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ICAART 2027: International Conference on Agents and Artificial Intelligence

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ICAART
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Día de Entrega:
2026-09-15
Fecha de Notificación:
2026-11-13
Fecha de conferencia:
2027-02-23
Ubicación:
Valletta, Malta
Ediciones:
ICORE: B   QUALIS: B4   Vistas: 54895   Seguidores: 32   Asistentes: 3

Índice Conference Partner (CP-I)

65,1 / 100
Puesto n.º 433 de 5.687 congresos · 8% superior

N.º 31 de 741 en Inteligencia artificial y aprendizaje automático

Reconocimiento académico (35%)
72
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
81
Atención de la comunidad (10%)
55
Integridad del registro público (15%)
55

Datos utilizados: Categorías: ICORE B, QUALIS B4 · Ediciones documentadas: 19 · Investigadores que lo siguen aquí: 32 · Investigadores que abrieron esta página en los últimos 24 meses: 16

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Confianza 80 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-29

Solicitud de Artículos

ICAART 2027 (International Conference on Agents and Artificial Intelligence) is a ICORE B / QUALIS B4 conference held in Valletta, Malta on 2027-02-23. The paper submission deadline is 2026-09-15. Acceptance notifications are sent on 2026-11-13.

SCOPE The purpose of the International Conference on Agents and Artificial Intelligence is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence, covering both applications and current (advanced) research work. The scientific goal is to stimulate them in developing new ideas for further progress. On one side it focuses on Agents, Multi-Agent Systems and Software Platforms, and also Distributed Problem Solving. On the other side it focuses on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception. Applications are in both areas. They are using Natural Language Processing (NLP), Large Language Models (LLMs), Legal Technologies and Quantum Computing. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of ICAART with an ISBN. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions. Special sessions, dedicated to case-studies and commercial presentations, as well as tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the conference website. CONFERENCE AREAS Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. AGENTS 2. ARTIFICIAL INTELLIGENCE AREA 1: AGENTS Agent Communication and Languages Agent Models and Architectures Agent Oriented Software Engineering Cognitive Robotics Conversational Agents Distributed Problem Solving Emotional Intelligence Fairness and Reliability Group Decision Making (with cooperation, coordination, negotiation, interaction protocols) Mobile Agents Multi-Agent Systems Programming Environments and Agent Platforms Robot and Multi-Robot Systems Self Organizing Systems Simulation Swarm Intelligence and Collective Intelligence Task Planning and Execution AREA 2: ARTIFICIAL INTELLIGENCE AI and Creativity Big Data Case-Based Reasoning Cognitive Systems Constraint Satisfaction Data Mining Data Science Deep Learning Evolutionary Computing Explainable Artificial Intelligence Fuzzy Systems Hybrid Intelligent Systems Industrial and Societal Applications of AI Intelligence and Cybersecurity Intelligent User Interfaces Interpretable Artificial Intelligence Knowledge Representation and Reasoning Knowledge-Based Systems Large Language Models (LLMs) Machine Learning Model-Based Reasoning Natural Language Processing Neural Networks Ontologies Planning and Scheduling Privacy, Safety, Security, and Ethical Issues Quantum Artificial Intelligence Social Network Analysis Soft Computing Transparency Uncertainty in AI Vision and Perception Visualization
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