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

More documents

Recommendations

Info

Hamilton, J.M., D.J. Maddison and R.S.J. Tol. 2005a.Climate Change and International Tourism: A SimulationStudy. Global Environmental Change, 15 (3), 253-266.Hamilton, J.M., D.J. Maddison and R.S.J. Tol. 2005b.The Effects of Climate Change on International Tourism,Climate Research, 29, 245-254.Hamilton, J.M., D.J. Maddison and R.S.J. Tol. 2005c.Climate Preferences and Destination Choice: ASegmentation Approach, FNU-90, Hamburg Universityand Centre for Marine and Atmospheric Science,Hamburg. (submitted)Hamilton, J.M. and R.S.J. Tol. (in preparation). Theimpact of climate change on tourism on the British Islesand in Germany: a simulation study.Hamilton, J.M. and R.S.J. Tol. 2004. The Impacts ofClimate Change on Tourism and Recreation, Hamburg:Research Unit Sustainability and Global Change FNU-52, Hamburg University and Centre for Marine andAtmospheric Science.Hoozemans, F.M.J., M. Marchand and H.A. Pennekamp.1993. A Global Vulnerability Analysis: VulnerabilityAssessment for Population, Coastal Wetlands and RiceProduction and a Global Scale (second, revised edition),Delft Hydraulics, Delft.Lise, W. and R.S.J. Tol. 2002. Impact of climate ontourism demand. Climatic Change, 55(4), 429-449.Matzarakis, A. 2002. Examples of climate and tourismresearch for tourism demands. In: Proceedings of the15th Conference on Biometeorology and Aerobiologyjoint with the International Congress on Biometeorology.27. October to 1. November 2002, Kansas City,Missouri, pp 391-392. - Online document:http://www.mif.unifreiburg.de/matzarakis/publication.htmMaddison, D.J. 2001. In search of warmer climates? Theimpact of climate change on flows of British tourists.Climatic Change, 49, 193-208.Perry, A. 2000. Impacts of climate change on tourism inthe Mediterranean: Adaptive responses. Nota di Lavoro35.2000, Fondazione Eni Enrico Mattei, Milan, Italy.Wilson, C. and C. Tisdell. 2001. Sea turtles as a nonconsumptiveresource especially in Australia. TourismManagement 23, 279-288.BIOGRAPHYAndrea Bigano holds a Ph.D. in Economics from theKatholieke Universiteit Leuven, (Belgium), a M.Sc. inEnvironmental Economics from the University CollegeLondon (UK), and a degree in Economics fromUniversità Commerciale Luigi Bocconi, (Milan, Italy).He has been Scientific Consultant for the Abdus SalamInternational Centre for Theoretical Physics (anUNESCO research centre based in Trieste, Italy) andresearcher at the Centre for Economic Studies,Katholieke Universiteit Leuven. Currently AndreaBigano is Senior Researcher at Fondazione Eni EnricoMattei (Milan, Italy) where he contributes to climatechange and energy markets research. He is also aconsultant for REF, an independent Italian researchcentre and consulting firm, where he coordinates aproject on energy investments.Jacqueline Hamilton is a researcher at the University ofHamburg. As well as an MA in Economics from theUniversity of Glasgow and a Master’s Degree in Townand Regional Planning from the University of Liverpool(UK), she has a PhD in Economics from the Universityof Hamburg. Her PhD thesis looked at the impact ofclimate change on tourism in the coastal zone. Her mainresearch fields are tourism, recreation and theenvironment, environmental economics and tourismeconomics. She is currently working on the valuation oflandscape change caused by the implementation ofsustainable forestry programmes.Richard Tol has been a professor at Hamburg Universitysince April 2000. He holds a Ph.D. in Econometrics fromthe Vrije Universiteit in Amsterdam. He is interested inthe application of economic, mathematical and statisticaltechniques, such as time series analysis, valuation,decision analysis, and game theory, to environmentalproblems, in particular climate change, natural disasters,and river basin management. He is advisor and referee ofnational and international policy and research. He is anauthor (contributing, lead, principal and convening) ofWorking Groups I, II and III of the IntergovernmentalPanel on Climate Change. He is an author and editor ofthe UNEP Handbook on Methods for Climate ChangeImpact Assessment and Adaptation Strategies. Richard isan editor of Energy Economics, an associate editor ofEnvironmental and Resource Economics, and a memberof the editorial board of Environmental Science andPolicy and Integrated Assessment.WRI. 2000. World Resources Database 2000-2001.Washington, D.C: World Resources Institute.Annual Proceedings of Vidzeme University College “ICTE in Regional Development”, 2006112
AN OVERVIEW OF THE AGENT − BASED SOCIAL SYSTEM SIMULATION TOOLSDmitrij PozdnyakovRiga Technical University1, Kalku Street, Riga, LV-1658, LatviaE-mail: dmitrij.pozdnakov@inbox.lvKEYWORDSSocial System Simulation, Agent − Based SimulationTools.ABSTRACTWhile moving from Industrial age towardInformation age, which outlines the development of theInformation society, researches of social systems ofvarious scales (country, region, organization, etc.)become more significant. Impact of various socialsystems to our everyday life becomes increasinglyimportant. Therefore, social systems start seriously toinfluence the development of countries as a whole, andtheir regions in particular. Balanced regionaldevelopment of countries that are moving toward theestablishment of information and knowledge-basedsociety is one of the hot topics now.Planning or regional development is one of thesetopics. This is the main reason why different methodsand approaches appear targeted toward modelling andsimulation of social systems from the perspective ofregional development.Agent − based social systems simulation is a newresearch strategy that is developing very rapidly. Thebasic principle of agent-based simulation is that a systemis constructed out of a number of sub-systems – so-calledagents. The approach of agent-based simulation can beeasily applied to the social system simulation, as it givesthe possibility of generating complex systems based onsimple rules.The purpose of this article is to give the shortoverview of the agent-based social system simulationtools. Wide varieties of such tools (systems) have beendeveloped in the recent years. Their primarily goal is toassist the model building. Tools differ with its design,presence of functions for scientific social modelling,presence of functions for visualization of results andpresence of functions for the support of modellingprocess.The paper may be useful for those who plan to startusing one of such system from the scratch. The papershortly describes each system, pointing out key featuresof the system, programming language and the systemusability for the scientific social modelling; also there arereferences to the information sources available on theInternet.The overview is based on official toolsdocumentation, papers written by developers and users,and on the personal work experience with these systems.AGENT − BASED SOCIAL SYSTEMSIMULATIONIn agent−based social system simulation approach, allsocial system individuals, represented by agents, have aninternal model of the world governed by rules ofbehaviour. Through mutual competition, coordinationand cooperation of agents it is possible to explore thedifferent social systems and to analyse the constructionprocess of the modelled system from the point of view ofcomplex adaptive systems. In agent − based approachlearning, adaptation and evolution of the process areconsidered and, in addition, social systems theory,including learning and the evolutionary process of agentsare explored (Agent-based Modelling 2006).All known agent – based social system simulationtools are designed primary to assist the building ofmodel. The facilities for other phases of a model’s lifecycle, such as model evaluation, model maintenance, andmany other types of model use are rather limited at thistime. The primary supports for model use arevisualizations of model state and some modest facilitiesfor collecting statistics in a single run. Tool developershave not yet confronted issues of comparing multiplemodel runs, loading or calibrating models from data,automatically generating large numbers of cases fromexperimental designs, or collecting and statisticallyanalysing the results of large numbers of experiments.According to (Gilbert and Bankes 2003) agent−basedsocial system simulation tools can be divided in threegroups (classes):The first group includes environments, which consistsof standardized software libraries of routines, whichcould be included in modeller’s own purpose-buildprogram. Such libraries usually provide basic functionsAnnual Proceedings of Vidzeme University College “ICTE in Regional Development”, 2006113
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: would be a promising extension. Cur
Page 121 and 122: Suitability for social system simul
Page 123 and 124: 6. MASONDescription:MASON is a fast
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 ...

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?