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AGCS 2026: International Conference on Agentic, Generative, and Cognitive AI

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AGCS
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투고 마감일:
2026-07-01
통보일:
2026-09-10
개최일:
2026-10-27
개최지:
Paris, France
조회: 853   팔로우: 0   참가: 0

회반 지수 (CP-I)

44.2 / 100
전체 5,651개 중 3,048위 · 상위 54%
근거가 제한적입니다: 이 학회는 CCF / ICORE / QUALIS 어디에도 수록되어 있지 않고 게재율 데이터도 없어, 점수의 대부분이 중립 기준값으로 되돌아갑니다.
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
커뮤니티 관심도 (10%)
15
공개 자료 충실도 (15%)
35

사용한 입력: 지난 24개월 동안 이 페이지를 연 연구자: 6명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 25% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-05

논문 모집

AGCS 2026 (International Conference on Agentic, Generative, and Cognitive AI) is an academic conference held in Paris, France on 2026-10-27. The paper submission deadline is 2026-07-01. Acceptance notifications are sent on 2026-09-10.

The International Conference on Agentic, Generative, and Cognitive AI Systems (AGCS 2026)(AGCS 2026) invites the submission of high-quality, original research papers in all areas of Agentic, Generative, and Cognitive AI. We welcome both theoretical and applied work that advances the state of the art. Conference Tracks Submissions are invited to the following five main tracks: Track 1: Agentic AI Systems This track focuses on the design, implementation, and evaluation of autonomous agents and multi-agent systems. Topics of interest include autonomous reasoning, planning, and decision-making; tool-using and function-calling agents; memory and context management in agents; human-agent collaboration and interaction; and agent safety, alignment, and robustness. Track 2: Generative AI and Foundation Models This track covers the theory, development, and application of generative models and foundation models. Topics of interest include large language models (LLMs) and multimodal models; diffusion models, GANs, and other generative architectures; prompt engineering and in-context learning; retrieval-augmented generation (RAG); and creative AI and artistic applications. Track 2: Generative AI and Foundation Models This track covers the theory, development, and application of generative models and foundation models. Topics of interest include large language models (LLMs) and multimodal models; diffusion models, GANs, and other generative architectures; prompt engineering and in-context learning; retrieval-augmented generation (RAG); and creative AI and artistic applications. Track 3: Cognitive AI and Neural-Symbolic Systems This track explores AI systems inspired by human cognition and the integration of neural and symbolic approaches. Topics include cognitive architectures and frameworks; neural- symbolic reasoning; brain-inspired computing and neuromorphic systems; common sense reasoning and world models; and explainable and interpretable AI. Track 4: AI Ethics, Safety, and Alignment This track is dedicated to the responsible development and deployment of AI. Topics of interest include AI safety and robustness; value alignment and goal specification; fairness, accountability, and transparency; privacy-preserving AI; and AI governance and policy. Track 5: AI Applications and Impact This track showcases the real-world impact of AI across various domains. Topics include AI for Healthcare and Life Sciences; AI for Climate and Sustainability; AI for Education; AI for Social Good; and AI in Finance, Manufacturing, and other industries. Submission Guidelines Papers must be formatted according to the specified conference template (to be provided). Submissions can be either full papers (up to 8 pages) or short papers (up to 4 pages), excluding references. The review process is double-blind, and submissions must be anonymized with no author names or affiliations. Submissions must be original work and not be under review at any other conference or journal. Authors may submit supplementary materials, such as technical appendices, code, and data, though reviewers are not required to review this material. All submissions must be made through the official conference submission system (link to be provided).
최종 수정: Dou Sun ()

관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Cognitive Processing1.4Springer1612-4782
Cognitive Systems Research2.4Elsevier1389-0417
AArtificial Intelligence4.6Elsevier0004-3702
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655

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