Results 71 to 80 of about 12,747,172 (293)

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Robust explanations for human-neural multi-agent systems with formal verification

, 2023
The quality of explanations in human-agent interactions is fundamental to the development of trustworthy AI systems. In this paper we study the problem of generating robust contrastive explanations for human-neural multi-agent systems and introduce two ...
Lomuscio, Alessio, Leofante, Francesco
core   +1 more source

An intelligent multi-layer, multi-agent MMG framework with amelioration of energy efficiency and future investment outlook, under the deregulated day-ahead and real-time market regime

Frontiers in Energy Research
This paper developed an intelligent multi-agent system (MAS) with a multi-layer framework for multi-microgrids (MMGs) using robust and modern communication patterns for deployed agents to achieve distributed tasks.
Kamran Mujahid, Abdullah Altamimi, Abdullah Altamimi, Syed Ali Abbas Kazmi, Zafar A. Khan, Zafar A. Khan, Bader Alharbi, Hamoud Alafnan, Halemah Alshehry, Aneeque A. Mir   +9 more
doaj   +1 more source

Trust in multi-agent systems [PDF]

The Knowledge Engineering Review, 2004
Trust is a fundamental concern in large-scale open distributed systems. It lies at the core of all interactions between the entities that have to operate in such uncertain and constantly changing environments. Given this complexity, these components, and the ensuing system, are increasingly being conceptualised, designed, and built using agent-based ...
Sarvapali D. Ramchurn, Trung Dong Huynh, Nicholas R. Jennings   +2 more
openaire   +2 more sources

Translating whole‐genome doubling into precision medicine in cancer

Molecular Oncology, EarlyView.
Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley   +1 more source

A Multi-Agent Recommender System

, 2012
The large amount of pages in Websites is a problem for users who waste time looking for the information they really want. Knowledge about users’ previous visits may provide patterns that allow the customization of the Website. This concept is known as Adaptive Website: a Website that adapts itself for the purpose of improving the user’s experience ...
António Jorge Morais, Eugénio C. Oliveira, Alípio Mário Jorge   +2 more
openaire   +2 more sources

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Distributed adaptive iterative learning control for 2D multi agent systems

Electronics Letters
This letter addresses the output consensus problem for a class of two‐dimensional (2D) multi agent systems (MASs) described by Fornasini–Marchesini model.
Qingyuan Xu, Qingquan Mai, Boxian Wang, Kai Wan, Yunshan Wei   +4 more
doaj   +1 more source

Avoiding collaborative paradox in multi‐agent reinforcement learning

ETRI Journal, 2021
The collaboration productively interacting between multi‐agents has become an emerging issue in real‐world applications. In reinforcement learning, multi‐agent environments present challenges beyond tractable issues in single‐agent settings.
Hyunseok Kim, Seonghyun Kim, Donghun Lee, Ingook Jang   +3 more
doaj   +1 more source

Formalisms for multi-agent systems [PDF]

The Knowledge Engineering Review, 1997
As computer scientists, our goals are motivated by the desire to improve computer systems in some way: making them easier to design and implement, more robust and less prone to error, easier to use, faster, cheaper, and so on. In the field of multi-agent systems, our goal is to build systems capable of flexible autonomous decision making, with ...
Mark d'Inverno, Michael Fisher 0001, Alessio Lomuscio, Michael Luck, Maarten de Rijke, Mark Ryan 0001, Michael J. Wooldridge   +6 more
openaire   +3 more sources