In modern intelligent systems, patterns are pervasive. They shape data representations, guide learning dynamics, structure system behavior, and define the evolution of complex digital ecosystems. Whether embedded in algorithms, architectures, or autonomous systems, patterns remain the invariant across paradigms.

Patterns are not longer artifacts of design; they are the fundamental concepts through which structure and behavior complexity becomes intelligible.

From data streams to knowledge graphs, from cognitive architectures to distributed systems, patterns underlie perception, reasoning, learning, and behavior. Machine learning does not replace patterns, but it amplifies our ability to discover, generalize, and operationalize them at unprecedented scale.

The Conference on Pervasive Patterns and Machine Learning is uniting foundational pattern theory with advances in machine learning and intelligent systems. It combines symbolic and statistical traditions, between design principles and emergent behaviors, and between theory and large-scale practice.

Today, the world has grown noisier, denser, more data-saturated; therefore, the need for patterns has only deepened. Data without pattern is noise; learning without pattern is curve fitting; cognition without pattern is not intelligible. Patterns is the invariant across many paradigms.

Recently, LLM's are being combined with other techniques like convolutional networks, symbolic AI, and oher tehnologies.

Knowledge, cognition, data, and machine learning are layers in which patterns manifest. Knowledge is structured pattern. Cognition is dynamic pattern formation. Data is latent pattern. Machine learning is automated pattern discovery. What has changed is scale, speed, and abstraction across systems diversity and complexity.

We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.

Industrial presentations are not subject to the format and content constraints of regular submissions. We expect short and long presentations that express industrial position and status.

Tutorials on specific related topics and panels on challenging areas are encouraged.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All topics and submission formats are open to both research and industry contributions.

PATTERNS 2027 conference tracks:

Foundations of knowledge and patterned intelligence
Knowledge representation paradigms; Formal ontologies and knowledge graphs; Pattern abstraction in symbolic systems; Cognitive models of structured reasoning; Data-to-knowledge transformation frameworks; Logic-based and probabilistic reasoning; Semantic modeling and pattern hierarchies; Explainable knowledge structures; Hybrid symbolic–statistical systems; Knowledge compression and abstraction; Learning structured representations; Theoretical foundations of pattern generalization

Patterns for combining LLM's with symbolic AI and other techniques
Discovering pattern languages with neuro-symbolic AI; LLMs as Pattern miners; Extracting design knowledge from text corpora; Tacit knowledge and formal patterns: Symbolic structuring with LLMs'; Pattern detection in visual systems: CNNs and pattern languages; Generative AI for evolving and refactoring pattern catalogs; Knowledge graphs as living pattern repositories; Explainable pattern discovery and neuro-symbolic systems; Retrieval-augmented pattern mining across heterogeneous sources; Constraint-based pattern validation with LLM assistance; Cross-domain pattern transfer by multimodal models; Human-in-the-Loop pattern discovery with hybrid AI; Statistical signals and design intent

Cognitive architectures and intelligent systems
Computational models of cognition; Cognitive pattern recognition; Memory architectures in AI systems; Attention mechanisms and cognitive filtering; Concept formation in machine learning; Human–AI cognitive interaction; Knowledge-driven learning; Cognitive bias in data-driven systems; Adaptive reasoning frameworks; Neurosymbolic architectures; Cognitive-inspired learning algorithms; AI systems modeling human reasoning

Patterns computation at work
Pattern logic and algebras; Pattern recognition; Pattern matching; Pattern languages; Patterns languages/models pitfalls; Pattern specification/modeling; Pattern validation; Pattern composition; Pattern reuse; Testing in pattern-based designed systems; Manageability and maintenance of pattern-based designed systems; Architecture, architectural design and the built environment; Discovering images ROI (Regions of Interest); Patterns of discovery; Predicting patterns - behavioral, structure, environment - ; Software patterns; Security patterns; Search patterns; Data mining for patterns; Query patterns; Knowledge patterns; Behavioral patterns; Reasoning patterns; Decision patterns; Communications patterns; Antipatterns and lessons learned

Data-centric intelligence and pattern discovery
Data modeling and representation learning; Pattern mining in large-scale datasets; Data quality and knowledge extraction; Causal discovery from data; Multimodal data fusion; Streaming data pattern analysis; Semantic enrichment of data; Data-driven hypothesis generation; Self-supervised learning; Data compression and structural patterns; Statistical pattern validation; Data governance for intelligent systems

Machine learning and patterns generalization
Deep learning architectures; Foundation models and large-scale learning; Pattern generalization theory; Transfer and meta-learning; Representation learning; Graph neural networks and relational patterns; Generative modeling; Reinforcement learning and decision patterns; Few-shot and zero-shot learning; Continual learning; Uncertainty quantification in ML; Learning under distribution shift

Knowledge-augmented and hybrid AI systems
Integrating symbolic and ML; Retrieval-augmented systems patterns; Knowledge-guided machine learning; Structured prompting and contextual learning; Ontology-enhanced neural models; Pattern reasoning in foundation models; Symbolic constraints in ML pipelines; Neuro-symbolic integration frameworks; Knowledge distillation; Explainable hybrid architectures; Knowledge transfer mechanisms; Pattern-grounded LLM systems; Trustworthy knowledge-aware AI patterns

Patterned decision and intelligent control
Actions and adaptation patterns; Decision patterns in AI systems; Cognitive control models; Adaptive learning systems; Knowledge-driven policy learning; Pattern-based optimization; Reinforcement learning patterns; Model-based vs data-driven control; Autonomous decision systems patterns; Context-aware decision frameworks; Uncertainty-aware control; Learning structured policies; Cognitive feedback loops

Distributed intelligence and Cloud-based learning
Scale and infrastructure patterns; Distributed machine learning; Federated knowledge systems; Data-centric cloud intelligence; Pattern processing in distributed systems; Foundation models in cloud infrastructures; Edge - cloud cognitive systems; Scalable knowledge graphs; Semantic orchestration in distributed environments; Model lifecycle management; Knowledge synchronization across nodes; AI-native cloud architectures; Energy-efficient distributed learning

Pattern recognition in complex systems
Systems complexity and ML; Pattern dynamics in complex networks; Cognitive modeling of complex behavior; Graph-based pattern discovery; Temporal pattern analysis; Anomaly detection in dynamic systems; Causal pattern inference; Knowledge extraction in biological systems; Emergent behavior modeling; Multi-scale pattern analysis; Complex adaptive systems; Pattern evolution modeling; Interdisciplinary pattern science

Human-centered knowledge and intelligent interaction patterns
Interaction and cognition; Cognitive UX in intelligent systems; Human-in-the-loop learning; Knowledge visualization; Explainability in AI; Interactive pattern discovery; Conversational knowledge systems; Cognitive load modeling; Trust and interpretability; Pattern-aware decision support; Social knowledge systems; Collaborative intelligence; AI for knowledge augmentation

System behavior patterns in intelligent and distributed systems
Behavioral Patterns in Distributed Systems; Emergent Patterns in Complex Adaptive Systems; Runtime Pattern Evolution and Drift; Feedback Loops in Learning Systems; Pattern Stability and Instability in Large-Scale Architectures; Self-Organizing System Behaviors; Temporal and Sequential Behavior Modeling; Behavioral Pattern Mining from System Logs; Control Patterns in Autonomous Systems; Cognitive Behavior Patterns in AI Systems; Pattern Formation in Multi-Layer Architectures; Resilience and Failure Patterns in Cloud and AI Systems

Application-oriented patterns
Medical and facial image patterns; Learning patterns of disabled/elderly; Malignancy-oriented pattern; User mobility patterns; Tracking human patterns; Pattern-based localization; Appearance-based gaze tracking patterns; Action/activity recognition patterns; Color and texture patterns; Social networking patterns; Behavioral autonomy patterns; Software reuse patterns; Intrusion attempt patterns; System management patterns; Visualization patterns; System abnormal behavior patterns

Domain-oriented patterns
Forensic patterns; Genomic patterns; Image patterns; Voice patterns; Speech patterns; Hand writing patterns; Text-embedded sentiment patterns; Emotion recognition patterns; Site access patterns; Service orchestration; Keyboard typing patterns; Financial/stock patterns; Shopping patterns; Dietary patterns; Global warming patterns; Job market patterns; Stock movement patterns; Investing patterns

Deadlines:

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).

INSTRUCTION FOR THE AUTHORS

Authors of selected papers will be invited to submit extended versions to one of the IARIA Journals.

Publisher: XPS (Xpert Publishing Services)
Archived: ThinkMind^TM Digital Library (free access)
Prints available at Curran Associates, Inc.
How to submit to appropriate indexes.

Only .pdf or .doc files will be accepted for paper submission. All received submissions will be acknowledged via an automated system.

Contribution types

• regular papers [in the proceedings, digital library]
• short papers (work in progress) [in the proceedings, digital library]
• ideas: two pages [in the proceedings, digital library]
• extended abstracts: two pages [in the proceedings, digital library]
• posters: two pages [in the proceedings, digital library]
• posters: slide only [slide-deck posted on www.iaria.org]
• presentations: slide only [slide-deck posted on www.iaria.org]
• demos: two pages [posted on www.iaria.org]

FORMATS

Only .pdf or .doc files will be accepted for paper submission. All received submissions will be acknowledged via an automated system.

Final author manuscripts will be 8.5" x 11", not exceeding 6 pages; max 4 extra pages allowed at additional cost.

Helpful information for paper formatting for MS Word can be found here.

There is a community provided LaTeX template: the CTAN package iaria (with full IARIA formatting rules, including IARIA citation style, but for providing citation style it is tightly bound to pdflatex+biblatex+biber). In addition, there is also iaria-lite (not bound to pdflatex+biblatex+biber, but compatible with any TeX stack; thus, it cannot provide the IARIA citation formattings, but only the titlepage and content-related IARIA formatting rules). Based on the iaria package, there is a minimal working example as Overleaf template. When you are using the LaTeX templates, please still adhere to the additional editorial rules.

Slides-based contributions can use the corporate/university format and style.

Your paper should also comply with the additional editorial rules.

Once you receive the notification of contribution acceptance, you will be provided by the publisher an online author kit with all the steps an author needs to follow to submit the final version. The author kits URL will be included in the letter of acceptance.

We would recommend that you should not use too many extra pages, even if you can afford the extra fees. No more than 2 contributions per event are recommended, as each contribution must be separately registered and paid for. At least one author of each accepted paper must register to ensure that the paper will be included in the conference proceedings and in the digital library, or posted on the www.iaria.org (for slide-based contributions).

CONTRIBUTION TYPE

Regular Papers (up to 6-10 page article -6 pages covered the by regular registration; max 4 extra pages allowed at additional cost- ) (oral presentation)
These contributions could be academic or industrial research, survey, white, implementation-oriented, architecture-oriented, white papers, etc. They will be included in the proceedings, posted in the free-access ThinkMind digital library and sent for indexing. Please submit the contributions following the instructions for the regular submissions using the "Submit a Paper" button and selecting the appropriate contribution type. 12-14 presentation slides are suggested.

Short papers (work in progress) (up to 4 pages long) (oral presentation)
Work-in-progress contributions are welcome. These contributions represent partial achievements of longer-term projects. They could be academic or industrial research, survey, white, implementation-oriented, architecture-oriented, white papers, etc. Please submit the contributions following the instructions for the regular submissions using the "Submit a Paper" button and selecting the contribution type as work in progress. Contributors must follow the conference deadlines, describing early research and novel skeleton ideas in the areas of the conference topics. The work will be published in the conference proceedings, posted in the free-access ThinkMind digital library and sent for indexing. For more details, see the Work in Progress explanation page. 12-14 presentation slides are suggested.

Ideas contributions (2 pages long) (oral presentation)
This category is dedicated to new ideas in their very early stage. Idea contributions are expression of yet to be developed approaches, with pros/cons, not yet consolidated. Ideas contributions are intended for a debate and audience feedback. Please submit the contributions following the instructions for the regular submissions using the "Submit a Paper" button and selecting the contribution type as Idea. Contributors must follow the conference deadlines, describing early research and novel skeleton ideas in the areas of the conference topics. The work will be published in the conference proceedings, posted in the free-access ThinkMind digital library and sent for indexing. For more details, see the Ideas explanation page. 12-14 presentation slides are suggested.

Extended abstracts (2 pages long) (oral presentation)
Extended abstracts summarize a long potential publication with noticeable results. It is intended for sharing yet to be written, or further on intended for a journal publication. Please submit the contributions following the instructions for the regular submissions using the "Submit a Paper" button and selecting the contribution type as Extended abstract. Contributors must follow the conference deadlines, describing early research and novel skeleton ideas in the areas of the conference topics. The work will be published in the conference proceedings, posted in the free-access ThinkMind digital library and sent for indexing. 12-14 presentation slides are suggested.

Posters (paper-based, two pages long) (oral presentation)
Posters are intended for ongoing research projects, concrete realizations, or industrial applications/projects presentations. The poster may be presented during sessions reserved for posters, or mixed with presentation of articles of similar topic. A two-page paper summarizes a presentation intended to be a POSTER. This allows an author to summarize a series of results and expose them via a big number of figures, graphics and tables. Please submit the contributions following the instructions for the regular submissions using the "Submit a Paper" button and selecting the contribution type as Poster Two Pages. Contributors must follow the conference deadlines, describing early research and novel skeleton ideas in the areas of the conference topics. The work will be published in the conference proceedings, posted in the free-access ThinkMind digital library and sent for indexing. 8-10 presentation slides are suggested. Also a big Poster is suitable, used for live discussions with the attendees, in addition to the oral presentation.

Posters (slide-based, only) (oral presentation)
Posters are intended for ongoing research projects, concrete realizations, or industrial applications/projects presentations. The poster may be presented during sessions reserved for posters, or mixed with presentation of articles of similar topic. The slides must have comprehensive comments. This type of contribution only requires a 8-10 slide-deck. Please submit the contributions following the instructions for the regular submissions using the "Submit a Paper" button and selecting the contribution type as Poster (slide-only). The slide-deck will be posted, post-event, on www.iaria.org.
8-10 presentation slides are suggested. Also a big Poster is suitable, used for live discussions with the attendees, additionally to the oral presentation.

Presentations (slide-based, only) (oral presentation)
These contributions represent technical marketing/industrial/business/positioning presentations. This type of contribution only requires a 12-14 slide-deck. Please submit the contributions following the submission instructions by using the "Submit a Paper" button and selecting the contribution type as Presentation (slide-only). The slide-deck will be posted, post-event, on www.iaria.org.
12-14 presentation slides are suggested.

Demos (two pages) [posted on www.iaria.org]
Demos represent special contributions where a tool, an implementation of an application, or a freshly implemented system is presented in its alfa/beta version. It might also be intended for thsoe new application to gather the attendee opinion. A two-page summary for a demo is intended to be. It would be scheduled in special time spots, to ensure a maximum attendance from the participants. Please submit the contributions following the submission instructions by using the "Submit a Paper" button and selecting the contribution type as Demos. The Demos paper will be posted, post-event, on www.iaria.org.

Tutorial proposals
Tutorials provide overviews of current high interest topics. Proposals should be for 2-3 hour long. Proposals must contain the title, the summary of the content, and the biography of the presenter(s). The tutorial slide decks will be posted on the IARIA site.
Please send your proposals to tutorial proposal

Panel proposals
The organizers encourage scientists and industry leaders to organize dedicated panels dealing with controversial and challenging topics and paradigms. Panel moderators are asked to identify their guests and manage that their appropriate talk supports timely reach our deadlines. Moderators must specifically submit an official proposal, indicating their background, panelist names, their affiliation, the topic of the panel, as well as short biographies. The panel slide deck will be posted on the IARIA site.
Please send your proposals to panel proposal