The First International Conference on Reasoning and Decision-making in Intelligent Systems
Porto, Portugal
June 7 - 11, 2026
This event will be held in hybrid mode, with both on site and remote options.
Submission:
February 12, 2026
Notification:
April 2, 2026
Registration:
April 15, 2026
Camera Ready:
April 28, 2026
Submission deadline: February 12, 2026
- At a Glance
In an era where intelligent systems operate in increasingly dynamic and complex environments, the bridge from raw sensing to reliable decision-making is a defining challenge. Advances in sensor technology, data fusion, and AI-driven reasoning are converging to create pipelines capable of perceiving, understanding, and acting with precision and resilience. This conference focuses on the mechanisms and implementations that make such pipelines possible – from embedded hardware and signal processing to adaptive reasoning and safe decision execution.
Conference Chairs
Dr.
Steve Chan
Decision Engineering Analysis Laboratory, VTIRL, VT, USA
Advisory Board
(to be announced)
Participate
If you want to get involved beyond submitting an article, please consider organizing a workshop, a thematic session, or a demo. Details are available on the Event Satellites page.
- Call For Papers
In an era where intelligent systems operate in increasingly dynamic and complex environments, the bridge from raw sensing to reliable decision-making is a defining challenge. Advances in sensor technology, data fusion, and AI-driven reasoning are converging to create pipelines capable of perceiving, understanding, and acting with precision and resilience. This conference focuses on the mechanisms and implementations that make such pipelines possible — from embedded hardware and signal processing to adaptive reasoning and safe decision execution.
The scope spans both the diversity of sensing modalities and the sophistication of computational mechanisms that transform raw inputs into actionable intelligence. By integrating topics across hardware, software, and system-level considerations, the event addresses challenges such as low-power sensing, multimodal fusion, explainable recognition, adaptive decision-making, reasoning, and lifecycle validation. The goal is to provide participants with not only theoretical insights but also concrete tools and methods that can be implemented in operational environments.
Through a mix of technical sessions, demonstrations, and collaborative discussions, the conference serves as a forum for bridging the gap between cutting-edge research and deployment-ready solutions. It invites engineers, researchers, and practitioners to explore innovations that are robust, secure, and scalable — enabling intelligent systems that can sense, interpret, and decide with confidence in an ever-changing world.
Professionals from industry, government, and academia, researchers, engineers, practitioners, and students are invited to contribute. REASON welcomes 1) full papers presenting significant research, development, application, position, or survey, 2) short papers on work-in-progress, 3) posters, 4) contributed talk presentations, as well as workshops, thematic sessions, and demos.
Prospective authors are invited to submit original, unpublished works, which are not under review in any other conference or journal. Topics of interest include, but are not limited to, the following.
Topics
- Multi-modal IoT devices and heterogeneous sensors
- On-device data preprocessing through edge processing
- Aligning multi-sensor data streams across different time scales
- Context-aware sensor dynamic activation
- Energy-aware sensing adaptive duty cycling
- Anomaly sensing and filtering
- Handling delays between sensing and decisions
- Maintaining accuracy through calibration and drift compensation
- Aggregating diverse sensor data
- Ontology-based context modeling for sensor networks
- Real-time semantic labeling of detected patterns
- Combining symbolic and statistical reasoning for context inference
- Adaptive rule engines for environment-dependent decisions
- Spatio-temporal reasoning in smart city applications
- Context switching in mobile autonomous systems
- Semantic data annotation for interoperability
- Detecting and handling conflicting context information
- Multi-agent context sharing and negotiation
- Incorporating user preferences into context inference
- Lightweight CNNs for embedded image classification
- Signal shape analysis for anomaly detection
- Graph-based pattern matching in IoT networks
- Recurrent neural networks for temporal pattern modeling
- Clustering techniques for unsupervised pattern discovery
- Symbolic pattern encoding for hybrid AI models
- Adaptive thresholding for changing environmental data
- Real-time gesture recognition from wearable sensors
- Explainable AI approaches in pattern classification
- Feature selection methods for resource-constrained systems
- Data provenance for trustworthy AI
- Metadata standards for intelligent agents
- Data quality metrics for adaptive systems
- Semantic annotation in domain-specific AI
- Fusion of multimodal sensor data
- Privacy-preserving data handling in intelligent systems
- Data lifecycle management for learning agents
- Governance of autonomous data pipelines
- Distributed storage and integrity verification
- Auditable data trails in intelligent services
- Real-time data ingestion for AI systems
- Batch vs. streaming in adaptive intelligence
- Feature representation for reasoning tasks
- Temporal indexing in dynamic environments
- Multimodal data embeddings for agents
- Adaptive preprocessing under data drift
- Edge-to-cloud ETL for intelligent platforms
- Online compression and efficient storage
- Approximate queries for large AI datasets
- Energy-aware data pipelines in intelligent systems
- Temporal patterns in sensor-rich environments
- Spatial patterns in geospatial intelligence
- Sequence mining for user and agent behavior
- Graph motifs in social and knowledge networks
- Emergent patterns in complex adaptive systems
- Rare pattern detection for anomaly management
- Evolutionary patterns in dynamic data streams
- Multi-scale patterns across heterogeneous sources
- Causal patterns for explanatory intelligence
- Detecting and handling pattern drift
- Representation learning for structured patterns
- Symbolic pattern discovery from knowledge bases
- Graph embeddings for relational reasoning
- Attention mechanisms for sequence reasoning
- Transfer learning of discovered patterns
- Few-shot pattern adaptation in new domains
- Continual learning with stable pattern retention
- Contrastive learning for discriminative patterns
- Generative pattern discovery for simulation
- Multi-agent learning of coordinated patterns
- Pattern discovery in heterogeneous sensor streams
- Temporal pattern learning for event-driven decisions
- Spatial pattern recognition in distributed data flows
- Multi-scale pattern fusion for adaptive cognition
- Rare-pattern detection in safety-critical systems
- Predictive maintenance via degradation pattern mining
- Decision optimization from recurring behavior patterns
- Pattern drift detection in evolving environments
- Causal pattern extraction for trustworthy AI reasoning
- Pattern libraries as reusable decision-making assets
- Context recognition engines for detecting and classifying scenarios
- Behavior profiling on short-term vs. long-term behavioral patterns.
- Multi-Agent situation awareness and coordination
- Event sequence mining from historical datasets
- Adaptive rule triggers for changing situational inputs
- Anomaly and drift detection
- Feedback-loop modelling for decision logic
- Intent inference models from observed patterns
- Cross-domain pattern transfer by learned behavioral models
- Visualization for decision contexts for human-in-the-loop decision-making
- Rule-based decision engines with dynamic policy updates
- Bayesian networks for probabilistic decision-making
- Decision-trees and ensembles for embedded controllers
- Model-predictive control for real-time adjustments
- Multi-objective optimization for conflicting goals
- Distributed decision-making in swarm robotics
- Prioritization mechanisms for simultaneous events
- Safety verification of automated decision logic
- Human-in-the-loop decision override mechanisms
- Reinforcement learning for adaptive policy refinement
- Deductive reasoning in intelligent systems
- Inductive inference for adaptive learning
- Abductive reasoning for hypothesis formation
- Analogical reasoning for problem solving
- Probabilistic reasoning under uncertainty
- Causal reasoning in decision support
- Temporal logic reasoning for dynamic tasks
- Commonsense reasoning for everyday AI
- Counterfactual reasoning in planning systems
- Explainable reasoning for transparent AI
- Neuro-symbolic reasoning for interpretable AI
- Fuzzy reasoning in approximate contexts
- Logic–learning pipelines in hybrid AI
- Ontology-driven reasoning in expert systems
- Uncertainty reasoning with probabilistic models
- Probabilistic programming for intelligent agents
- Trustworthy reasoning through hybrid checks
- Interactive reasoning agents combining rules and data
- Multimodal reasoning in intelligent environments
- Cross-domain reasoning for adaptive intelligence
- Stream reasoning in high-velocity data
- Complex event processing for intelligent agents
- Online inference in dynamic decision contexts
- Situational awareness in cyber–physical systems
- Time-critical reasoning for safety-critical AI
- Event correlation in distributed agent systems
- Temporal constraint satisfaction in scheduling
- Real-time anomaly detection in adaptive agents
- Bounded-latency reasoning in mission-critical AI
- Runtime assurance of intelligent behaviors
- Healthcare diagnostics with reasoning agents
- Smart city services using pattern analysis
- Cybersecurity defense via anomaly reasoning
- Industrial automation through reasoning systems
- Financial analytics with causal inference
- Environmental monitoring with spatiotemporal reasoning
- Mobility optimization with reasoning-based AI
- Scientific discovery supported by reasoning agents
- Education systems with adaptive reasoning
- Digital services powered by data reasoning
- Cognitive models in AI-driven reasoning
- Human-in-the-loop reasoning frameworks
- Decision support with transparent explanations
- Collaborative reasoning between humans and agents
- Explainability for user trust in intelligent systems
- Visual reasoning aids for complex data
- Human–agent teaming in decision-making
- Identifying and mitigating reasoning biases
- Trust calibration in hybrid reasoning systems
- Ethical reasoning in intelligent applications
- Reasoning with large language and foundation models
- Data-centric AI for improved reasoning quality
- Self-evolving reasoning mechanisms in AI agents
- Global-scale reasoning on distributed data
- Edge intelligence with local reasoning capacity
- Quantum-inspired reasoning models
- Autonomous reasoning in open-world agents
- Multilingual reasoning in digital ecosystems
- Collective intelligence from networked agents
- Open challenges for next-generation reasoning
- Online learning from streaming sensor data
- Transfer learning for rapid deployment in new environments
- Incremental model updates without retraining from scratch
- Self-configuration of sensing–decision pipelines
- Adaptive feature extraction for evolving patterns
- Continual learning in embedded AI systems
- Cross-domain generalization in decision models
- Meta-learning for task-specific decision-making
- Detecting and mitigating concept drift in sensor streams
- Autonomous parameter tuning for optimal sensing performance
- Context-aware decision engines for environmental, operational, and situational data
- Mission-critical decision Loops, Fail-safe, rapid-response mechanisms.
- Hybrid real-time + historical analysis decisions
- Multi-criteria decision optimization
- Adaptive decision thresholds (sensitivity, evolving contexts)
- Event-driven decision triggers for instant changes
- Knowledge-graph–enhanced decision paths
- Risk-aware decision filters for uncertainty and probability
- Feedback-loop–driven decision refinement for near real time.
- Distributed decision coordination for multi-node decision systems
- Heuristic models (experience-driven decision shortcuts)
- Rule-based decision systems
- Policy-based decision frameworks
- Intent-based decision models (from high-level goals into actionable plans)
- Constraint-satisfaction approaches (strict operational boundaries)
- Case-based reasoning systems
- Fuzzy logic decision layers (handling ambiguity and approximation)
- Reinforcement-learning–driven policies
- Multi-agent negotiation strategies (collaborative decisions)
- Hybrid decision orchestration (heuristics, rules, and AI learning models)
- Partitioning sensing and decision workloads across layers
- Low-latency streaming analytics at the network edge
- Sensor data aggregation in fog computing nodes
- Cloud-based pattern recognition for large-scale datasets
- Secure transmission from edge devices to cloud services
- Adaptive load balance for distributed decision processes
- Containerization of sensing–decision modules
- Real-time synchronization between edge and cloud models
- Bandwidth-aware data routing in hybrid systems
- Failure recovery and failover in multi-layer architectures
- Testbench design for sensing–decision pipelines
- Hardware-in-the-loop testing for real-time systems
- Benchmarking pattern recognition models in noisy conditions
- Formal verification of decision logic
- Reliability modeling for mission-critical applications
- Sensor redundancy for fault tolerance
- Fail-safe design for autonomous decision systems
- Long-term drift monitoring in deployed sensors
- Validation of adaptive models in changing environments
- Certification standards for AI-based sensing systems
- Data integrity protection from sensor to decision node
- Privacy-preserving pattern recognition using federated learning
- Secure boot and firmware validation in sensor devices
- Encryption protocols for low-power sensing platforms
- Intrusion detection in distributed sensing networks
- Adversarial attack detection in AI-based recognition
- Tamper detection for physical sensor hardware
- Authentication protocols for multi-sensor systems
- Trust scoring for autonomous decision sources
- Access control policies for shared sensing infrastructure
- Real-time object tracking in autonomous vehicles
- Patient monitoring systems with adaptive alerting
- Industrial equipment health prediction from vibration patterns
- Smart agriculture sensing and decision support
- Disaster detection and response systems
- Wildlife tracking with embedded AI pattern detection
- Energy optimization in building automation systems
- Predictive maintenance in manufacturing lines
- Border and perimeter security sensing platforms
- Maritime surveillance and navigation assistance
- Cyber-physical supply chain monitoring
- Enhanced situational awareness for decision augmentation systems
- AI-centric training and simulation platforms for first responders
- AI-centric orchestration platforms
- Algorithm complexity and interpretability/explainability for decision support AI agents
- AI-driven data curation and cleaning
- Pattern mining with deep learning
- Reasoning with large language and foundation models
- Digital twins as reasoning engines
- Neuro-symbolic reasoning in digital platforms
- Adaptive reasoning under digital transformation
- AI for causal pattern discovery
- Reasoning with uncertainty in AI-based services
- Scalable reasoning on digital platforms
- Governance and ethics of AI-driven reasoning
Instructions for Authors
For more information on the submission process, please consult The Detailed Instructions for Authors.
To submit your work to this event:
- Submit an Article
Before submitting, please consult The Detailed Instructions for Authors.
To submit your work to this event:
- Event Satellites
If you are interested in organizing a workshop, a thematic session, or a demo within the program of this conference, we are looking forward to hearing from you.
The details for what this entails are available at Event Satellites. The contact information on that page will serve as the starting point with someone ready to answer any questions you may have and to help set up the required logistics.
- Camera Ready
Prepare the camera-ready following these guidelines:
- Ensure the paper is formatted according to the IEEE formatting template. See https://www.ieee.org/conferences/publishing/templates
- Consider all the comments from the reviewers that were sent with your acceptance notification email.
- Do NOT include page numbers or any copyright information.
- The length is 6 pages of text (including figures and references) in the standard IEEE two-column format above, with the possibility of 2 extra pages.
The camera ready site will be ready in time for notification.
- Registration
The registration site will be open at the same time as the notification date.
Details about the registration process are available on the Registration page.
- Publication
All accepted and registered papers (full papers and short/work in progress papers), regardless of presentation mode, will be published in the conference Proceedings under an ISBN reference and included in the Digital Library.
Proceedings: DRT Society Press
Library: DTR Society Digital Library
Accepted and registered Posters and Contributed Talks, regardless of presentation mode, will be posted on the conference webpage.
- Presentation
All accepted and registered contributions are allotted a presentation slot of 25 minutes in the conference program.
We encourage everyone to attend the conference and present in person, but we recognize that this may not always be feasible. Authors who are unable to attend physically have the option to send their presentation slides in advance to be posted online. If a prerecorded presentation video is provided, it will also be made available.
Authors who will present in person at the conference location also have the option to send their presentation slides to be posted.
The in-person sessions from the conference location will not be streamed.
For additional instructions on preparing the presentation slides and optional video, please see the Presentations page.
- Peer Review
Methodology
All submissions are peer reviewed by three or more reviewers, and evaluated based on relevance, technical content, originality, competence, significance, and presentation.
Reviewers are asked to offer constructive feedback to help the authors improve their work, regardless of whether the submission is accepted or rejected.
Reviewers are expected to adhere to our Conduct Policies.
Notification
Notification of acceptance or rejection will be issued by the evaluation system and sent to the contact author email address.
Rebuttal
Authors have a period for rebuttal of one week after notification. A rebuttal can be filed by contacting us along with the relevant data (conference name, submission number, and reason for rebuttal)
All rebuttals are answered, and the decisions are final.
- Indexing
All 2026 events are first events in their series. Indexing is planned when the events get mature and solid in terms of number of contributions and content within the coming years.
The enhanced visibility of all publications is the scientific target of the DTR Society. The proceeding will be submitted to various indexes like Google Scholar, SCOPUS, DBLP, PubMed, HCIBib, EI-Compendex, etc.
- Conference Venue
The conference will take place at:
Hotel Novotel Porto Gaia
Rua Martir Sao Sebastiao, Afurada,
4400-499 Vila Nova de Gaia
Phone: +351 22 772 8700
Email: h1050@accor.com
A group registration form will be available.
For more information about the conference venue, please consult the Hotel Novotel Porto Gaia page we have put together.
- Touristic Information
For places to visit around the conference location, please consult the Porto touristic information page.
- Program
| Location Hotel Novotel Porto Gaia Day 1: Sunday, June 7 |
||
| Time | Conference Room #1 | |
| 12:00 – End of Day | Participant Registration | |
| Invited Speeches | ||
| 19:00 – 20:00 | Welcome Reception | |
| Day 2: Monday, June 8 | ||
| Time | Conference Room #1 | Conference Room #2 |
| 09:15 – 09:30 | Opening Remarks | |
| 09:30 – 10:30 | Invited Speech | |
| 10:30 – 11:00 | Morning Break | |
| 11:00 – 12:30 | Presentations Session | Presentations Session |
| 12:30 – 14:00 | Lunch | |
| 14:00 – 15:30 | Presentations Session | Presentations Session |
| 15:30 – 16:00 | Afternoon Break | |
| 16:00 – 17:30 | Presentations Session | Presentations Session |
| 20:00 – 22:00 | Social Dinner | |
| Day 3: Tuesday, June 9 | ||
| Time | Conference Room #1 | Conference Room #2 |
| 09:30 – 10:30 | Invited Speech | |
| 10:30 – 11:00 | Morning Break | |
| 11:00 – 12:30 | Presentations Session | Presentations Session |
| 12:30 – 14:00 | Lunch | |
| 14:00 – 15:30 | Presentations Session | Presentations Session |
| 15:30 – 16:00 | Afternoon Break | |
| 16:00 – 17:30 | Presentations Session | Presentations Session |
| Day 4: Wednesday, June 10 | ||
| Time | Conference Room #1 | Conference Room #2 |
| 09:30 – 10:30 | Invited Speech | |
| 10:30 – 11:00 | Morning Break | |
| 11:00 – 12:30 | Presentations Session | Presentations Session |
| 12:30 – 14:00 | Lunch | |
| 14:00 – 15:30 | Presentations Session | Presentations Session |
| 15:30 – 16:00 | Afternoon Break | |
| 16:00 – 17:30 | Presentations Session | Presentations Session |
| Day 5: Thursday, June 11 | ||
| Time | Conference Room #1 | |
| 09:30 – 10:30 | Invited Speech | |
| 10:30 – 11:00 | Morning Break | |
| 11:00 – 12:30 | Presentations Session | |
| 12:30 – 14:00 | Lunch | |
| 14:00 – 15:30 | Presentations Session | |
| 15:30 – 16:00 | Closing Remarks | |