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Nonlinear Systems and Complexity
Series Editor: Albert C. J. Luo
Mohamed Nemiche
Mohammad Essaaidi Editors
Advances in
Complex Societal,
Environmental
and Engineered
Systems
Nonlinear Systems and Complexity
Volume 18
Series Editor
Albert C. J. Luo
Southern Illinois University
Edwardsville, IL, USA
Advances in Complex
Societal, Environmental
and Engineered Systems
123
Editors
Mohamed Nemiche Mohammad Essaaidi
Ibn Zohr University ENSIAS College of Engineering
Agadir, Morocco Mohamed V University of Rabat
Rabat, Morocco
This book addresses recent technological progress that has led to an increased
complexity in societal, ecological, and engineered systems. This complexity is
characterized by the emergence of new proprieties and structures resulting from
nonlinear interactions among system elements and between system and its envi-
ronment. This volume provides researchers and managers with qualitative and
quantitative methods, bottom-up and holistic approaches for handling many features
of the complex contemporary reality. This book is composed of three parts with
a total of 13 chapters: Part I (Chaps. 1–6) focuses on societal and ecological
systems, Part II (Chaps. 7–12) deals with approaches for understanding, modeling,
forecasting, and mastering complex systems, and Part III (Chap. 13) includes real-
life examples. Each chapter of this book has its own special features; it is a
self-contained contribution of researchers working in different fields of science
and technology relevant to the study of complex systems including Agent-Based
Modeling, General Systems Theory, and Mathematical Modeling.
In the chapter “ProtestLab: A Computational Laboratory for Studying Street
Protests,” Lemos, Coelho, and Lopes present an Agent-Based model for the
simulation of street protests, with multiple types of agents (protesters, police, and
“media”) and scenario features (attraction points, obstacles, and entrances/exits). In
this model agents can have multiple “personalities,” goals, and possible states. The
model includes quantitative measures of emergent crowd patterns, protest intensity,
police effectiveness, and potential “news impact,” which can be used to compare
simulation outputs with estimates from videos of real protests for parameterization
and validation. ProtestLab was applied to a scenario of policemen defending a
government building from protesters and reproduced many features observed in real
events, such as clustering of “active” and “violent” protesters, formation of moving
confrontation lines, occasional fights and arrests, “media” agents wiggling around
“hot spots,” and policemen with defensive or offensive behavior.
In the chapter “A Generic Agent Based Model of Historical Social Behavior
Change,” Ahmed M’hamdi et al. describe and discuss how human societies change
over time. The main objective of this work is to build a generic agent-based model
v
vi Preface
train railway systems. Meanwhile, the delineation of traffic impact areas could be
spatially targeted at priorities of traffic improvement for city planners.
In the chapter “Logic, Mathematics and Consistency in Literature: Searching for
Don Quixote’s Place,” Montero et al. combine fuzzy logic with other techniques
to analyze the consistency of the linguistic discourse about the village Miguel de
Cervantes (1547–1616) decided not to reveal in his classical Don Quixote’s novel.
In particular, the authors consider Cervantes linguistic description of Don Quixote’s
trips from and to that place in order to check if such information is consistent with
the map of La Mancha, and allowing a more or less constant walking speed march
per day. From this complex system of information, it is then concluded that there
is in fact a small region in the center of Campo de Montiel that meets all estimated
walking times per day, showing that Cervantes linguistic description of the trips
involving the hidden place is in this sense consistent.
In the chapter “Energy-Efficient Buildings as Socio-Technical Complex Systems:
Approaches and Challenges,” Lachhab et al. present important metrics that assess
performance and occupants’ comfort in energy-efficient buildings and study their
relationships with building physical properties, equipment control, outdoor envi-
ronment, and occupants’ behavior and activities. The authors analyze occupants’
actions and behaviors in context taking into account the complex interlinked entities,
situations, processes, and their dynamics. Lachhab et al. then review existing control
approaches and solutions for energy efficiency in complex buildings. They highlight
simulation tools that aim to study and analyze approaches for energy consumption,
occupants’ comfort, and CO2 emissions. They also introduce their ongoing work
related to modeling and control of these complex systems by highlighting the
necessity of the development of intelligent building management systems that could
include run-time processing techniques of large amount of data for deploying
context-aware event-triggered control techniques.
In the chapter “Modeling Space-Time-Action Modularity and Evolution of
Living Systems,” Pierre Bricage develops a new paradigm of “the gauge invariance
of living systems” which allows him to define functionally and dynamically the
hierarchical fractal organization of all living systems, from the quantum of Planck to
the whole universe. The ontogeny of interactions and the interaction of ontogenies
are topologically related through a power law of exponent 3/2, which is basically
related to the Brownian motion. His work was motivated by the need to understand
why all living systems are emerging through juxtaposition and embedment of
previous ones in a new blueprint that is always an Association for the Reciprocal
and Mutual Sharing of Advantages and Disadvantages: “interaction is construction
and construction is interaction” both for the spaces and times, which are juxtaposed
and embedded simultaneously into limited spatial and temporal networks, within
an “independent of mass-entropy relationship inter-active optimal surface flow of
flows” organizing control.
Preface ix
The editors would like to thank all the authors who contributed to this book.
Special thanks also go to Mr. Christopher Coughlin and Mr. Abdeljalil Haib for
their collaboration in this book project.
xi
xii Contents
Editors
xiii
xiv List of Editors and Contributors
Contributors
1 Introduction
Street protests and riots are manifestations of social conflict, which results from
feelings of frustration due to relative deprivation (RD) and cleavages within the
society (Gurr 1968). They may be large or small, peaceful of violent, organized or
– How do the features of the protest space and the crowd size, composition and
initial placement affect the crowd formation patterns (wandering, clustering and
fighting) and protest intensity?
– How does violent confrontation arise? Once initiated, does it spread to the bulk
of the crowd or remains confined to specific types and clusters of protesters?
– How can different police actions influence the intensity of violent confrontation
and the ability for defending a perimeter?
The novel features of ProtestLab with respect to other ABM are: (i) multiple
types of agents (‘protesters’, ‘cops’ and ‘media’), with multiple behaviours repre-
sented by agent subtypes; (ii) several types of scenario features (attraction points,
obstacles, entrances and exits); (iii) a simple but efficient reactive agent architecture
which allows all agents to have multiple goals and spatially oriented interactions;
and (iv) quantitative measures of emergent crowd patterns, protest intensity, police
vs protesters effectiveness and potential “media” coverage.
Three subtypes of ‘protester’ agents were considered, ‘hardcore’, ‘hanger-
on’ and ‘bystander’, which broadly correspond to typical protester behaviours
well characterized in micro-situational theories of violence (Collins 2008, 2009;
Wikström and Treiber 2009), ABM of clustering and fighting (Jager et al. 2001), and
also easily identified in many videos of real protests. Four subtypes of ‘cop’ agents
were included, namely ‘command’, ‘offensive’, ‘defensive’ and ‘multi role’, which
correspond to different mission profiles and assigned tasks in a police force. All
agents can be one of four states, ‘quiet’, ‘active’ (waving, shouting, etc.), ‘violent’
(ripe for confrontation) or ‘fighting’. Fights only occur when ‘violent’ protesters
and cops are in contact, such as in body fighting (fights with weapons such as stones
and tear gas are not considered in the present version of the model).
The advantage of ProtestLab with respect to existing ABM of crowd dynamics
and violent confrontation is the capability of running realistic simulations of street
protests with several hundred agents using small computers. The present version of
ProtestLab is not intended for modelling fights between two groups (e.g. supporters
of rival parties or football teams) mediated by a police force or events of collective
violence that are not politically motivated, although the model can be extended to
treat these cases. Consequently, the theories and models related to pedestrian flow,
panic evacuation, ethnic violence or violence in two-party crowds (e.g. in football
stadiums) will be mentioned only in the aspects relevant for the issues considered in
ProtestLab.
The remainder of this paper is organized as follows. In Sect. 2 we present the
theoretical background for ProtestLab. In Sect. 3 we describe the model entities,
design concepts, quantitative measures of the emergent properties and issues
related to parametrization and validation. In Sect. 4 we present the results of a
set of simulations for a scenario of a police force defending the entrance of a
government building from protesters, for different crowd densities and compositions
(proportions of subtypes of ‘protester’ agents), average aggressiveness, and police
‘personality’ or mission profile and the action of a police “command” agent.
Section 5 contains the discussion of the model results with emphasis on the model’s
6 C.M. Lemos et al.
Several ABM have been proposed for the simulation of conflict phenomena of
different types and scales. Epstein et al. (2001) introduced an ‘abstract’ ABM of
large-scale rebellion against a central authority (Model I) or ethnic violence between
two rival groups (Model II) with two types of agents, population and cops in a
torus space environment. Population agents can be in three states (‘quiet’, ‘active’
or ‘jailed’). Both types of agents have one movement rule M (move to a random
empty cell within the agent’s vision radius) and one action rule. Population agents
that are not ‘jailed’ become ‘active’ according to the following threshold (action)
rule:
P D 1 exp.k.C=A/v / (2)
(1922.)
MINKÄTÄHDEN KORPISELÄN
IIVANA KÄSKETTIIN POIS PÖYDÄN
TAKAA
— Sie Iivana astu nyt heti pois sieltä pöydän takaa ja mäne sinne,
missä äsken olit!
(1922.)
KUVIA PORVARILLISESTA
YHTEISKUNNASTA
(1922.)
IHASTUTTAVA YKSIMIELISYYS
Katsokaa meitä!
Katsokaamme:
Jahah.
Jahah.
Saksalaiset lehdet ovat käsitelleet kysymystä Suomen ja Puolan
liittoutumisesta.
Jahah.
Rengas on ummessa.
(1922.)
»HARHAANJOHDETTU
TALONPOIKA»
(1922.)
KYLLÄ TOVERI LENIN…
(1922.)
KURKI EI HALUA KUOLLA
(1922.)
TRI PERETTIN KÄSILAUKKU
— Mistä?
— Varkaudesta!
— Käsilaukun varkaudesta?
— Niin juuri!
(1922.)