prevent, conceivable failures and allow us to quickly recover from those that we cannot predict. We need this insight to help manage our financial markets but also to tackle other risks, such as flu pandemics, social instabilities, or criminal networks. At the same time, policymakers are currently faced with major decisions of how to plan the general infrastructure of services to cope with the demands of the future, and what is more, to do so in a sustainable manner. The same decisions are also posed to individuals who wish to improve their own lives.
Thus it is now the time to switch focus from the system components and their properties towards evaluating their interactions. These interactions are often hard to measure but create collective, emergent dynamics which are characteristic of strongly coupled systems.
Examples of questions to be addressed: What role the hyper-connectivity plays in the emergence of new phenomena and behaviours in economics and society at large? Is the complexity science the necessary path for the comprehension of a radically novel social science? Will social science in its turn pave the way to a sustainable innovation process driven by information and communication technologies? The possible connections though are still unclear. Deep insights and new concepts need to be proposed for the comprehensive understanding and description of this new emerging complex social environment.
SUBJECTS COVERED BY THE SATELLITE and FORMAT
The satellite is a one-day event to be held on Thursday 19th September. At least 5 keynote + invited lectures, plus 10 contributed oral presentations and 10 posters are expected to be included in the final program of the Workshop.
This satellite meeting aims to foster interdisciplinary synergy between the different communities involved in the understanding of techno-socio-economic systems.
The satellite addresses the following Main Conference tracks:
--Foundations of Complex Systems (Complex networks, self-organization, nonlinear dynamics, statistical physics, mathematical modeling, simulation)
--Information and communication technologies (Internet, WWW, search, semantic web)
--Infrastructures, Planning and Environment (Critical infrastructures, urban planning, mobility, transport, climate change, energy and sustainability)
--Social Systems, Economics and Finance (Social networks, game theory, stock market, crises)
PROSPECTIVE LECTURERS (more to be added)
Albert-Laszlo BARABASI (Northeastern University, USA and CEU, Hungary) (*)
Carlos GERSHENSON (Mexico University)
Shlomo HAVLIN (Bar-Ilan University, Israel) (*)
Dirk HELBING (ETH Zurich, Switzerland) (*)
Rosario MANTEGNA (University of Palermo, Italy) (*)
Yamir MORENO (BIFI, Universidad de Zaragoza, Spain)
Sandy PENTLAND (MIT, USA) (*)
Stefan THURNER (Medical University Vienna, Austria) (*)
Alex VESPIGNANI (Northeastern University, USA)
(*) To be confirmed
Anna CARBONE (Politecnico di Torino, Italy)
Maxi SAN MIGUEL (Univ Ile Baleares, Spain)
Anxo SANCHEZ (Universidad Carlos III de Madrid)
PUBLICATIONS AND PAPER SELECTION STANDARD
Selected papers will be published in a peer-reviewed Journal addressing mostly a readership in the area of Complexity. Only full-length papers will be considered for publication after a peer-review evaluation by independent experts. (Details regarding paper format and submission procedure to be provided upon notification of abstract acceptance)