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Methodological Investigations in Agent-Based Modelling: With Applications for the Social Sciences

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ISBN: 9783319724065 9783319724089 Year: Pages: 235 DOI: https://doi.org/10.1007/978-3-319-72408-9 Language: English
Publisher: Springer Nature
Subject: Biotechnology --- Economics
Added to DOAB on : 2018-03-29 12:55:59
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This open access book examines the methodological complications of using complexity science concepts within the social science domain. The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences. Following an in-depth analysis of the potential impact of these methods on social science and social theory, the text provides substantive examples of the application of agent-based models in the field of demography. This work offers a unique combination of applied simulation work and substantive, in-depth philosophical analysis, and as such has potential appeal for specialist social scientists, complex systems scientists, and philosophers of science interested in the methodology of simulation and the practice of interdisciplinary computing research.​

Multi-Agent Systems

Authors: --- --- ---
ISBN: 9783038979241 9783038979258 Year: Pages: 392 DOI: 10.3390/books978-3-03897-925-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 10:09:00
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This Special Issue ""Multi-Agent Systems"" gathers original research articles reporting results on the steadily growing area of agent-oriented computing and multi-agent systems technologies. After more than 20 years of academic research on multi-agent systems (MASs), in fact, agent-oriented models and technologies have been promoted as the most suitable candidates for the design and development of distributed and intelligent applications in complex and dynamic environments. With respect to both their quality and range, the papers in this Special Issue already represent a meaningful sample of the most recent advancements in the field of agent-oriented models and technologies. In particular, the 17 contributions cover agent-based modeling and simulation, situated multi-agent systems, socio-technical multi-agent systems, and semantic technologies applied to multi-agent systems. In fact, it is surprising to witness how such a limited portion of MAS research already highlights the most relevant usage of agent-based models and technologies, as well as their most appreciated characteristics. We are thus confident that the readers of Applied Sciences will be able to appreciate the growing role that MASs will play in the design and development of the next generation of complex intelligent systems. This Special Issue has been converted into a yearly series, for which a new call for papers is already available at the Applied Sciences journal’s website: https://www.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems_2019.

Keywords

scaled consensus --- delay --- formation tracking --- multi-agent system --- collision avoidance --- multiple passive agents --- Mobile Robot Navigation --- pedestrian environment --- kinodynamic planning --- velocity obstacle --- agent-based modeling --- complex network --- multi-agent system --- network management --- [-5]agent-based simulation --- agent-based social simulation --- multi-agent system --- agent-oriented software engineering --- sociogram --- agent technology --- organizational model --- agent behavior --- travel behavior --- commuting --- carpooling --- online double auction --- mechanism design --- perishable goods --- multi-agent simulation --- bike sharing systems (BSS) --- regression models --- open data --- data visualization --- multi agent systems --- organizations and institutions --- socio-technical systems --- multi-agent systems --- electric vehicles --- charging stations --- genetic algorithm --- multi-agent system --- agent-based simulation --- 3D representation --- human-machine interaction --- ambient intelligence --- user interaction levels --- intelligent agents --- intelligent hybrid systems --- type-2 fuzzy inference system --- methodologies for agent-based systems --- organizations and institutions --- socio–technical systems --- computational accountability --- social commitments --- agent-based programming --- multi-agent system --- BDI agents --- model-driven development --- agent development methodology --- semantic web service --- ontology --- SEA_ML --- electronic bartering system --- ambient intelligence --- cognitive disabilities --- mobile communication --- orientation --- person tracking --- trajectory mining --- agreement technologies --- coordination models --- multiagent systems --- smart cities --- surface vehicle --- underactuated vehicle --- RBFNNs --- directed graph --- coordinated control --- Behavior Trees (BTs) --- Genetic Programming (GP) --- autonomous agents --- behavior modeling --- tree mining --- agent development framework --- mobile device agent --- linked data --- semantic web --- multi-agent systems --- agent-based modelling --- agent-based simulation --- agent-oriented technologies --- coordination --- Artificial Intelligence --- computer science --- multi-agent systems --- agent methodologies --- agent-based simulation --- ambient intelligence --- smart cities

Understanding Game-based Approaches for Improving Sustainable Water Governance: The Potential of Serious Games to Solve Water Problems

Authors: --- --- --- --- et al.
ISBN: 9783039287628 / 9783039287635 Year: Pages: 272 DOI: 10.3390/books978-3-03928-763-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2020-06-09 16:38:57
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The sustainable governance of water resources relies on processes of multi-stakeholder collaborations and interactions that facilitate knowledge co-creation and social learning. Governance systems are often fragmented, forming a barrier to adequately addressing the myriad of challenges affecting water resources, including climate change, increased urbanized populations, and pollution. Transitions towards sustainable water governance will likely require innovative learning partnerships between public, private, and civil society stakeholders. It is essential that such partnerships involve vertical and horizontal communication of ideas and knowledge, and an enabling and democratic environment characterized by informal and open discourse. There is increasing interest in learning-based transitions. Thus far, much scholarly thinking and, to a lesser degree, empirical research has gone into understanding the potential impact of social learning on multi-stakeholder settings. The question of whether such learning can be supported by forms of serious gaming has hardly been asked. This Special Issue critically explores the potential of serious games to support multi-stakeholder social learning and collaborations in the context of water governance. Serious games may involve simulations of real-world events and processes and are challenge players to solve contemporary societal problems; they, therefore, have a purpose beyond entertainment. They offer a largely untapped potential to support social learning and collaboration by facilitating access to and the exchange of knowledge and information, enhancing stakeholder interactions, empowering a wider audience to participate in decision making, and providing opportunities to test and analyze the outcomes of policies and management solutions. Little is known about how game-based approaches can be used in the context of collaborative water governance to maximize their potential for social learning. While several studies have reported examples of serious games, there is comparably less research about how to assess the impacts of serious games on social learning and transformative change.

Keywords

simulations --- serious games --- Q-method --- integrated water resources management --- policy analysis --- nexus --- participatory modelling --- serious game --- system dynamics --- water-food-land-energy-climate --- active learning --- drinking water --- role-play --- stakeholder collaboration --- Water Safety Plan --- water supply --- serious games --- social simulation --- social learning --- relational practices --- river basin management --- water governance --- multi-party collaboration --- stakeholders --- experimental social research --- Maritime Spatial Planning (MSP) --- stakeholder participation --- serious game --- Blue Growth --- Good Environmental Status --- serious games (SGs) --- water management --- value change --- transcendental values --- social equity --- sustainability --- Schwartz’s Value Survey (SVS) --- Integrated Water Resource Management (IWRM) --- psychosocial perspectives --- decision-making processes --- assessment --- educational videogames --- online games --- water --- ecology education --- drinking water management --- peri-urban --- institutions --- gaming-simulation --- groundwater --- capacity building --- serious games --- planning support systems --- knowledge co-creation --- sustainability --- maritime spatial planning --- serious gaming --- flood --- urban --- rural --- infrastructure --- decision making --- serious games --- role-playing games --- learning-based intervention --- transformative change --- social learning --- aquaculture --- Mekong Delta --- mangrove --- gamification --- serious games --- water governance --- stakeholder participation --- sustainability --- game-based learning --- integrated water resource management (IWRM) --- natural resource management --- simulation --- serious game --- social learning --- stakeholder collaboration --- sustainability --- water governance

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