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KI-Agent

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Sie sind ein Agent.
Agentische KI revolutioniert das Produktdesign, indem sie durch iterative Prozesse autonome, zielorientierte Entscheidungsfindung ermöglicht.

Agentische KI bezeichnet KI-Systeme, die mehrstufige Ziele autonom verfolgen, indem sie Wahrnehmungs-, Planungs-, Werkzeugnutzungs- und Selbstkorrekturschleifen iterativ durchlaufen, ohne dass an jedem Entscheidungspunkt ein menschliches Eingreifen erforderlich ist – eine strukturelle Abkehr von Modellen mit einfacher, sofortiger Reaktion hin zu Architekturen, die komplexe Ziele in Teilaufgaben zerlegen, Aktionen gegen externe Umgebungen ausführen, Ergebnisse auswerten und Pläne entsprechend überarbeiten.

Die kanonische Agentenarchitektur verbindet einen großen Sprachmodell-Schlußfolgerungskern mit einer Werkzeugregistrierung - Webbrowser, Code-Interpreter, API-Clients, Dateisysteme, Datenbankschnittstellen - und einer Speicherarchitektur, die kurzfristigen Arbeitskontext, episodische Aufzeichnungen vergangener Handlungen und abgerufenes langfristiges Wissen umfaßt, wodurch der Agent in der Lage ist, eine kohärente Zielverfolgung über ausgedehnte Interaktionshorizonte aufrechtzuerhalten, die jedes einzelne Kontextfenster übersteigen. Multi-Agenten-Konfigurationen gehen noch weiter, indem sie Teilaufgaben auf spezialisierte Agenten verteilen, die von einem Orchestrator koordiniert werden, und die Inter-Agenten Kommunikation Protokolle, Ergebnisaggregation und Konfliktlösung als zusätzliche architektonische Aspekte.

The publications and patents indexed below address planning algorithms, tool use architectures, memory systems, multi-agent coordination protocols, agent evaluation benchmarks, and safety constraint Methodologien.

Dies ist unsere neueste Auswahl an weltweiten Veröffentlichungen und Patenten in englischer Sprache zum Thema Agenten-KI, aus vielen wissenschaftlichen Online-Journalen, klassifiziert und fokussiert auf Agenten-KI, KI-Agenten, autonome KI-Agenten, Multi-Agenten-Systeme, KI-Agenten-Orchestrierung, Agenten-Planungsschleife, ReAct-Agent, Gedankenkettenplanung, werkzeugbenutzende KI-Agenten, funktionsaufrufende KI, KI-Agenten-Gedächtnis, Langzeit-Agenten-Gedächtnis, episodisches Agenten-Gedächtnis, Agenten-Arbeitsspeicher, KI-Agenten-Aufgabenzerlegung, hierarchische Agenten-Planung, KI-Agenten-Selbstkorrektur, KI-Agenten-Reflexion, KI-Agenten-Bewertung, Agenten-Belohnungsgestaltung, KI-Agenten-Sandboxing, Agenten-Sicherheitsleitplanken, Multi-Agenten-Koordination, Agenten-Kommunikationsprotokoll, KI-Agenten-Tool-Register, Code-ausführender Agent, Web-Browsing-Agent, Retrieval-augmentierter Agent, Agenten-Benchmark-Bewertung und Human-in-the-Loop-Agent.

Ai agent for core network

Patent published on the 2026-10-15 in WO under Ref WO2026213740 by NOKIA TECH OY [FI] (Gajic Borislava [de], Sun Shu Qiang [cn], Abdelkader Abdelrahman [de], Khatibi Sina [de], Schirilla Achill Andreas [de])

Abstract: Example embodiments of the present disclosure are directed to artificial intelligence (AI) agent for core network. A first network entity receives, from a second network entity or an apparatus, a request originated from the apparatus for an agentic service. The first, second network entities and the apparatus implement an AI agent. The first network entity determines a plan for the agentic service at least based on capability information of at least one device. The plan is associated with one or[...]


Our summary: An AI agent for core networks processes requests for agentic services. It determines a service plan based on device capabilities and executes associated tasks. The execution status is communicated back to the requesting entity.

AI agent, core network, agentic service, execution status

Patent

Ai agent and generative ai-based b2b solution comparison, recommendation, and deployment automation system and method

Patent published on the 2026-10-08 in WO under Ref WO2026212264 by IMPACT FLOW INC [KR] (Ryu Hyokwon [kr])

Abstract: Disclosed is a B2B solution deployment automation apparatus and a method that use an AI agent and a generative AI model to generate user requirement-based B2B solution recommendations and comparison reports, and furthermore, automatically orchestrate a deployment process such as integration configuration, API connection, and data migration, and provide operational optimization feedback through calculation of performance, cost, and security indices.[...]


Our summary: The system automates B2B solution deployment using an AI agent and generative AI model. It generates user requirement-based recommendations and comparison reports. The method also orchestrates integration, API connections, and data migration while providing optimization feedback.

B2B solutions, AI agent, generative AI, deployment automation

Patent

Secured distributed network context management for ai agent

Patent published on the 2026-10-08 in WO under Ref WO2026209409 by NOKIA TECH OY [FI] (Aggarwal Chaitanya [de], Gajic Borislava [de], Tang Haitao [fi], Mishra Rajendrakumar Premnarayan [in])

Abstract: Example embodiments of the present disclosure are directed to secured distributed network context management for an artificial intelligence (AI) agent. A method comprises verifying, based on a context distribution policy associated with a second apparatus comprised in the at least one apparatus, that a network context is authorized to be provided to the second apparatus, wherein the context distribution policy indicates identifier information of the second apparatus and an indication of a networ[...]


Our summary: The method verifies network context authorization based on a context distribution policy. It identifies the second apparatus and the allowed network context. The authorized context is transmitted to the second apparatus for a generative AI agent.

secured distributed network, context management, artificial intelligence, policy verification

Patent

Collaborative and cooperative processing method for tasks in wireless network system, wireless network system, electronic device and computer program

Patent published on the 2026-10-08 in WO under Ref WO2026208347 by ZTE CORP [CN] (Yang Li [cn], Sun Wenwen [cn], Xie Feng [cn])

Abstract: Provided in the embodiments of the present disclosure are a collaborative and cooperative processing method for tasks in a wireless network system, a wireless network system, an electronic device and a computer program product, wherein the method is applied to a network element node, a communication-computing service layer and an AI agent (AA) task layer being deployed on the network element node, and the AA task layer comprising one or more AA functional entities. The method comprises: the AA t[...]


Our summary: The method enables collaborative processing for tasks in a wireless network system. It involves interaction between an AI agent task layer and a communication-computing service layer. This approach addresses efficient cooperation between different network element nodes across various vendors.

collaborative processing, wireless network, AI agents, task cooperation

Patent

System and method for accelerating operations of an ai agent on a digital interface

Patent published on the 2026-10-08 in US under Ref US20260311007 by EVINCED INC [US] (Synett Yossi [il], Moav Gal [il], Thadani Navin R [us], Or Evyatar Yaakov [il], Hakman Tair [il], Orgil Kfir Yehuda [il], Bracha Ben [il])

Abstract: [0000] The method and system for accelerating operations of an AI agent is presented. The method includes receiving, by a first AI agent, a task to be performed on at least one digital interface based on a natural language request from a client device; extracting, by the first AI agent, at least one learned skill to be used by the first AI agent for completing the task based on accessibility semantics of at least one component of the at least one digital interface, wherein learned skills are cap[...]


Our summary: The system accelerates AI agent operations on digital interfaces. It involves receiving tasks from client devices and extracting learned skills based on accessibility semantics. The AI agent completes tasks using these skills effectively.

AI agent, digital interface, natural language processing, learned skills

Patent

Novel edge-based multi-agent system for real-time data validation and quality grading

Patent published on the 2026-10-08 in US under Ref US20260312968 by PARA RAGHU KUL THILAK [CA] (Para Raghu Kul Thilak [ca])

Abstract: [0000] present invention relates to an edge-based multi-agent data validation system that executes specialized checks (schema, domain, semantic, anomaly) on incoming data streams in near real time. A coordinator module aggregates validation outputs and assigns a quality tier label (bronze, silver, or gold) to each data unit. This immediate classification prevents contaminated data from infiltrating downstream pipelines, thereby reducing bandwidth usage and storage overhead. Agents autonomously a[...]


Our summary: The invention presents an edge-based multi-agent system for real-time data validation. It performs specialized checks on incoming data streams and assigns quality tier labels. The system enhances data integrity and reduces resource usage in distributed environments.

multi-agent system, data validation, real-time processing, edge computing

Patent

A Scoping Review

Published on 2026-02-01 by Jonathan Gibson, Praveen Chinniah, Shashank Chapala, Ojasvi Vemuri, Rajesh Botchu @MDPI

Abstract: Objectives: Artificial intelligence (AI) is a transformative development in the field of medicine. In the field of musculoskeletal radiology, agentic AI is a technology that could flourish, but currently, the limited evidence base is fragmented and sparse, and we present a scoping review of it. Methods: Parallel searches were conducted in four databases: PubMed, Embase, Scopus, and Web of Science. Search terms included all agentic AI and autonomous AI agents, as well as radiology. All papers und[...]


Our summary: This scoping review evaluates the potential of agentic AI in musculoskeletal radiology. It identifies eleven relevant studies highlighting improved decision support, workflow optimization, and image analysis. Despite promising findings, the evidence base remains limited and theoretical.

AI in Radiology, Musculoskeletal Imaging, Workflow Optimization, Decision Support

Publication

A Novel Security Index for Assessing Information Systems in Industrial Organizations Using Web Technologies and Fuzzy Logic

Published on 2026-01-29 by Sulieman Khaddour, Fares Abu-Abed, Valery Bogatikov @MDPI

Abstract: Industrial information systems based on web technologies (ISOWT) face escalating security challenges, particularly in critical sectors such as energy. Traditional qualitative security assessments often lack the ability to deliver actionable, real-time insights for managing complex, dynamic threats. This paper proposes a novel security index for evaluating ISOWT in industrial organizations by integrating fuzzy logic, metric-based evaluation, fuzzy Markov chains, and multi-agent systems. The propo[...]


Our summary: This paper introduces a novel security index for evaluating industrial information systems using web technologies and fuzzy logic. It quantifies deviations from an ideal safety center, enabling early risk detection and proactive mitigation. The methodology shows significant improvements in security metrics and outperforms existing assessment techniques.

Security Index, Fuzzy Logic, Information Systems, Web Technologies

Publication

Behandelte Themen: Agenten-KI, autonome Entscheidungsfindung, iterative Prozesse, mehrstufige Ziele, Wahrnehmung, Planung, Verwendung von Werkzeugen, Selbstkorrekturschleifen, großes Sprachmodell, Speicherarchitektur, Multi-Agenten-Konfigurationen, Kommunikationsprotokolle zwischen Agenten, Planungsalgorithmen, Benchmarks zur Agentenbewertung, Methoden für Sicherheitseinschränkungen, Konfliktlösung, Orchestrator ISO/IEC 27001, ISO/IEC 25010, ISO 9241, ISO/IEC 2382 und IEEE 1012.

Glossar der verwendeten Begriffe

Application Programming Interface (API): Ein Satz von Regeln und Protokollen, der es verschiedenen Softwareanwendungen ermöglicht, miteinander zu kommunizieren und zu interagieren und so die Integration von Funktionen und den Datenaustausch zwischen Systemen zu ermöglichen.

Large Language Model (LLM): Ein statistisches Modell, das anhand umfangreicher Textdatensätze trainiert wurde, um menschenähnliche Sprache zu verstehen und zu generieren. Es nutzt Deep-Learning-Techniken, insbesondere neuronale Netze, um Wortfolgen vorherzusagen und verschiedene Aufgaben der natürlichen Sprachverarbeitung durchzuführen.

Historischer Kontext

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(wenn das Datum unbekannt oder nicht relevant ist, z. B. „Strömungsmechanik“, wird eine gerundete Schätzung seines bemerkenswerten Auftretens bereitgestellt)

10. Jahr Jubiläum

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