The Conference of the Spanish Association for Artificial Intelligence (CAEPIA) is a biennial forum open to researchers worldwide to present and discuss their latest scientific and technological advances in Artificial Intelligence (AI). Authors are invited to submit original unpublished works describing relevant research related to Artificial Intelligence from all perspectives: formal, methodological, technical, or applied.

Contact: caepia2026@easychair.org

CAEPIA seeks to promote quality by giving special visibility to works highlighted by reviewers. For this purpose, awards will be granted in all events we organize, allowing both emerging and established researchers to showcase their efforts in producing impactful research. Awards will be granted based purely on scientific criteria and will consist of an accreditation diploma along with a financial reward, which may vary depending on the event.

Within CAEPIA, the Doctoral Consortium is organized as a forum for PhD students to interact with other researchers through the discussion of their thesis projects.

With the aim of highlighting the academic and practical importance of AI in university studies, the Bachelor’s Final Thesis and Master’s Final Thesis competition based on AI techniques is announced.

Additionally, this edition of CAEPIA will include outstanding works (Key Papers) already published in prestigious journals or forums.

At CAEPIA’26, several federated conferences and workshops will be held, each with its own program committee and individual call for papers.

Types of contributions

All contributions must be submitted through EasyChair.

  • Submission of papers for publication in Lecture Notes in Artificial Intelligence (LNAI): Papers submitted for publication in a volume of Springer’s Lecture Notes series must be written in English and will undergo a double-blind review process. Contributions for LNAI may have a maximum length of 12 pages and must follow the format specified in the LNCS guidelines (available in Word and LaTeX2e). The submitted paper must describe original research work with solid, well-founded, and demonstrable results in any topic of the conference. Publication in LNCS proceedings will be included in the Lecture Notes in Artificial Intelligence series (LNCS/LNAI Home Page). Registration of one of the authors and submission of the consent form for publication in LNCS will be required. When preparing and submitting your proposal, please take into account the following documents of interest:

    Author guidelinesLNCS Consent to Publish Form

  • Submission of papers for publication in CAEPIA Proceedings: In this case, submitted and accepted papers will be published in the CAEPIA proceedings or in the proceedings of the corresponding federated conference. These papers may have a maximum length of 12 pages and must follow the LNCS guidelines (available in Word and LaTeX2e). The submitted paper must describe original research with solid, well-founded, and demonstrable results in any topic of the corresponding conference. Registration of one author is required.

  • Outstanding already published works (Key Papers): Recent papers published in prestigious journals or forums between 2024 and 2026. The goal is to disseminate them among a broad audience of the AI community, providing members of the community the opportunity to learn about works they may not be familiar with and fostering interdisciplinarity. Papers must be submitted in LNCS format (available in Word and LaTeX2e) with a maximum length of 4 pages, clearly referencing the previously published work. Registration of one author is required.

  • Doctoral Consortium projects: Submission of preliminary doctoral work is encouraged. These works will be presented in special sessions during the conference. The goal is to promote fruitful discussion between the candidate and the audience. These works may have a maximum length of 12 pages and must follow the LNCS guidelines (available in Word and LaTeX2e). Submission must be made through the CAEPIA’26 EasyChair page (Doctoral Consortium track). More information at Doctoral Consortium.

  • Submission of documents for the Frances Allen Award: This award aims to highlight the outstanding work of female students, professors, and researchers to serve as inspiration for future female students in Computer Science studies. Each candidate must submit a document of up to 6 pages formatted according to the LNCS guidelines (available in Word and LaTeX2e). More information at Frances Allen Award.

  • AI-based Bachelor’s and Master’s thesis competing for the CAEPIA award, according to the competition rules. The documentation to be submitted shall consist of a document of no more than 5 pages in LNCS-Springer Computer Science Proceedings format. More information at Bachelor’s and Master’s Award.

Accepted papers will be assigned a 15-minute time slot at the conference, including oral presentation and questions.

Topics of interest

Machine Learning
  • Clustering
  • Classification
  • Feature selection
  • Bayesian networks and Markov networks
  • Learning from different data types
  • Machine learning in non-standard situations
  • Data reduction and/or transformation
  • Learning from large-scale data (big data)
  • Machine learning applications
Search and Optimization
  • Hybrid algorithms
  • Parallel algorithms
  • Search and optimization applications
  • Metaheuristics
  • Bio-inspired methods
  • Mathematical programming
  • Optimization, search and learning
  • Local and global optimization
  • Search and optimization theory
Creativity and Artificial Intelligence
  • AI-based artistic creations
  • AI-based music generation
  • AI and news/literature generation
  • Creative Artificial Intelligence
Ontologies and Knowledge Graphs
  • Linked open data
  • Knowledge graphs
  • Upper-level and domain ontologies
  • Ontology-based information systems
  • Ontology alignment
  • Ontologies and experimental data
Education and Artificial Intelligence
  • Educational data mining
  • Machine learning in computer-assisted education systems
  • Collaborative learning environments
  • Virtual pedagogical agents and virtual companions
  • Intelligent tutoring systems and simulation
  • Intelligent tutoring systems and gamification
  • Student modelling
  • Standards, authoring tools and development methodologies
  • Technologies for specific learning domains
Foundations, Models and Applications of AI
  • Foundations of Artificial Intelligence
  • AI-based models
  • AI-based applications
  • Cognitive aspects of Artificial Intelligence
  • Emerging topics in Artificial Intelligence
  • Artificial Intelligence and Philosophy
Uncertainty in AI
  • Approximate reasoning
  • Bayesian networks
  • Decision/Utility theory
  • Exact and approximate probabilistic inference
  • Modelling, inference, learning and decision making under uncertainty
  • Preference elicitation
  • Probabilistic graphical models
Ambient Intelligence and Smart Environments
  • Intelligent sensor data fusion and collaboration in multisensor systems and networks
  • Use of mobile, wireless, visual and multimodal sensor networks in intelligent systems
  • Mobile/ubiquitous intelligence
  • Self-adaptive AmI systems
  • Context awareness
  • Cognitive and emotional awareness
  • Behaviour modelling
  • Intention recognition
  • Modelling, representation and reconstruction
  • Applications in healthcare, smart homes and smart buildings
  • Environment modelling (homes, hospitals, transport, roads, offices)
Explainable and Responsible Artificial Intelligence
  • Transparency in AI models
  • Post-hoc explainability techniques for AI models
  • Ethics in data-driven learning
  • Traceability of AI models
  • Reliability of AI model learning
  • Detection and treatment of bias in data and AI models
  • Methodologies for ethical and responsible use of AI
  • Data security and privacy in AI models
  • Neuro-symbolic reasoning for explaining data-based knowledge
  • Evaluation of AI model interpretability
  • Generation of counterexamples for model inspection
  • Explainability and data fusion
Fuzzy Logic
  • Foundations of fuzzy logic
  • Uncertainty modelling
  • Knowledge acquisition and representation
  • Approximate reasoning
  • Decision making
  • Information aggregation models and techniques
  • Fuzzy databases
  • Fuzzy logic and data mining
  • Information retrieval
  • Intelligent web systems
  • Computing with words
  • Systems modelling
  • Fuzzy control
  • Hardware for fuzzy logic
  • Applications
Natural Language Processing
  • Syntactic analysis and grammatical inference
  • Text classification and topic detection
  • Automatic summarization
  • Word sense disambiguation
  • Discourse, dialogue and pragmatics
  • Text mining
  • Natural language modelling
  • Natural language processing
  • Multilingual language processing
  • Speech recognition
  • Question answering
  • Machine translation
Knowledge Representation, Reasoning and Logic
  • Action, change and causality
  • Computational argumentation
  • Automated reasoning
  • Knowledge representation
  • Computational logic
  • Description logic and ontologies
  • Preferences and beliefs
  • Logic programming
  • Case-based reasoning
  • Model-based reasoning
  • Qualitative reasoning
  • Spatial and temporal reasoning
  • Diagnosis and abductive reasoning
  • Non-monotonic reasoning
  • Knowledge representation
Constraints, Search and Planning
  • AI in planning games
  • Constraint optimization
  • Constraint satisfaction
  • Dynamic programming
  • Heuristic search
  • Hierarchical task networks
  • Markov decision processes
  • Partially observable Markov decision processes (POMDPs)
  • Real-time planning
  • Satisfiability
  • Scheduling
  • Theoretical foundations of planning
Multiagent Systems
  • Adaptation and self-organization
  • Agent-based architectures and programming
  • Agent-based simulation and emergent behaviour
  • Agent communication languages
  • Agreement technologies (coordination, negotiation, argumentation, rules, trust)
  • Methodologies and infrastructures (platforms, tools, environments)
  • Social, organizational and institutional approaches
  • Agent-based models
Computer Vision & Robotics
  • Image/video analysis
  • Biomedical image analysis
  • Activity/behaviour recognition
  • Feature extraction, clustering and segmentation
  • Perception systems
  • Biometrics
  • Robot control
  • Mobile robotics
  • Micro robots and micro-manipulation
  • Localization, navigation and mapping
Intelligent Web and Information Retrieval
  • Digital libraries
  • Information extraction
  • Information integration
  • Information retrieval
  • Question answering systems
  • Recommender systems
  • Semantic web
  • Web mining
  • Web 2.0
  • Digital libraries
  • Information extraction
  • Information integration
  • Information retrieval
  • Question answering systems
  • Recommender systems
  • Semantic web
  • Web mining
  • Web 2.0

Important Dates

🗓️ March

  • Mar 15 — Workshops (Proposal submission deadline)

🗓️ April

  • Apr 30 — LNAI Papers

    Notification: June 1
    Final version: June 15

🗓️ May

  • May 15 — Key Papers

    Notification: June 17
    Final version: July 3

  • May 15 — CAEPIA Proceedings Papers

    Notification: June 17
    Final version: July 3

  • May 15 — Doctoral Consortium

    Notification: June 17
    Final version: July 3

  • May 15 — TFG and TFM Competition

    Notification: June 17
    Final version: July 3

  • May 15 — Frances Allen Award

    Notification: June 17
    Final version: July 3

Contribution Submission

Submission of papers to CAEPIA’26 requires prior registration in the EasyChair portal. CAEPIA’26 submissions will be reviewed by members of the Program Committee, supervised by an area coordinator.

Submission of contributions to EasyChair.

Proceedings

Accepted papers will be published in several CAEPIA proceedings volumes delivered to all attendees in electronic format. Papers accepted for LNAI will be accessible in the corresponding Springer volume.

Call for Participation (CfP)

Participate in CAEPIA’26.

Download the CFP