Modeling a user’s evolving goals, values, and affect over time is central to perspective-aware AI, yet progress is bottlenecked by the lack of longitudinal data with ground-truth labels for the latent identity state. We introduce PAiNT (Perspec...
The paper is devoted to an overview of multi-agent principles, methods, and technologies intended to adaptive real-time data clustering. The proposed methods provide new principles of self-organization of records and clusters, represented by software...
In studies of intelligent agents, the pursuit–evasion problem, commonly related to the predator–prey paradigm, has been used as a reference setting for examining decision-making, coordination, and adaptation in multi-agent systems. In thi...
This article aims to explore the relationship between social innovation and opportunities for innovation in public services, focusing on a range of initiatives intended to improve services and infrastructure for pedestrians in the city of São...
This paper reports the Sophimatic Multi-Agent System (MAS), the first integrated operational implementation of the six-phase Sophimatics framework: a three-tier containerised prototype (React/FastAPI/MySQL, ~25,000 lines of code) with an agent catalo...
Decentralized task allocation among multiple Unmanned Aerial Vehicles (UAVs) is a critical NP-hard combinatorial optimization problem for enabling autonomous swarms to operate without central supervision. Multi-UAV research has advanced distributed a...
In this paper, we consider the cooperative decision-making problem for multi-target tracking in multi-agent systems using multi-agent deep reinforcement learning algorithms. Multi-agent multi-target pursuit has faced new challenges in practical appli...
In many existing multi-agent reinforcement learning tasks, each agent observes all the other agents from its own perspective. In addition, the training process is centralized, namely the critic of each agent can access the policies of all the agents....
Construction engineering and management (CEM) involves multiple stakeholders, complex interest relationships, and conflicts. All stakeholders must comprehensively consider the interests relating to a project to make decisions. Appropriate multi-agent...
To study the interactive impact and multi-agent intervention effect caused by multiple public opinion events, a SI3R interactive public opinion communication model is proposed in this paper. Based on interactive public opinion evolution and influence...
Mobile application innovation diffusion can be used to enhance the reputation and competitiveness of Internet enterprises. However, few works have explored the process of mobile application innovation diffusion from the individual perspective. Theref...
Due to the environmental impacts of greenhouse gas emissions from traditional combustion vehicles, governments worldwide are encouraging the transition to electric vehicles (EVs). However, as EV use increases, user-related charging challenges have be...
The event-triggered consensus of multi-agent systems received extensive attention in academia and industry perspectives since it ensures all agents eventually converge to a stable state while reducing the utilization of network communication resource...
With the rapid development of a new generation of information technology and data systems, there are more and more modern logistics park projects appearing in China. However, in the process of the construction and operation of a logistics park projec...
The construction of Smart Grids leads to the main question of what kind of intelligence such grids require and how to build it. Some authors choose an agent based solution to realize this intelligence. However, there may be some misunderstandings in...
In cooperative multi-agent reinforcement learning (MARL), communication can address the challenges of partial observability and environmental non-stationarity by conveying environmental features and decision intents, respectively. However, existing m...
In view of the problems such as low efficiency, difficulty in resolving local conflicts and lack of practical application scenarios, existing in the interaction model of multi-agent systems in a distributed environment, a multi-master multi-slave int...
The increasing number of robots around us creates a demand for connecting these robots in order to achieve goal-driven teamwork in heterogeneous multi-robot systems. In this paper, we focus on robot teamwork specifically in dynamic environments. Whil...
Communication is one of the most notable processes in a multi-agent system. For this reason, considerable attention is paid to it—from abstract levels presenting theoretical models describing the basic principles to an implementation level with...
This paper investigates whether structured collaboration between multiple large language models (LLMs), each assigned a distinct cognitive role grounded in psychological theory, produces benefits beyond simple answer aggregation. We propose the Paral...
Early-stage healthcare innovation depends on systematic unmet need discovery, a process constrained by time and multidisciplinary coordination. We developed BioDesign Agent, a multi-agent debate framework built on LangGraph to augment the identify ph...
The recent availability of low cost and miniaturized hardware has allowedwireless sensor networks (WSNs) to retrieve audio and video data in real worldapplications, which has fostered the development of wireless multimedia sensor networks(WMSNs). Res...
Efficient exploration remains a key challenge in cooperative multi-agent reinforcement learning (MARL), where the novelty of a joint situation may arise not only from unfamiliar individual observations but also from previously underrepresented intera...
Large Language Models have rapidly advanced, enabling composite multi-agent systems capable of sophisticated text-based collaboration. In domains that demand coordinated reasoning, teams of agents can combine complementary strengths to produce better...
Multi-agent systems, robotics and software engineering are large and active research areas with many applications in academia and industry. The First Workshop on Agents and Robots for reliable Engineered Autonomy (AREA), organised the first time in 2...
This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space Exploration. The recommended approach combines a parameterized Aquila Optimizer, a bio-inspired technology, with deterministic Multi-Agent Exploration. Stocha...
This article delves into the complex world of quantum games in multi-agent settings, proposing a model wherein agents utilize gradient-based strategies to optimize local rewards. A learning model is introduced to focus on the learning efficacy of age...
Against the backdrop of increasingly stringent natural forest protection and comprehensive logging bans, forest-dependent regions confront structural constraints between ecological conservation and economic development, necessitating the exploration...
Multi-agent reinforcement learning (MARL) has demonstrated significant application potential in addressing cooperative control, policy optimization, and task allocation problems in complex systems. This paper focuses on its applications and developme...
Critical to social sustainability and organizations’ growth, at present, is gender equality. Yet, egalitarian principles are difficult to apply in the practice, particularly in private firms. Acknowledging previous calls that research should respond...
Background: Digital marketing increasingly functions as a complex adaptive system characterised by non-stationary environments, strategic interaction, and multi-agent competition. Programmatic advertising exemplifies this complexity, where decisions...
Pursuit-evasion games are used to define guidance strategies for multi-agent planning problems. Although optimal strategies exist for deterministic scenarios, in the case when information about the opponent players is imperfect, it is important to ev...
The paper introduces a proposal of an Autonomous Navigation System for Unmanned Surface Vessels. The system architecture is presented with a special emphasis on collision avoidance and maneuver auto-negotiation. For the purpose of maneuver auto-negot...
The article proposes the concept of modeling that uses multi-agent systems of mutual interactions between city residents as well as interactions between residents and spatial objects. Adopting this perspective means treating residents, as well as bui...
To address the current limitation of Alternative Food Networks (AFNs) in tackling urban–rural sustainability issues, this study proposes a Cooperative Human-Agent Service System (CHASS) by leveraging the decentralized communication and coordina...
This paper presents MARTINE (Multi-Agent based Real-Time INfrastruture for Energy), a simulation, emulation and energy management platform for the study of problems related to buildings and smart grids. Relevant advances related to buildings and smar...
Intelligent agents are emerging as an important system-level paradigm for smart agriculture. This review focuses on modern agricultural intelligent agents driven by large language models and related multimodal foundation models and examines how this...
The objective of this study is to investigate the structure for learning and the learning outcomes from a paper exercise based on multiagency collaboration, and point to potential benefits for crisis leadership and management in civil organizations....
In the ongoing data-rich era, intelligent cognition is playing an increasingly important role in advancing remote sensing applications. However, traditional intelligent methods for remote sensing processing no longer fully meet the growing demands of...
Blockchain is a very attractive technology since it maintains a public, append-only, immutable and ordered log of transactions which guarantees an auditable ledger accessible by anyone. Blockchain systems are inherently interdisciplinary since they c...
Following the current technological development and informational advancement, more and more physical systems have become interconnected and linked via communication networks. The objective of this work is the development of a Coalitional Distributed...
Artificial intelligence (AI) is an umbrella term that encompasses different fields of study, and topics related to these fields are addressed separately or within the scope of AI. Multi-agent systems (MASs) and machine learning (ML) are the core conc...
The promotion of farmers’ green production behavior (GPB) to accelerate agricultural green development and food system transformation is a popular issue worldwide. Based on the representative literature from 2015 to October 2024, this study rev...
In this article, the performance indices on consensus problems for three-layered, multiagent systems are studied from the perspective of algebraic graph theory, where the indices can be used as a measurement of the system performance and refer to the...
In the analysis and design of multi-agent systems, the representation and communication of knowledge is a critical challenge. The traditional methods of the past, such as dynamic epistemic logic, often lack a process algebraic perspective for modelin...
As an emerging direction of multi-agent collaborative control technology, multiple autonomous underwater vehicle (multi-AUV) cooperative area search technology has played an important role in civilian fields such as marine resource exploration and de...
Modern power systems are undergoing a structural transformation driven by the rapid integration of renewable energy sources, distributed energy resources, electrification, and increasing operational uncertainty. These developments expose the limitati...
Large language models (LLMs) have demonstrated impressive capabilities, yet they face significant limitations in real-world applications. To overcome these boundaries, research areas such as tool learning, model collaboration, agents, and multi-agent...
The paper analyzes the concepts of uncertainty and surprise as key variables of a socio-ecological system’s behavior in the context of the theory of complexity. Experiences from the past have shown that living with uncertainty is part of our daily li...
19 November 2022
In the post-epidemic era, China’s urban communities are at the forefront of implementing the whole chain of accurate epidemic prevention and control. However, the uncertainty of COVID-19, the loopholes in community management and people’s...
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