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Dynamics of Joint-Action, Social Coordination and Multi-Agent Activity

Authors: --- --- --- --- et al.
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889454204 Year: Pages: 379 DOI: 10.3389/978-2-88945-420-4 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Psychology
Added to DOAB on : 2018-11-16 17:17:57
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Coordinating one’s behavior with the behavior of other individuals is a fundamental feature of everyday social interaction. A defining feature of such behavior is that it is dynamic, that is, it evolves over time. This is true whether one considers the linguistic, gestural and non-verbal coordination that occurs between two or more individuals engaged in a conversation or the physical movement coordination that occurs when two or more people clear a dinner table or load a dishwasher together. Such behavior is also emergent and robust to sudden changes in task context or unexpected environmental or social perturbations. Accordingly, robust social action and multi-agent coordination is synergistic, with co-acting individuals adapting to each other and the environment around them in a mutual and reciprocal manner. Research investigating the behavioral dynamics of joint-action and multi-agent coordination has steadily increased over the last several decades. Spurred by several factors, including (i) the increased accessibility of technologies for recording and extracting the time-evolution of multi-agent behavior (e.g., motion tracking, eye-tracking, EEG), (ii) the development of new nonlinear techniques for analyzing behavioral and linguistic time-series data, and (iii) a growing appreciation that social cognition, perception, and action are interdependent, embodied and embedded processes, this research has not only been directed towards measuring and identifying the stable patterns of coordinated social and multi-agent activity that emerge over time, but also how these stable pattern are activated, dissolved, transformed, and exchanged over time. Not surprisingly, researchers have begun to investigate the implications of this behavioral dynamics perspective for understanding social cognitive processes as well as clinical disorders with social deficits such as autism and schizophrenia. Attempts at modeling the dynamics of social action and multi-agent behavior using various nonlinear and complex systems methods has also increased over the last several years, with many researchers demonstrating how simple low-dimensional dynamical or computational models can be employed to capture and explain the dynamics of ongoing joint-action and multi-agent behavior. A characteristic feature of these dynamical models is that they reveal how stable social action and multi-agent coordination arises naturally from the interaction of the physical, biomechanical, neural, informational, and social cognitive properties of a joint-action task context and goal, and cannot be ascribed to any one singular processes, agent, or level of analysis. The implications of these modeling endeavors for the design of robust and adaptive human-machine systems and robotic agents has not gone unnoticed, with a growing body of work now devoted to such joint-action, (bio)-inspired human-robotic interaction initiatives.

Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models

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ISBN: 9783866449466 Year: Pages: XIV, 181 p. DOI: 10.5445/KSP/1000031133 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:02:01
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Complexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids.

Organic Service-Level Management in Service-Oriented Environments

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ISBN: 9783866447301 Year: Pages: XVI, 363 p. DOI: 10.5445/KSP/1000024188 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Business and Management
Added to DOAB on : 2019-07-30 20:01:58
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Dynamic service-oriented environments (SOEs) are characterised by a large number of heterogeneous service components that are expected to support the business as a whole. The present work provides a negotiation-based approach to facilitate automated and multi-level service-level management in an SOE, where each component autonomously arranges its contribution to the whole operational goals. Evaluation experiments have shown an increased responsiveness and stability of an SOE in case of changes.

Konzept einer agentenbasierten Transportsteuerung: für komplexe, dynamische und multimodale Logistiknetzwerke

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Book Series: Wissenschaftliche Berichte des Instituts für Fördertechnik und Logistiksysteme des Karlsruher Instituts für Technologie ISSN: 01712772 ISBN: 9783731504467 Year: Volume: 87 Pages: IX, 283 p. DOI: 10.5445/KSP/1000050382 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:58
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Transports within industrial logistics networks are planned strategically. Due to the existence of uncertainties an operational control of transports is necessary. Thereby, dispatchers are today not supported adequately. A control approach for dynamic, complex and multimodal transports is developed, which intends to support or automate the operational control. The approach has a decentral and heterarchical organization, in which the goods and means of transports are modeled as agents.

Controlled self-organisation using learning classifier systems

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ISBN: 9783866444317 Year: Pages: XXV, 218 p. DOI: 10.5445/KSP/1000013138 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:59
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The complexity of technical systems increases, breakdowns occur quite often. The mission of organic computing is to tame these challenges by providing degrees of freedom for self-organised behaviour. To achieve these goals, new methods have to be developed. The proposed observer/controller architecture constitutes one way to achieve controlled self-organisation. To improve its design, multi-agent scenarios are investigated. Especially, learning using learning classifier systems is addressed.

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

Complexity, Criticality and Computation (C³)

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ISBN: 9783038425144 9783038425151 Year: Pages: VI, 262 DOI: 10.3390/books978-3-03842-515-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Physics (General)
Added to DOAB on : 2017-10-02 11:37:22
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Complex systems is a new approach to science, engineering, health and management that studies how relationships between parts give rise to the collective emergent behaviours of the entire system, and how the system interacts with its environment.A system can be thought of as complex if its dynamics cannot be easily predicted, or explained, as a linear summation of the individual dynamics of its components. In other words, the many constituent microscopic parts bring about macroscopic phenomena that cannot be understood by considering a single part alone (“the whole is more than the sum of the parts”). There is a growing awareness that complexity is strongly related to criticality: the behaviour of dynamical spatiotemporal systems at an order/disorder phase transition where scale invariance prevails.Complex systems can also be viewed as distributed information-processing systems. Consciousness emerging from neuronal activity and interactions, cell behaviour resultant from gene regulatory networks and swarming behaviour are all examples of global system behaviour emerging as a result of the local interactions of the individuals (neurons, genes, animals). Can these interactions be seen as a generic computational process? This question shapes the special issue, linking computation to complexity and criticality.

Distributed Energy Resources Management 2018

Authors: ---
ISBN: 9783039281701 9783039281718 Year: Pages: 286 DOI: 10.3390/books978-3-03928-171-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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The Special Issue Distributed Energy Resources Management 2018 includes 13 papers, and is a continuation of the Special Issue Distributed Energy Resources Management. The success of the previous edition shows the unquestionable relevance of distributed energy resources in the operation of power and energy systems at both the distribution level and at the wider power system level. Improving the management of distributed energy resources makes it possible to accommodate the higher penetration of intermittent distributed generation and electric vehicle charging. Demand response programs, namely the ones with a distributed nature, allow the consumers to contribute to the increased system efficiency while receiving benefits. This book addresses the management of distributed energy resources, with a focus on methods and techniques to achieve an optimized operation, in order to aggregate the resources namely in the scope of virtual power players and other types of aggregators, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as an enabler for their increased and efficient use.

Keywords

clustering --- demand Response --- distributed generation --- smart grids --- demand-side management --- multi-agent system --- distributed coordination --- distributed energy resources --- swarm intelligence --- virtual power plant --- distributed energy resources --- multi-agent technology --- bidding strategy --- stackelberg dynamic game --- aggregator --- distribution system operator --- distributed energy resources --- local flexibility market --- flexibility service --- distributed energy --- comprehensive benefits --- multi-agent synergetic estimation --- synergistic optimization strategy --- control system --- fault-tolerant control --- algorithm design and analysis --- IoT (Internet of Things) --- nonlinear control --- optimization --- DSM --- microgrid --- solar --- wind --- teaching-learning --- microgrid --- energy storage system --- distributed generator --- frequency control --- active power control --- autonomous control --- droop control --- frequency bus-signaling --- batteries --- energy storage --- microgrids --- optimal scheduling --- particle swarm optimization --- power system management --- smart grid --- supply and demand --- trade agreements --- low voltage networks --- multi-period optimal power flow --- multi-temporal optimal power flow --- active distribution networks --- unbalanced networks --- indoor environment quality --- occupant comfort --- building climate control --- healthy building --- energy efficiency --- adaptability --- decentralized energy management system --- local energy trading --- multi-agent system --- optimization --- smart grid --- demand response --- distributed generation --- particle swarm optimization --- prosumer --- n/a

Cooperative Connected and Automated Mobility (CCAM): Technologies and Applications

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ISBN: 9783039281589 9783039281596 Year: Pages: 128 DOI: 10.3390/books978-3-03928-159-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:08
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Cooperative connected and automated mobility (CCAM) has the potential to reshape the transportation ecosystem in a revolutionary way. Transportation systems will be safer, more efficient and more comfortable. Cars are going to be the third living space, as passengers will have the freedom to use their car to live, work and travel. Despite the massive effort devoted, both by academia and industry, to developing connected and automated vehicles, there are still many issues to be addressed, including not only scientific and technological, but also regulatory and political issues. This book, mostly centered on the scientific and technological aspects of CCAMs, features seven articles highlighting recent advances of the state of the art in different CCAM technologies. Two papers address vehicular platooning, a key application for day-1 automated driving, other presents a scheme to improve the resource utilization of vehicular networks, while another paper addresses critical train communications, proposing an architecture based on 5G, SDN and MPTCP to provide path diversity and end-to-end redundancy. One paper describes the status of roadside deployment activities and analyzes the policies and practices of cooperative driving in the European Union. Finally, two review papers, one on congestion control techniques for VANETs and the other on fault tolerance techniques for vehicular networks, conclude the book.

Distributed Energy Resources Management

Author:
ISBN: 9783038977186 Year: Pages: 236 DOI: 10.3390/books978-3-03897-719-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Physics (General) --- Science (General)
Added to DOAB on : 2019-03-21 15:50:41
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At present, the impact of distributed energy resources in the operation of power and energy systems is unquestionable at the distribution level, but also at the whole power system management level. Increased flexibility is required to accommodate intermittent distributed generation and electric vehicle charging. Demand response has already been proven to have a great potential to contribute to an increased system efficiency while bringing additional benefits, especially to the consumers. Distributed storage is also promising, e.g., when jointly used with the currently increasing use of photovoltaic panels. This book addresses the management of distributed energy resources. The focus includes methods and techniques to achieve an optimized operation, to aggregate the resources, namely, by virtual power players, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as a main drive for their efficient use.

Keywords

ac/dc hybrid microgrid --- adaptive droop control --- autonomous operation --- distributed generation --- energy management system --- aggregator --- optimal bidding --- electricity markets --- probabilistic programming --- microgrid --- uncertainty --- hierarchical game --- non-cooperative game (NCG) --- energy trading --- pricing strategy --- demand response --- distributed generation --- microgrid --- real-time simulation --- consensus algorithm --- diffusion strategy --- distributed system --- energy management system --- microgrid operation --- optimal operation --- microgrids --- renewable energy --- storage --- scheduling --- co-generation --- decision-making under uncertainty --- domestic energy management system --- energy flexibility --- interval optimization --- stochastic programming --- Unit Commitment (UC) --- Demand Response (DR) --- Demand Response Unit Commitment (DRUC) --- Cat Swarm Optimization (CSO) --- average consensus algorithm (ACA) --- black start --- local controller --- microgrid (MG) --- multi-agent system (MAS) --- power system restoration (PSR) --- demand-side energy management --- multiplier method --- Powell direction acceleration method --- advance and retreat method --- thermal comfort --- transmission line --- fault localization --- time series --- ARIMA --- discrete wavelet transformer --- demand response --- virtual power plant --- energy flexibility potential --- aggregators --- business model --- building energy flexibility --- aggregator --- clustering --- demand response --- distributed generation

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