Large Deviations of the Giant Component in Scale‐Free Inhomogeneous Random Graphs
ABSTRACT We study large deviations of the size of the largest connected component in a general class of inhomogeneous random graphs with iid weights, parametrized so that the degree distribution is regularly varying. We derive a large‐deviation principle with logarithmic speed: the rare event that the largest component contains linearly more vertices ...
Joost Jorritsma, Bert Zwart
wiley +1 more source
Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust
ABSTRACT Organisations increasingly deploy conversational AI agents (CAs) in agentic roles where behavioural variations are inevitable. Prior work often conflates two distinct forms of variation: outcome variation (where success fluctuates) and process variation (where the path to completion varies).
Kambiz Saffarizadeh, Mark Keil
wiley +1 more source
The Challenge of Time-to-Event Analysis for Multiple Events: A Guided Tour From Time-to-First-Event to Recurrent Time-to-Event Analysis. [PDF]
Schmeller S +4 more
europepmc +1 more source
Do robots boost productivity? A quantitative meta‐study
ABSTRACT This meta‐study analyzes the productivity effects of industrial robots. More than 1800 estimates from 85 primary studies are collected. The meta‐analytic evidence suggests that robotization has so far provided, at best, a small boost to productivity. There is strong evidence of publication bias in the positive direction.
Florian Schneider
wiley +1 more source
Rethink context engineering using an attention-based architecture. [PDF]
Yin Y.
europepmc +1 more source
Automation and Augmentation in Theological Perspective
Abstract AI enables forms of automation that threaten unemployment and deskilling, eliminating important opportunities for the development of virtue. The concomitant loss of virtue and meaningful employment makes it a theological problem from the perspective of Catholic social teaching and theological anthropology.
Paul Scherz
wiley +1 more source
Modeling unobserved heterogeneity in multistate event history data using frailty and weighted survival approaches. [PDF]
Tripathy A +2 more
europepmc +1 more source
ABSTRACT Limited knowledge of brocket deer distribution persists due to their elusive behavior and the morphological similarities among species. A population of red brocket deer (genus Mazama) was recently discovered in the Rio Doce State Park (PERD), a protected area within the Brazilian Atlantic Forest; however, species‐level identification was ...
Jeferson L. S. Freitas +4 more
wiley +1 more source
Infinite hidden Markov models can dissect the complexities of learning. [PDF]
Bruijns SA +12 more
europepmc +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source

