Philosophy and Co...
Follow
2.4K views | +0 today
Philosophy and Complexity
Your new post is loading...
Your new post is loading...
Scooped by John Symons
Scoop.it!

Computational models of plant development and form - Prusinkiewicz - 2012 - New Phytologist - Wiley Online Library

Computational models of plant development and form - Prusinkiewicz - 2012 - New Phytologist - Wiley Online Library | Philosophy and Complexity | Scoop.it
RT @NewPhyt: Read a (free) #TansleyReview on a Sunday: 'Computational models of plant development and form' http://t.co/Mzva8PXE74
more...
No comment yet.
Rescooped by John Symons from Papers
Scoop.it!

Adaptive pedestrian behaviour for the preservation of group cohesion

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

Complex Adaptive Systems Modeling 2013, 1:7 http://dx.doi.org/10.1186/2194-3206-1-7


Via Complexity Digest
more...
No comment yet.
Scooped by John Symons
Scoop.it!

An Introduction to Natural Computation (Complex Adaptive Systems): Dana H. Ballard: 9780262024204: Amazon.com: Books

An Introduction to Natural Computation (Complex Adaptive Systems) [Dana H. Ballard] on Amazon.com. *FREE* super saver shipping on qualifying offers.
more...
No comment yet.
Rescooped by John Symons from CxBooks
Scoop.it!

A Computable Universe: Understanding and Exploring Nature as Computation

A Computable Universe: Understanding and Exploring Nature as Computation

~ Hector Zenil (author) More about this product
List Price: $98.00
Price: $86.49
You Save: $11.51 (12%)

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.


Via Complexity Digest
more...
No comment yet.
Scooped by John Symons
Scoop.it!

1303.2503v1

more...
No comment yet.
Scooped by John Symons
Scoop.it!

Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective

Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective | Philosophy and Complexity | Scoop.it
Some extracts from Saurabh Mittal's paper. A natural system is not a monolithic system but a heterogeneous system made up of disparity and dissimilarity, devoid of any larger goal. The system just ...
more...
No comment yet.
Scooped by John Symons
Scoop.it!

From complex living systems to smarter computers

From complex living systems to smarter computers | Philosophy and Complexity | Scoop.it
can we develop a theoretical framework for distributed adaptive control by modeling gene regulatory networks? http://t.co/u1Uq3vSilj
more...
No comment yet.
Scooped by John Symons
Scoop.it!

Physicalism, Interaction, and Information Loss (March 28 2013) | John Symons

A talk for the Fifth Workshop on the Philosophy of Information    
more...
No comment yet.
Scooped by John Symons
Scoop.it!

Bristle-Bot swarming

Bristle-Bot swarming | Philosophy and Complexity | Scoop.it
An introductory video to "Swarming, swirling and stasis in sequestered bristle-bots", Proc. R. Soc. A 469, 20120637 (2013) by L. Giomi, N. Hawley-Weld and L....
more...
No comment yet.
Rescooped by John Symons from Social Foraging
Scoop.it!

Progressing from game theory to agent based modelling to simulate social emergence

Progressing from game theory to agent based modelling to simulate social emergence | Philosophy and Complexity | Scoop.it

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.


Via Ashish Umre
more...
No comment yet.
Scooped by John Symons
Scoop.it!

Novel properties generated by interacting computational systems

John Symons's insight:

posted here for KU reading group

more...
No comment yet.
Scooped by John Symons
Scoop.it!

Toward the learnability theory of language as a complex adaptive ...

Toward the learnability theory of language as a complex adaptive ... | Philosophy and Complexity | Scoop.it
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 ...
more...
No comment yet.
Scooped by John Symons
Scoop.it!

Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence): Martin V. Butz, Olivier Sigaud...

Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence): Martin V. Butz, Olivier Sigaud... | Philosophy and Complexity | Scoop.it
Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence): Martin V.
more...
No comment yet.
Scooped by John Symons
Scoop.it!

TEDxCanberra - Boho Interactive -  Chaos, complexity, balloons and bunnies

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?
more...
No comment yet.
Scooped by John Symons
Scoop.it!

ScienceDirect.com - Cognitive Systems Research - Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective

ScienceDirect.com - Cognitive Systems Research - Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective | Philosophy and Complexity | Scoop.it
Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective http://t.co/StMC9SyrVJ
more...
No comment yet.
Scooped by John Symons
Scoop.it!

Episode 45: Anubav Vasudevan discusses probability and determinism – Elucidations

Episode 45: Anubav Vasudevan discusses probability and determinism – Elucidations | Philosophy and Complexity | Scoop.it
more...
No comment yet.
Rescooped by John Symons from Information, Complexity, Computation
Scoop.it!

Complex Adaptive Game Theory

Complex Adaptive Game Theory | Philosophy and Complexity | Scoop.it
As mentioned last week, a U Maine economist named Sarah Morehead had this idea : Develop an economic environment in which selfish zero-sum-game strategies are maladaptive.

Via Eugene Ch'ng
more...
No comment yet.
Scooped by John Symons
Scoop.it!

CoSMoS 2013 Complex Systems Modelling and Simulation ...

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 ...
more...
No comment yet.
Scooped by John Symons
Scoop.it!

“Building Confidence in Agent Based Computational Models of the Immune System” | 25 Mar 2013 | School of Research

“Building Confidence in Agent Based Computational Models of the Immune System” | 25 Mar 2013 | School of Research | Philosophy and Complexity | Scoop.it
Prof Jon Timmis - Dundee today, seminar
Building Confidence in Agent Based Computational Models of the Immune System http://t.co/bafsEvkoYz
more...
No comment yet.
Scooped by John Symons
Scoop.it!

Why-Physicalism-Fails-to-exclude-strongly-emergent-properties.pdf

more...
No comment yet.
Rescooped by John Symons from Papers
Scoop.it!

Agent-Based Models of Strategies for the Emergence and Evolution of Grammatical Agreement

Agent-Based Models of Strategies for the Emergence and Evolution of Grammatical Agreement | Philosophy and Complexity | Scoop.it

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.

 

Beuls K, Steels L (2013) Agent-Based Models of Strategies for the Emergence and Evolution of Grammatical Agreement. PLoS ONE 8(3): e58960. http://dx.doi.org/10.1371/journal.pone.0058960


Via Complexity Digest
more...
luiy's curator insight, June 28, 2013 8:34 AM

We presented here the first agent-based models to explore how and why a grammatical agreement system may originate and get culturally transmitted in a process of cultural invention and social learning, based on the hypothesis that agreement systems are useful to avoid combinatorial explosions in parsing and semantic ambiguity in interpretation. Agreement systems thus help to minimize cognitive effort and maximize communicative success. After demonstrating how formal markers could arise, we presented strategies showing how meaningful markers could originate, and how markers could become recruited from existing words. We demonstrated also how recruited words could erode to lead to greater articulatory efficiency, at a cost of giving fewer hints for new language users, and how coercion helps to apply an agreement system more broadly so that fewer agreement markers are needed.

Scooped by John Symons
Scoop.it!

Modeling Complex Adaptive Systems

Series: Year of Darwin Title: Modeling Complex Adaptive Systems Recorded on October 30, 2008 in the Peter B. Lewis Bldg., Room 106. A talk for a general univ...
more...
No comment yet.
Scooped by John Symons
Scoop.it!

On Chomsky and the Two Cultures of Statistical Learning

On Chomsky and the Two Cultures of Statistical Learning | Philosophy and Complexity | Scoop.it
more...
No comment yet.
Scooped by John Symons
Scoop.it!

Complex Adaptive Systems Modeling | Full text | Complex Adaptive Systems Modeling: A multidisciplinary Roadmap

more...
No comment yet.
Rescooped by John Symons from FuturICT Events of Interest
Scoop.it!

ECCS 13 Barcelona 16-20 September 201 Satellite Meeting: Global Computing For Our Complex Hyper-Connected Worl 19th September 201

ECCS 13 Barcelona 16-20 September 201 Satellite Meeting: Global Computing For Our Complex Hyper-Connected Worl 19th September 201 | Philosophy and Complexity | Scoop.it

ECCS 13 BARCELONA 16-20 SEPTEMBER 2013

Satellite Meeting: GLOBAL COMPUTING FOR OUR COMPLEX HYPER-CONNECTED WORLD

19th September 2013

BACKGROUND

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

ORGANIZERS

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)

IMPORTANT DATES and Deadlines

Extended Abstract Submission (about 600-800 words): 30/5/2013

Notification of Abstract Acceptance: 30/6/2013

Full-length Paper Submission: 30/8/2013

Satellite Meeting date: 19/9/2013

Special Issue (with a selection of presented papers) Publication: Spring 2014

 


Via FuturICT
more...
No comment yet.