Proceedings in pdf format. - Sociotechnical Systems Engineering ...

More documents

Recommendations

Info

java/. Complete description of the Swarm Javalibraries API.f) Java Swarm presentation / Internet. -http://eco83.econ.unito.it/terna/materiale/JavaSwarmTutorial_lamieri_sonnessa.pdf. Includesshort description of Swarm installation andSwarm model starting process.3. MIMOSEDescription:MIMOSE provides a modeling language combinedwith a user-friendly experimental frame for simulatingand analysing models. MIMOSE meets special demandson modeling in social science and especially focuses onthe description of nonlinear, quantitative, and qualitativerelations, stochastic influences, birth and death processes,as well as micro and multilevel models.One of MIMOSE drawbacks is that it does notprovide any tools for visualization of modelling results.Suitability for social system simulation:MIMOSE can be useful for modelling and analysingsome social science models (such as collectivephenomena, for example migration, chaotic behaviour,and cooperation), environmental models, and epidemicmodels in biology. Modelling the sequence of militaryinterventions and democratization in Thailand also testedthe approach.Programming language:MIMOSE is developed in Java. Models are builtusing model description language. MIMOSE consists ofserver and client parts. Server part is available only forSun/Solaris systems and for Linux Server, while clientpart is also available for Windows machines.Availability:Free. The source code is not available.Useful Internet resources:a) MIMOSE home page / Internet. -http://www.unikoblenz.de/~moeh/projekte/mimose.html.MIMOSE user guide and installation files.4. AscapeDescription:Ascape is a software framework for developing andanalysing agent-based models. In Ascape, agent objectsexist within “scapes”: collections of agents such as arraysand lattices. These “scapes” are agents themselves, sothat typical Ascape models are made up of "collections ofcollections" of agents. “Scapes” provide a context foragent interaction and sets of rules that govern agentbehaviour. Ascape manages graphical views andcollection of statistics for “scapes” and providesmechanisms for controlling and altering parameters for“scape” models. Ascape provides tools for publishing ofsimulation results into Internet (Dugdale 2006).Suitability for social system simulation:Ascape is useful for implementing quite complexsocial mechanisms. The only restriction would be findinga programmer with sufficient skills to code themechanisms. Ascape is intended mostly for economicmodels.Programming language:JavaAvailability:Free for not commercial purposes (failed to downloadinstallation). The project currently is not updated.Useful Internet resources:a) Brookings Institute: Home page of the Ascapeproject/ Internet. -http://www.brook.edu/es/dynamics/models/ascape/default.htmb) Brookings Institute: Miles Parker. Presentationslides of the Ascape tool / Internet. -http://www.brook.edu/es/dynamics/models/ascape/UChicago/tsld001.htmc) Journal of Artificial Societies and SocialSimulations: Miles Parker. “What is Ascape andwhy should you care?” / Internet. -http://jasss.soc.surrey.ac.uk/4/1/5.html5. BreveDescription:Breve is a software package, which is supposed forbuilding 3D simulations of decentralized systems andartificial life. Modeller defines the behaviours of agentsin a 3D world and observes how they interact.Breve pays much attention to visualization ofsimulation. Breve includes physical simulation andcollision detection, allowing simulating realisticcreatures, and an OpenGL display engine.Suitability for social system simulation:According to (Tobias and Hoffmann 2006), Breve isnot applicable for social science simulations.Programming language:Steve – specialized programming language thatcombines properties of C, Perl and C++ programminglanguages.Availability:Free (open source)Useful Internet resources:a) Brave 3D home page / Internet. -http://www.spiderland.org/breve/Annual Proceedings of Vidzeme University College “ICTE in Regional Development”, 2006116
6. MASONDescription:MASON is a fast discrete-event multi-agentsimulation library core in Java, designed to be thefoundation for large custom-purpose Java simulations,and to provide more than enough functionality for manylightweight simulation needs. MASON contains both amodel library and an optional suite of visualization toolsin 2D and 3D.Suitability for social system simulation:Designed for social scientific simulation, also for AIand robotics.Programming language:JavaAvailability:Free (open source)Useful Internet resourcesa) MASON home page / Internet. -http://cs.gmu.edu/~eclab/projects/masonb) Sean Luke, Claudio Cioffi-Revilla, Liviu Panait.MASON: A New Multi-Agent SimulationToolkit / Internet. -http://cs.gmu.edu/~eclab/projects/mason/publications/SwarmFest04.pdfc) MASON documentation / Internet. -http://cs.gmu.edu/~eclab/projects/mason/docs/Agent − Based Social System SimulationEnvironments with Integrated GraphicalDevelopment and Modelling Environment7. StarLogoDescription:StarLogo is a programmable modelling environmentfor exploring the operating of decentralized systems.StarLogo allows the user to create and control thebehaviour of “turtles” (a term used for autonomousagents). “Turtles” move around a user-defined landscapethat is made up of “patches”. StarLogo is procedural. Itprovides a set of commands, which the programmer usesto create and control the turtles and patches (Dugdale2006).In practice, StarLogo is very easy to use. StarLogoprovides a graphical interface to help the developer tocode their simulations.One of the main downfalls of StarLogo is itsinflexibility. The set of commands offered by StarLogomay be quite restrictive if we are going to code complexsocial mechanisms.Suitability for social system simulation:Applicable for artificial life simulation (real worldphenomena imitation: colonies of birds, insects, alsomarket economy research).Programming language:StarLogo is developed in Java. The modellinglanguage is Logo dialect, which is extended to supportagents and concurrency. In addition, StarLogo providesmechanisms that allow building simulations using verysimple direct manipulations (also known as “visualprogramming” paradigm).Availability:Free. The source code is not available.Useful Internet resources:a) StarLogo Project home page / Internet. -http://education.mit.edu/starlogo/. Includesdescription, examples, tutorials, etc.8. NetLogoDescription:NetLogo is a programmable modelling environmentfor simulation of natural and social phenomena. NetLogocontinues StarLogoT and StarLogo simulationenvironments series. Like StarLogo, NetLogo issupposed for decentralized systems imitation. It isparticularly well suited for modelling complex systemsdeveloping over time.According to statements of developers, NetLogosimulations can include hundreds or thousands ofindependent agents all operating concurrently. However,unfortunately, when a large number of agents areoperating concurrently, simulation speed can becomeunacceptably low.NetLogo integrated simulation environment includesmany advanced features, such as functions for simulationresults visualization (in either 2D or 3D), generating ofmultiple modelling runs, which are exactly reproduciblecross-platform, functions for statistical data collectingand merging from multiple simulation runs, export andimport functions (export data, save and restore state ofmodel).Suitability for social system simulation:Like StarLogo, NetLogo is suitable for artificial lifesimulation.Programming language:NetLogo is developed in Java. The modellinglanguage is Logo dialect, which is extended to supportagents and concurrency. NetLogo also uses the “visualprogramming” paradigm for building simulations.Availability:Free. The source code is not available.Annual Proceedings of Vidzeme University College “ICTE in Regional Development”, 2006117
Page 1 and 2:
ISBN 9984-633-03-9Annual Proceeding
Page 3 and 4:
“Development of Creative Human -
Page 5 and 6:
TABLE OF CONTENTSINTELLIGENT SYSTEM
Page 7 and 8:
INTELLIGENT SYSTEM FOR LEARNERS’
Page 9 and 10:
LEARNER 1GROUP OF HUMAN AGENTSLEARN
Page 11 and 12:
QuantityQuantityFigure 6. Distribut
Page 13 and 14:
LEARNERStructure of theconcept mapL
Page 15 and 16:
WEB-BASED INTELLIGENT TUTORING SYST
Page 17 and 18:
materials to be presented and which
Page 19 and 20:
INFORMATION TECHNOLOGIES AND E-LEAR
Page 21 and 22:
correspondence with the course aim
Page 23 and 24:
projects and through IT. Hence, it
Page 25 and 26:
APPLICATION OF MODELING METHODS IN
Page 27 and 28:
can support configuration managemen
Page 29 and 30:
The EKD is one of the Enterprise mo
Page 31 and 32:
CHANGES TO TRAINING AND PERSPECTIVE
Page 33 and 34:
or an end, yet none of these attitu
Page 35 and 36:
make decisions. It cannot be volunt
Page 37 and 38:
logs), data and video conferencing
Page 39 and 40:
Ability to follow user’s multi-ta
Page 41 and 42:
CONCLUSIONSEDUSA method gives us a
Page 43 and 44:
in successful SD. Given this situat
Page 45 and 46:
SPATIAL INFORMATIONFor the visualis
Page 47 and 48:
MOBILE TECHNOLOGIES USE IN SERVICES
Page 49 and 50:
learning environment (Learning Mana
Page 51 and 52:
ago only some curricula on Logistic
Page 53 and 54:
The Web-based version can be access
Page 55 and 56:
Web-portal, which incorporates diff
Page 57 and 58:
DO INTELLIGENT OBJECTS AUTOMATICALL
Page 59 and 60:
Table 1. Examples for introducing R
Page 61 and 62:
workable influencing of the process
Page 63 and 64:
are handed over to the objects and
Page 65 and 66:
• Basic processes, such as wareho
Page 67 and 68:
THE ECR E-COACH: A VIRTUAL COACHING
Page 69 and 70:
participating in the workshops and
Page 71 and 72: • Assessment modules enable indiv
Page 73 and 74: with pictures and illustrated graph
Page 75 and 76: ECR Question Banknumber category su
Page 77 and 78: educational programme that follows
Page 79 and 80: DEVELOPMENT OF WEB BASED GRAVITY MO
Page 81 and 82: These results of a model require a
Page 83 and 84: CONCLUSIONSThe main goal of work ha
Page 85 and 86: dimension and included within any o
Page 87 and 88: • Resources sharing by providing
Page 89 and 90: Pursuant to the guidelines of elect
Page 91 and 92: tariffs of regulated services have
Page 93 and 94: INFORMATION TECHNOLOGY FOR MOTIVATI
Page 95 and 96: difficult to predict when and for w
Page 97 and 98: Listeners' workon the WebListenersS
Page 99 and 100: PERSPECTIVES OF WEB PAGE AND E-MAIL
Page 101 and 102: INCREASE IN THE NUMBER OF INTERNETU
Page 103 and 104: tourism accommodations (home pages
Page 105 and 106: interactive relationships with clie
Page 107 and 108: • The data obtained by the resear
Page 109 and 110: Central Statistical Bureau of Latvi
Page 111 and 112: departures for 1995 are taken from
Page 113 and 114: 120100maximumworldminimum806040200-
Page 115 and 116: 140120maximumworldminimum1008060402
Page 117 and 118: would be a promising extension. Cur
Page 119 and 120: AN OVERVIEW OF THE AGENT − BASED
Page 121: Suitability for social system simul
Page 125 and 126: Suitability for social system simul
Page 127 and 128: could be bad particularly when over
Page 129 and 130: (for 10 repeat &| CCar[]->runfor);P
Page 131 and 132: • Streaming audio• Collaboratio
Page 133 and 134: NECESSITY OF NEW LAYERED APPROACH T
Page 135 and 136: Up to now, there has only been limi
Page 137 and 138: aaaaa6= −aa2,1 = − a0,3226= −
Page 139 and 140: ∂ u∂x∂ u∂y2 2+ b = 02 2wher
Page 141 and 142: a6,3= −2030a4,5−130a4,3- - - -
Page 143 and 144: 0,10,20,30,4( )Mag x y y Ge wx2, =
Page 145 and 146: Example 1. To understand better the
Page 147 and 148: Therefore, further the following co
Page 149 and 150: SOLUTION OF THE THREE-DIMENSIONALEQ
Page 151 and 152: Mag1, m , m , m1 2 3= mm1 m2m32 2 2
Page 153 and 154: MagMag0, m , m , m1 2 31, m , m , m
Page 155: CONCLUSIONSThe basic content of thi
show all

Proceedings in pdf format. - Sociotechnical Systems Engineering ...

Create successful ePaper yourself

Delete template?

Save as template?