Información de la conferencia

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

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Día de Entrega:
2026-07-01
Fecha de Notificación:
2026-09-10
Fecha de conferencia:
2026-10-27
Ubicación:
Paris, France
Vistas: 854   Seguidores: 0   Asistentes: 0

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44,2 / 100
Puesto n.º 3.048 de 5.651 congresos · 54% superior
Evidencia limitada: este congreso no figura en CCF / ICORE / QUALIS y no consta su tasa de aceptación, así que la mayor parte de la puntuación recae en la línea base neutra.
Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
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15
Integridad del registro público (15%)
35

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Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
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Solicitud de Artículos

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).
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