Results 41 to 50 of about 208,866 (181)

Avoiding collaborative paradox in multi‐agent reinforcement learning

ETRI Journal, 2021
The collaboration productively interacting between multi‐agents has become an emerging issue in real‐world applications. In reinforcement learning, multi‐agent environments present challenges beyond tractable issues in single‐agent settings.
Hyunseok Kim, Seonghyun Kim, Donghun Lee, Ingook Jang   +3 more
doaj   +1 more source

Modern Trends in Multi-Agent Systems

Future Internet
The term “multi-agent system” is generally understood as an interconnected set of independent entities that can effectively solve complex and time-consuming problems exceeding the individual abilities of common problem solvers [...]
Martin Kenyeres, Ivana Budinská, Ladislav Hluchý, Agostino Poggi   +3 more
doaj   +1 more source

Optimal path planning of multi-agent cooperative systems with rigid formation [PDF]

, 2023
Ananda Rangan Narayanan, Mi Zhou, Erik I. Verriest   +2 more
openalex   +1 more source

Eight challenges in modelling disease ecology in multi-host, multi-agent systems

Epidemics, 2015
Many disease systems exhibit complexities not captured by current theoretical and empirical work. In particular, systems with multiple host species and multiple infectious agents (i.e., multi-host, multi-agent systems) require novel methods to extend the
Michael G. Buhnerkempe, Mick G. Roberts, Andrew P. Dobson, Hans Heesterbeek, Peter J. Hudson, James O. Lloyd-Smith   +5 more
doaj   +1 more source

Multi Agent Systems

International Journal For Multidisciplinary Research
The dominant paradigm of the modern internet, built on graphical user interfaces (GUIs) and discrete web applications, forces users into a fragmented and manual process of interaction, fundamentally limiting the complexity of tasks that can be automated.
Manav Manoj, Vishnu Mohan C -
openaire   +2 more sources

Multi-Agent Contextual Bandits for Multi-Objective Recommendation Systems [PDF]

ITM Web of Conferences
In this work, the use of multi-agent contextual bandits to optimize multi-objective recommendation systems in resource-constrained settings is examined.
Zhu Ziwen
doaj   +1 more source

Bridging the Gap between ABM and MAS: A Disaster-Rescue Simulation Using Jason and NetLogo

Computers, 2018
An agent is an autonomous computer system situated in an environment to fulfill a design objective. Multi-Agent Systems aim to solve problems in a flexible and robust way by assembling sets of agents interacting in cooperative or competitive ways for the
Wulfrano Arturo Luna-Ramirez, Maria Fasli   +1 more
doaj   +1 more source

Teams in Multi-Agent Systems [PDF]

, 2007
Multi-agent systems involve agents interacting with each other and the environment and working to achieve individual and group goals. The achievement of group goals requires that agents work together within teams. In this paper we first introduce three philosophical approaches that result from different answers to two key questions.
Jarvis, Bevan., Jarvis, Dennis., Jain, L. C.   +2 more
openaire   +2 more sources

OPACA: Toward an Open, Language- and Platform-Independent API for Containerized Agents

IEEE Access
While multi-agent frameworks can provide many advanced features, they often suffer from not being able to seamlessly interact with the outside world, e.g., with web-services or other multi-agent frameworks.
Benjamin Acar, Tobias Kuster, Oskar F. Kupke, Robert K. Strehlow, Marc Guerreiro Augusto, Fikret Sivrikaya, Sahin Albayrak   +6 more
doaj   +1 more source

Human-AI collaboration in Hybrid Multi-Agent Systems [PDF]

International Journal of Electronics and Telecommunications
This paper examines Hybrid Multi-Agent Systems, integrating both human and non-human intelligent agents, as a new subject of management research. It presents original definitions of key concepts: intelligent agents, artificial intelligent agents, and ...
Rafal Labedzki
doaj   +1 more source