Transparency in Agentic AI Collaboration in XAI Trustworthy computer applications in Deep Multi language model DMLM for robotic system

Investigate the applications of generative models, such as Generative Adversarial Networks (GANs), in enabling autonomous decision-making in agentic AI systems.Possible areas of focus: Discuss the potential benefits and challenges of using generative AI in agentic decision-making, and explore real-world applications in fields like robotics or finance.A crisp relation represents the presence or absence of association, interaction or interconnectedness between the elements of two or more sets. The Concept can be generalized to allow for various degrees or strengths of association or interaction between elements. Degrees of association are represented by membership grades in a fuzzy relation in the same way as degrees of set membership are represented in the fuzzy set. In fact , just as the crisp set can be viewed as a restricted case of the more general fuzzy set concept, the crisp relation can be considered to be a restricted case of the fuzzy relation. Throughout this research, the concepts and properties of crisp relations are briefly enumerated in order and demonstrated their generalized application to fuzzy relations that the enumeration method is improved.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-15
DOI
https://doi.org/10.5281/zenodo.15241545
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transparency in Agentic AI Collaboration in XAI Trustworthy computer applications in Deep Multi language model DMLM for robotic system

Zenodo (CERN European Organization for Nuclear Research)
Explainable Artificial Intelligence (XAI)
article

Transparency in Agentic AI Collaboration in XAI Trustworthy computer applications in Deep Multi language model DMLM for robotic system

article en

Abstract

Investigate the applications of generative models, such as Generative Adversarial Networks (GANs), in enabling autonomous decision-making in agentic AI systems.Possible areas of focus: Discuss the potential benefits and challenges of using generative AI in agentic decision-making, and explore real-world applications in fields like robotics or finance.A crisp relation represents the presence or absence of association, interaction or interconnectedness between the elements of two or more sets. The Concept can be generalized to allow for various degrees or strengths of association or interaction between elements. Degrees of association are represented by membership grades in a fuzzy relation in the same way as degrees of set membership are represented in the fuzzy set. In fact , just as the crisp set can be viewed as a restricted case of the more general fuzzy set concept, the crisp relation can be considered to be a restricted case of the fuzzy relation. Throughout this research, the concepts and properties of crisp relations are briefly enumerated in order and demonstrated their generalized application to fuzzy relations that the enumeration method is improved.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 76%
Explainable Artificial Intelligence (XAI)
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Transparency in Agentic AI Collaboration in XAI Trustworthy computer applications in Deep Multi language model DMLM for robotic system · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS