Results 121 to 130 of about 81,262 (253)

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

Tractable Probabilistic Description Logic Programs

, 2007
We propose tractable probabilistic description logic programs (or probabilistic dl-programs) for the Semantic Web, which combine tractable description logics, normal programs under the answer set semantics, and probabilities. In particular, we introduce the total well-founded semanticsfor probabilistic dl-programs.
openaire   +2 more sources

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

Advanced Intelligent Systems, EarlyView.
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis, Ioannis Tompris, Pantelis Fraidakis, Iosif‐Angelos Fyrigos, Antonio Rubio, Georgios Ch. Sirakoulis   +5 more
wiley   +1 more source

Mixtures of probabilistic logic programs

International Journal of Approximate Reasoning
Structure learning (SL) is a fundamental task in Statistical Relational Artificial Intelligence, where the goal is to learn a program from data. Among the possible target languages, there is Probabilistic Logic Programming. Mixture models have recently gained attention thanks to their effectiveness in modeling complex distributions by combining simpler
openaire   +2 more sources

Food insecurity and unemployment among immigrants in the United States

American Journal of Agricultural Economics, EarlyView.
Abstract Immigrants can be more vulnerable to economic downturns and, during periods of economic hardship, more likely to experience food insecurity compared to natives. This study examines the differential effect of the unemployment rate on the probability of being food insecure among diverse groups of immigrant households relative to natives in the ...
Siwen Zhou, Joshua Berning, Alessandro Bonanno, Jude Bayham   +3 more
wiley   +1 more source

Hidden in the Labour Market: An Intersectional Latent Class Analysis of Discouraged Workers in Australia

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

Engineering Binary Metal Oxide Nano‐Oscillators for Deterministic and Probabilistic Computing: From Material Physics to Emerging Paradigms

Advanced Physics Research, EarlyView.
This study demonstrates a versatile hardware platform using nano‐oscillators based on binary oxides for deterministic and probabilistic computing. By tailoring material physics, NbOx enables energy‐efficient synchronization for pattern recognition, while enhanced stochasticity in engineered SiOx provides robust entropy for p‐bits to solve complex ...
Jihyun Kim, Jaehyun Moon, Seung‐Youl Kang, Jiyong Woo   +3 more
wiley   +1 more source

An Information-Theoretic Model of Abduction for Detecting Hallucinations in Explanations. [PDF]

Entropy (Basel)
Galitsky B.
europepmc   +1 more source

Hybrid Probabilistic Logic Programming

, 2016
An important issue in artificial intelligence and many other fields is modeling the domain of interest. Given a model it is possible to perform inference to answer questions of interest, or make decisions to maximize a given utility. An active research topic concerns declarative languages for modeling and learning a wide range of applications.
openaire   +1 more source