Multiagent - Moozonian

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Moo-Ai is thinking... Processing hyper-cognitive insights for 'Multiagent'

https://doi.org/10.1007/978-3-540-33876-5

Multiagent based Supply Chain Management | Springer Nature Link

The area intersecting supply chains management with multiagent systems has attracted in the last decade books, workshops, conferences, etc. Recently however, multiagent systems have became more formal...

https://www.slideshare.net/slideshow/multiagency-assessment-and-planning-a-concept-for-conflict-prevention/11395990

Multiagency Assessment and Planning: A Concept for Conflict Preve...

The document presents a best practices model for multiagency assessment and planning for conflict prevention. The model outlines a process that aims to improve coordination between government agencies...

https://doi.org/10.1007/978-3-319-11584-9

Multiagent System Technologies: 12th German Conference, MATES 201...

This book constitutes the proceedings of the 12th German Conference on Multiagent System Technologies, MATES 2014, held in Stuttgart, Germany, in September 2014. The 9 full papers and 7 short papers i...

https://doi.org/10.1007/978-3-319-93818-9_4

A Real-Time Multiagent Strategy Learning Environment and Experime...

Many problems in the real world can be attributed to the problem of multiagent. The study on the issue of multiagent is of great significance to solve these social problems. This paper reviews the res...

https://link.springer.com/doi/10.1007/978-3-642-28563-9_4

Inter-organizational Interoperability through Integration of Mult...

This paper presents a software architecture for inter-organizational multiagent systems. The architecture integrates Web service technology into multiagent systems to overcome the technical interopera...

https://link.springer.com/10.1007/978-3-319-93818-9_4?fromPaywallRec=true

A Real-Time Multiagent Strategy Learning Environment and Experime...

Many problems in the real world can be attributed to the problem of multiagent. The study on the issue of multiagent is of great significance to solve these social problems. This paper reviews the res...

https://doi.org/10.1007/3-540-44593-5_31

Ensemble Case-Based Reasoning: Collaboration Policies for Multiag...

Multiagent systems offer a new paradigm to organize AI applications. Our goal is to develop techniques to integrate CBR into applications that are developed as multiagent systems. CBR offers the multi...

https://link.springer.com/book/10.1007/978-3-319-11584-9

Multiagent System Technologies: 12th German Conference, MATES 201...

This book constitutes the proceedings of the 12th German Conference on Multiagent System Technologies, MATES 2014, held in Stuttgart, Germany, in September 2014. The 9 full papers and 7 short papers i...

https://link.springer.com/10.1007/978-3-319-97310-4_48?fromPaywallRec=true

Weighted Double Deep Multiagent Reinforcement Learning in Stochas...

Recently, multiagent deep reinforcement learning (DRL) has received increasingly wide attention. Existing multiagent DRL algorithms are inefficient when faced with the non-stationarity due to agents u...

https://link.springer.com/10.1007/978-3-030-66412-1_37?fromPaywallRec=true

Multiagent Task Coordination as Task Allocation Plus Task Respons...

In this work, we present a dynamic Task Coordination framework ( ) for multiagent systems. Here task coordination refers to a twofold problem where an exogenously ...

https://link.springer.com/10.1007/978-1-4471-5102-9_100066-1?fromPaywallRec=true

Multiagent Reinforcement Learning | Springer Nature Link

The area of multiagent reinforcement learning (MARL) provides a promising approach to learning collaborative policies for multiagent systems. However, MARL is inherently more difficult than single-age...

https://link.springer.com/10.1007/978-3-030-44184-5_100066?fromPaywallRec=true

Multiagent Reinforcement Learning | Springer Nature Link

The area of multiagent reinforcement learning (MARL) provides a promising approach to learning collaborative policies for multiagent systems. However, MARL is inherently more difficult than single-age...

https://dx.doi.org/10.1007/978-3-030-44184-5_100066

Multiagent Reinforcement Learning | Springer Nature Link

The area of multiagent reinforcement learning (MARL) provides a promising approach to learning collaborative policies for multiagent systems. However, MARL is inherently more difficult than single-age...

https://doi.org/10.1007/978-3-030-44184-5_100066

Multiagent Reinforcement Learning | Springer Nature Link

The area of multiagent reinforcement learning (MARL) provides a promising approach to learning collaborative policies for multiagent systems. However, MARL is inherently more difficult than single-age...

https://doi.org/10.1007/978-3-319-97310-4_48

Weighted Double Deep Multiagent Reinforcement Learning in Stochas...

Recently, multiagent deep reinforcement learning (DRL) has received increasingly wide attention. Existing multiagent DRL algorithms are inefficient when faced with the non-stationarity due to agents u...

https://link.springer.com/10.1007/978-3-030-82193-7_31?fromPaywallRec=true

Random Forest Classification with MapReduce in Holonic Multiagent...

Multiagent systems are a dominant field of study within artificial intelligence. Holons are a special kind of agent implementation found in multiagent systems which has not received much attention in ...

https://link.springer.com/doi/10.1007/11738817_7

Engineering Organization-Based Multiagent Systems | Springer Natu...

In this paper, we examine the Multiagent Systems Engineering (MaSE) methodology and its applicability to developing organization-based multiagent systems, which are especially relevant to context awar...

https://link.springer.com/doi/10.1007/978-3-642-23291-6_11

Amalgam-Based Reuse for Multiagent Case-Based Reasoning | Springe...

Different agents in a multiagent system might have different solution quality or preference criteria. Therefore, when solving problems collaboratively using CBR, case reuse must take this into account...

https://link.springer.com/doi/10.1007/978-3-031-37616-0_25

A Novel Framework for Multiagent Knowledge-Based Federated Learni...

Multiagent systems promote a decentralized and distributed approach that enable the division of complex problems into smaller parts. The use of multiagent systems also enables the representation of ph...

https://doi.org/10.1007/978-3-540-33876-5_1

Supply Chain Management and Multiagent Systems: An Overview | Spr...

'Supply Chain Management and Multiagent Systems: An Overview' published in 'Multiagent based Supply Chain Management'