Results 51 to 60 of about 37,633,914 (99)
Preference‐Based Representations for Collective Agency
Topics in Cognitive Science, EarlyView.Abstract Computational accounts of learning and decision‐making in cognitive systems, and models thereof, such as reinforcement learning, typically assume that the behavior of individual agents is determined by an externally designated reward signal such that the agent's goal is the maximization of its expected accumulated reward under the state ...
Nadav Amir +2 more
wiley +1 more source
Parameterized Algorithms for Multiagent Pathfinding on Trees
The classical Multiagent Pathfinding problem has been extensively studied not only within the artificial intelligence research community, but also by scholars in the areas of theoretical computer science and computational geometry. The problem asks for a
Ramanujan, M. S.; orcid: +4 more
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Topics in Cognitive Science, EarlyView.AbstractThis review presents goal‐directed latent variable inference (GLean) as a unified active inference framework for embodied intelligence operating in continuous spatiotemporal domains. We address a central challenge in cognitive science: how agents generate, adapt, and understand goal‐directed actions in noisy, high‐dimensional sensorimotor ...
Takazumi Matsumoto +2 more
wiley +1 more source
Toxicity of Cytarabine Intravenous Constant Rate Infusion in Cats With Lymphoma
Veterinary and Comparative Oncology, EarlyView.ABSTRACT Cytarabine intravenous constant rate infusion (IV CRI) toxicity in cats with lymphoma has not been well documented. We aimed to assess toxicities following cytarabine IV CRI as a single‐agent or within a multiagent protocol in cats with lymphoma. Medical records of cats with lymphoma treated with cytarabine IV CRI, with documented dose, route,
Rachel Hanford +5 more
wiley +1 more source
Vector: The Journal of Engineering, Volume 2027, Issue 1, January/December 2027.This study is concerned with the application of consensus control to a class of discrete‐time nonlinear multi‐agent systems with unknown inputs and additive noise. The aim is to design an extended Kalman unknown input observer (EKUIO) such that the state vector of a discrete‐time nonlinear system can be estimated, additive noise can be mitigated, and ...
Yan Ren +3 more
wiley +1 more source
Stability of evolving multiagent systems
, 2011 A multiagent system is a distributed system where the agents or nodes perform complex functions that cannot be written down in analytic form. Multiagent systems are highly connected, and the information they contain is mostly stored in the connections ...
Briscoe, Gerard +4 more
core +1 more source
From “how” to learn to “what” to learn in multiagent systems and robotics
AI Magazine, Volume 47, Issue 4, Winter 2026.Abstract There remains much more to Artificial Intelligence than understanding how to learn with neural networks. Inspired in part by how babies, and humans in general, tend to choose for themselves what (and when) to learn in addition to how to learn, this article discusses similar opportunities, in the areas of multiagent systems and robotics ...
Peter Stone
wiley +1 more source
Conformal set-based human-AI complementarity with multiple experts [PDF]
AAMAS '25: International Conference on Autonomous Agents and Multiagent Systems, Detroit MI, USA, May 19 - 23, 2025202507 bcchVersion of RecordRGCOthersHong Kong Polytechnic ...
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Coordinated Control and Estimation of Multiagent Systems with Engineering Applications [PDF]
, 2014 Recently, coordinated control and estimation problems have attracted a great deal of attention in different fields especially in biology, physics, computer science, and control engineering.
Su, Housheng +4 more
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