Results 71 to 80 of about 13,833 (241)
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
Advanced Intelligent Systems, EarlyView.This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
Quantum Auctions: Facts and Myths [PDF]
Quantum game theory, whatever opinions may be held due to its abstract physical formalism, have already found various applications even outside the orthodox physics domain.
Edward W. Piotrowski, Jan Sladkowski
core
Online Local Learning via Semidefinite Programming
, 2014 In many online learning problems we are interested in predicting local information about some universe of items. For example, we may want to know whether two items are in the same cluster rather than computing an assignment of items to clusters; we may ...
Blum A., Hazan E., Kulis Brian, Niu Gang
core +1 more source
Enabling Stochastic Dynamic Games for Robotic Swarms
Advanced Intelligent Systems, EarlyView.This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley +1 more source
A bibliography of research on behavioral decision processes to 1968 [PDF]
Bibliography of research of human behavioral decision making processes to Jan ...
Edwards, W.
core +1 more source
BL-WoLF: A Framework For Loss-Bounded Learnability In Zero-Sum Games [PDF]
, 2003 We present BL-WoLF, a framework for learnability in repeated zero-sum games where the cost of learning is measured by the losses the learning agent accrues (rather than the number of rounds).
Conitzer, Vincent, Sandholm, Tuomas
core +4 more sources
Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
MusicSwarm: Biologically Inspired Intelligence for Music Composition
Advanced Intelligent Systems, EarlyView.Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Crop insurance is undoubtedly an extremely valuable element in protecting agricultural businesses, but in many cases standard indemnity‐based products have had very low uptake due to high transaction costs elevating premiums to unaffordable levels.
Amogh Prakasha Kumar +2 more
wiley +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT This study employs an intersectionality‐informed latent class analysis (LCA) to examine the hidden diversity of discouraged workers in Australia. Drawing on nationally representative data from the Household, Income and Labour Dynamics in Australia Survey, we identified six empirically distinct subgroups defined by intersecting demographic and ...
Sora Lee, Woojin Kang
wiley +1 more source