Results 41 to 50 of about 354,024 (279)

Logical consequences. Theory and applications: An introduction. [PDF]

open access: yes, 2020
2nd edition. The theory of logical consequence is central in modern logic and its applications. However, it is mostly dispersed in an abundance of often difficultly accessible papers, and rarely treated with applications in mind.
Augusto, Luis M.
core  

A Logic for Multi-Agent Conformant Planning Over Transition Systems

open access: yesIEEE Access, 2020
Reasoning about actions and information is one of the most active areas of research in artificial intelligence. In this article, we study the reasoning about actions and information in multi-agent conformant planning, which is an essential branch of ...
Peipei Wu, Yanjun Li
doaj   +1 more source

Environmental sustainability technologies in biodiversity, energy, transportation and water management using artificial intelligence: A systematic review

open access: yesSustainable Futures, 2022
Artificial Intelligence (AI) has become an important area to tackle most environmental sustainability issues such as biodiversity, energy, transportation and water management.
Emmanuel Kwame Nti   +4 more
doaj   +1 more source

Complexity of ITL model checking: some well-behaved fragments of the interval logic HS

open access: yes, 2015
Model checking has been successfully used in many computer science fields, including artificial intelligence, theoretical computer science, and databases.
Molinari, A., Montanari, A., Peron, A.
core   +1 more source

Real Islamic Logic [PDF]

open access: yes, 2011
Four options for assigning a meaning to Islamic Logic are surveyed including a new proposal for an option named "Real Islamic Logic" (RIL). That approach to Islamic Logic should serve modern Islamic objectives in a way comparable to the functionality of ...
Bergstra, Jan Aldert
core   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi   +4 more
wiley   +1 more source

Packaging of Macroscopic Material Payloads: Needs, Challenges, Concepts, and Future Directions

open access: yesAdvanced Engineering Materials, EarlyView.
This review introduces a unified framework that decomposes any macroscopic packaging system into the payload, packaging material, and packaging strategy and combines them into a conceptual packaging equation: packaging strategy = payload + packaging material.
Venkata S. R. Jampani, Manos Anyfantakis
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

ARTIFICIAL INTELLIGENCE: ITS CONCEPT AND CHARACTERISTICS

open access: yesПравовое государство: теория и практика
Despite the wide application of artificial intelligence technology in many areas of activity, the use of the term “artificial intelligence” in regulatory acts at various levels, there is still no definition of artificial intelligence as an object of
ARKHIEREEV Nikolay Viktorovich
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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