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Peer-to-peer energy trading optimization in energy communities using multi-agent deep reinforcement learning
In the past decade, the global distribution of energy resources has expanded significantly. The increasing number of prosumers creates the prospect...
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A multi-agent-based approach for community detection using association rules
In recent years, community detection has emerged as an important field of research, exerting a profound influence on various domains such as Social...
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DePAint: a decentralized safe multi-agent reinforcement learning algorithm considering peak and average constraints
The domain of safe multi-agent reinforcement learning (MARL), despite its potential applications in areas ranging from drone delivery and vehicle...
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Spatial planning of urban communities via deep reinforcement learning
Effective spatial planning of urban communities plays a critical role in the sustainable development of cities. Despite the convenience brought by...
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Recent Advances in Agent-Based Negotiation: Applications and Competition Challenges
This book comprises carefully selected and reviewed outcomes of the 13th International Workshop on Automated Negotiations (ACAN) held in Vienna,...
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Collaborative Digital Twins: The Case of the Energy Communities
The process of urbanization is accelerating on a global scale, leading to the rapid expansion of cities and urban settlements. However, this...
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Consensus of hybrid linear multi-agent systems with periodic jumps
The consensus problem for a class of hybrid linear multi-agent systems has been studied. By utilizing the modified H ∞ type Riccati inequalities, both...
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Human–agent interaction as augmentation of social intelligence
Human–agent interaction is a means of extending our society through social agents, artificial beings that work through social channels to humans....
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An Integrated Approach to Predicting the Influence of Reputation Mechanisms on Q&A Communities
The reputation mechanism is a commonly used incentive mechanism to motivate users to participate in Q&A communities, which needs to be carefully...
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Tackling school segregation with transportation network interventions: an agent-based modelling approach
We address the emerging challenge of school segregation within the context of free school choice systems. Households take into account both proximity...
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Multi-objective reinforcement learning for designing ethical multi-agent environments
This paper tackles the open problem of value alignment in multi-agent systems. In particular, we propose an approach to build an ethical environment...
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Modeling Cognitive Workload in Open-Source Communities via Simulation
Large open-source projects such as the Linux kernel provide a unique opportunity to analyze many of the socio-technical processes of open-source...
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Agent-based bidirectional charging algorithms for battery electric vehicles in renewable energy communities
This paper introduces a framework for agent based autonomous charging and discharging of Battery Electric Vehicle (BEV) at local energy communities....
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Agent-based modeling (ABM) for urban neighborhood energy systems: literature review and proposal for an all integrative ABM approach
Advancing the energy transition in real-world urban settings is attracting interest within interdisciplinary research communities. New challenges for...
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A survey of multi-agent deep reinforcement learning with communication
Communication is an effective mechanism for coordinating the behaviors of multiple agents, broadening their views of the environment, and to support...
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IAFCO: an intelligent agent-based framework for combinatorial optimization
Solving combinatorial optimization problems (COPs) poses a significant challenge in various application domains. The NP-hardness of many COPs...
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Learning multi-agent coordination through connectivity-driven communication
In artificial multi-agent systems, the ability to learn collaborative policies is predicated upon the agents’ communication skills: they must be able...
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Social network interventions in the space of topological relationships between communities
A social network intervention is a process of intentionally altering a social network to achieve an objective. The objective in question may concern...
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The Adoption of smart health services by older adults in retirement communities: analysis with the technology acceptance model (TAM)
Currently, an increasing number of elderly people are choosing to live in elderly care communities, where they have access to smart health services....
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Improving tobacco social contagion models using agent-based simulations on networks
Tobacco use is the leading cause of preventable deaths in developed countries. Many interventions and policies have been implemented to reduce the...
