Results 11 to 20 of about 1,221 (189)
On labeled birooted tree languages: Algebras, automata and logic [PDF]
International audienceWith an aim to developing expressive language theoretical tools applicable to inverse semigroup languages, that is, subsets of inverse semigroups, this paper explores the language theory of finite labeled birooted trees: Munn's ...
David Janin
semanticscholar +2 more sources
Single-Use Automata and Transducers for Infinite Alphabets [PDF]
Our starting point are register automata for data words, in the style of Kaminski and Francez. We study the effects of the single-use restriction, which says that a register is emptied immediately after being used.
Bojańczyk, Mikołaj, Stefański, Rafał
core +1 more source
An Introduction to Predictive Processing Models of Perception and Decision‐Making
Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley +1 more source
Multi-island finite automata and their even computation [PDF]
summary:This paper discusses $n$-island finite automata whose transition graphs can be expressed as $n$-member sequences of islands $i_1, i_2, \dots , i_n$, where there is a bridge leaving $i_j$ and entering $i_{j+1}$ for each $1 \leq j \leq n - 1$.
Meduna, Alexander +2 more
core +1 more source
RESEARCH ON NUMBER THEORY AND SMARANDACHE NOTIONS [PDF]
This Book is devoted to the proceedings of the Sixth International Conference on Number Theory and Smarandache Notions held in Tianshui during April 24-25, 2010.
Wenpeng, Zhang
core +1 more source
Groups with context-free co-word problem [PDF]
The class of co-context-free groups is studied. A co-context-free group is defined as one whose coword problem (the complement of its word problem) is context-free.
Derek F. Holt +7 more
core +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Automatic presentations for semigroups
Special Issue: 2nd International Conference on Language and Automata Theory and Applications (LATA 2008)This paper applies the concept of FA-presentable structures to semigroups.
Cain, Alan James +3 more
core +1 more source
ABSTRACT Introduction Residential environments have been linked to brain structure, particularly in children, older adults, and clinical populations. However, little is known about how different dimensions of the housing environment relate to brain white matter microstructure in healthy adults, or whether specific environmental factors show stronger ...
Keisuke Kokubun +3 more
wiley +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source

