Results 31 to 40 of about 58,229 (203)
Coupled Replicator Equations for the Dynamics of Learning in Multiagent Systems
, 2002 Starting with a group of reinforcement-learning agents we derive coupled replicator equations that describe the dynamics of collective learning in multiagent systems.
B. Kerr +15 more
core +1 more source
Aspects of cooperating agents [PDF]
, 1991 An overview on aspects about cooperating agents is presented. As multiagent systems are various, we start with a classification of multiagent systems which is particularly influenced by an article from Decker, Durfee, and Lesser [Decker& 89].
Stein, Johannes
core +2 more sources
Consensus of Multi-Integral Fractional-Order Multiagent Systems with Nonuniform Time-Delays
Complexity, 2018 Consensus of fractional-order multiagent systems (FOMASs) with single integral has been wildly studied. However, the dynamics with multiple integral (especially double integral to sextuple integral) also exist in FOMASs, and they are rarely studied at ...
Jun Liu, Wei Chen, Kaiyu Qin, Ping Li
doaj +1 more source
IEEE Access, 2023 This paper is concerned with the problem of bipartite containment control design for a class of nonlinear multiagent systems with time-delays in agents’ states under impulsive false-data-injection attacks.
Xinhua Wu
doaj +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
ACM Transactions on Information and System Security, 2003 We introduce a general framework for reasoning about secrecy requirements in multiagent systems. Our definitions extend earlier definitions of secrecy and nondeducibility given by Shannon and Sutherland. Roughly speaking, one agent maintains secrecy with respect to another if the second agent cannot rule out any possibilities for the behavior or state ...
O'Neill, Kevin R., Halpern, Joseph Y.
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Abstract and Applied Analysis, 2013 This paper is concerned with the leader-following consensus problem in mean-square for a class of discrete-time multiagent systems. The multiagent systems under consideration are the directed and contain arbitrary discrete time-delays.
Yurong Liu +2 more
doaj +1 more source
MULTIAGENT SYSTEMS ENGINEERING [PDF]
International Journal of Software Engineering and Knowledge Engineering, 2001 This paper describes the Multiagent Systems Engineering (MaSE) methodology. MaSE is a general purpose, methodology for developing heterogeneous multiagent systems. MaSE uses a number of graphically based models to describe system goals, behaviors, agent types, and agent communication interfaces.
SCOTT A. DELOACH +2 more
openaire +1 more source