Association for the Advancement of Artificial Intelligence Symposium (AAAI Symposium)*

Association for the Advancement of Artificial Intelligence Symposium (AAAI Symposium)*

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The biannual Association for the Advancement of Artificial Intelligence Symposium (AAAI Symposium) is a series symposia scheduled for spring (since 1992, USA), summer (since 2023, Asia), and fall (since 1992, USA). The symposium affords participants a smaller, more intimate setting where they can share ideas and learn from each other’s artificial intelligence (AI) research. Topics for the symposia change each year, and the limited seating capacity and relaxed atmosphere allow for workshop like interaction.

The AAAI Spring Symposium is organized in association with the Department of Computer Science at Stanford University.

Recurring Symposia:

  • 2019-present: Combining Machine Learning and Knowledge Engineering (MAKE) @ AAAI Spring Symposium
    (Organizer: Intelligent Information Systemms Research Group, School of Business, FHNW University of Applied Sciences and Arts Northwestern Switzerland)
    The AAAI-MAKE symposium aims to bring together researchers and practitioners from machine learning and knowledge engineering to reflect how combining the two fields can contribute to hybrid intelligence systems.

    2024: Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge
    Keynotes:
    AI with Common Sense — The Bigger Picture
    Reasoning in humans and machines
    What LLMs might learn from Cyc” — in memoriam of Douglas B. Lenat (1950–2023)
    Large Language Models as Cultural Technologies: Truth versus transmission
    The Next Grand Challenge in AI — Making Better Mistakes
    Incorporating explanation-based reasoning into models of human and machine intelligence

    Presentations: Papers
    Can LLMs Answer Investment Banking Questions? Using Domain-Tuned Functions to Improve LLM Performance on Knowledge-Intensive Analytical Tasks
    Human-AI Collaboration Through Data-Centric Process Models: Empowering Large Language Models in Hybrid Intelligence Systems for Knowledge-Intensive Processes
    Concept-Guided LLM Agents for Human-AI Safety Codesign
    Retrieval-Augmented Generation and Reasoning-and-Action Agents in Biomimicry
    ASMR: Aggregated Semantic Matching Retrieval Unleashing Commonsense Ability of LLM through Open-Ended Question Answering
    GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding
    Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge
    LLMs in Automated Essay Evaluation: A Case Study
    ChEdBot: Designing a Domain-Specific Conversational Agent in a Simulational Learning Environment using LLMs
    K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries
    A Framework for Enhancing Behavioral Science Research with Human-Guided Language Models
    Semantic Verification in Large Language Model-based Retrieval Augmented Generation
    Faithful Reasoning over Scientific Claims
    LLMs Among Us: Generative AI Participating in Digital Discourse
    Modeling Patterns for Neural-Symbolic Reasoning Using Energy-based Models
    What Can Computers Do Now? Dreyfus Revisited for the Third Wave of Artificial Intelligence
    Advancing Ontology Alignment in the Labor Market: Combining Large Language Models with Domain Knowledge
    Personalised Course Recommender: Linking Learning Objectives and Career Goals through Competencies
    An LLM-Aided Enterprise Knowledge Graph (EKG) Engineering Process
    Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs
    Domain-specific Embeddings for Question-Answering Systems: FAQs for Health Coaching
    Enhancing Knowledge Graph Consistency through Open Large Language Models: A Case Study
    GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction
    Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification
    Exploring Failure Cases in Multimodal Reasoning About Physical Dynamics
    Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
    Causal Event Graph-Guided Language-based Spatiotemporal Question Answering

    Plenary: (1)
    TBD

    2023: Challenges Requiring the Combination of Machine Learning and Knowledge Engineering
    Keynotes:
    Personal Perspectives on AI (with historical side-stories)

    Presentations: Papers
    A Systematic and Efficient Approach to the Design of Modular Hybrid AI Systems
    Embedded to Interpretive: A Paradigm Shift in Knowledge Discovery to Represent Dynamic Knowledge
    Hybrid ML/KB Systems Learning through NL Dialog with DL Models
    An Early Warning System that combines Machine Learning and a Rule-Based Approach for the Detection of Cancer Patients’ Unplanned Visits
    Robot Behavior-Tree-Based Task Generation with Large Language Models
    Explainable Reinforcement Learning Based on Q-Value Decomposition by Expected State Transitions
    AISecKG: Knowledge Graph Dataset for Cybersecurity Education
    Towards Dialog Strategies for a Hybrid Health Coach Chatbot
    Ontology-Driven Enhancement of Process Mining With Domain Knowledge
    Neuro-symbolic Rule Learning in Real-world Classification Tasks
    Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data
    Leveraging RDF Graphs, Similarity Metrics and Network Analysis for Business Process Management
    A Hybrid Intelligent Approach Combining Machine Learning and a Knowledge Graph to Support Academic Journal Publishers Addressing the Reviewer Assignment Problem (RAP)
    Towards Hybrid Intelligent Support Systems for Emergency Call Handling
    PyReason: Software for Open World Temporal Logic
    The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges
    Counterfactual Edits for Generative Evaluation
    Knowledge-Based Counterfactual Queries for Visual Question Answering
    Fine-Grained ImageNet Classification in the Wild

    Presentations: Challenges
    An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP)
    Dynamic Ontology Matching Challenge

    Presentations: Short Papers
    Offline RL+CKG: A hybrid AI model for cybersecurity tasks
    Creating Dynamically Evolving Ontologies: A Use Case from the Labour Market Domain
    Cognitive Neuro-Symbolic Reasoning

    Demonstrations:
    Neural Networks for Design Thinking: A Recognition Service for Scene2Model using Haptic Modelling Objects

    Discussions:
    Towards Knowledge Standardization and Formalization

    2022: Machine Learning and Knowledge Engineering for Hybrid Intelligence
    Keynotes:
    Google Dataset Search

    Presentations: Papers
    Neural-Symbolic Reasoning under Open-World and Closed-World Assumptions
    Machine Learning on Simulated and Real Farm Data based on an Ontology-Controlled Data Infrastructure
    A Framework for Context-dependent Augmented Reality Applications Using Machine Learning and Ontological Reasoning
    Combining Machine Learning with Human Knowledge for Delivery Time Estimations
    Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft
    A Hybrid Intelligent Approach for the Support of Higher Education Students in Literature Discovery
    SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories
    Adjoined Networks: A training paradigm with applications to network compression
    KARaML: Integrating Knowledge-Based and Machine Learning Approaches to Solve the Winograd Schema Challenge
    Contrastive Visual and Language Translational Embeddings for Visual Relationship Detection
    CalBERT – Code-mixed Adaptive Language representations using BERT
    Learning Rules with Attributes and Relations in Knowledge Graphs
    Explainable Deep Feature Embedding using Multiple Instance Learning for Pathological Image Analysis
    The FATE system iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case
    ConceptSuperimposition: Using Conceptual Modeling Method for Explainable AI
    Robots with Commonsense: Improving Object Recognition through Size and Spatial Awareness
    Hybrid AI system delivering highly targeted news to business professionals
    Extracting Knowledge with Constructivist Machine Learning: Conceptual and Procedural Models
    Using the Strategy Design Pattern for Hybrid AI System Design
    Do it Like the Doctor: How We Can Design a Model to Diagnose Pneumothorax Using Domain Knowledge
    Collusion Detection in Team-Based Multiplayer Games
    Agent Smith: Machine Teaching for Building Question Answering Agents
    Conceptual Edits as Counterfactual Explanations

    Presentations: Short Papers
    Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions
    SemOI2 – Building Adaptive And Cost-Effective Recognition Applications With Semantic Augmentation
    Actionable Recommendations for Small Businesses with Hybrid AI
    Decision Transformers for Glut Control in the Active Logic Machine
    Potential Energy to Improve Link Prediction with Relational Graph Neural Networks

    2021: Combining Machine Learning and Knowledge Engineering
    Keynotes:
    Combining Machine Learning and Knowledge Engineering (opening)

    Presentations: Papers
    Decision Support combining Machine Learning, Knowledge Representation and Case-Based Reasoning
    Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation
    The Significance of Computational Performance for Enterprise AI in Question-Answering
    Knowledge Infused Policy Gradients for Adaptive Pandemic Control
    Evaluation of Machine Learning Algorithms in a Human-Computer Hybrid Record Linkage System
    Enhancement of Record Linkage by Using Attributes containing Natural Language Text
    Towards More Robust Fashion Recognition by Combining of Deep-Learning-Based Detection with Semantic Reasoning
    Neural-Symbolic Integration for Fairness in AI
    A Neural-Symbolic Approach for User Mental Modeling: A step towards building exchangeable identities
    Towards Kinematically Constrained Real Time Human Pose Estimation using Sparse IMUs
    Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters
    Anomaly Detection in Railway Infrastructure
    A Recap of Early Work on Theory and Knowledge Refinement
    Evaluating artificial short message service campaigns through rule based multi-instance multi-label classification
    Implications of Combining Domain Knowledge in Explainable Artificial Intelligence
    XAI for Operations in the Process Industry – Applications, Theses, and Research Directions
    Guiding Parameter Estimation of Agent-Based Modeling Through Knowledge-based Function Approximation
    Exploring the Hyperparameters of XGBoost Through 3D Visualizations
    Using Camera-Drones and Artificial Intelligence to Automate Warehouse Inventory
    Batch-like Online Learning for More Robust Hybrid Artificial Intelligence: Deconstruction as a Machine Learning Process
    Improving machine learning performance using conceptual modeling
    Hybrid AI using Graph Neural Networks in Scene Classification
    Fit to Measure: Reasoning about Sizes for Robust Object Recognition
    ZERO – Detect objects without training examples, by knowing their parts
    Knowledge Engineering with Image Data in Real-World Settings (DEMO)
    EmEL++ : Embeddings for the EL++ Description Logic
    Towards Automatic Ontology Alignment using BERT
    Ontology-based transfer learning in the airport and warehouse logistics domains
    Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment
    Learning profile-based recommendations for medical search auto-complete
    Using a General Prior Knowledge Graph to Improve Data-Driven Causal Network Learning
    Hybrid Conversational AI for Intelligent Tutoring Systems
    Semantic Enrichment of Pretrained Embedding Output for Unsupervised IR
    Automated Construction of Knowledge-Bases for Safety Critical Applications: Challenges and Opportunities
    The FATE system: FAir, Transparent and Explainable decision making
    SAMS: Human-in-the-loop Approach to Combat the Sharing of Digital Misinformation
    Team Design Patterns for Moral Decisions in Hybrid Intelligent Systems: A Case Study of Bias Mitigation
    “Is depression related to cannabis?”: A Knowledge-Infused model for Entity and Relation Extraction with Limited Supervision
    Towards unsupervised knowledge extraction
    Capturing Knowledge of Emerging Entities from Extended Search Snippets
    Case-Based System of User Interface Reverse Engineering
    A Study in Practical Solutions to Sarcasm Detection with Machine Learning and Knowledge Engineering Techniques
    Combining Symbolic and Sub-symbolic AI in the Context of Education and Learning
    Common-Knowledge Concept Recognition for SEVA
    Attribution-based Salience Method towards Interpretable Reinforcement Learnin
    Using Pre-trained Transformer Deep Learning Models to Identify Named Entities and Syntactic Relations for Clinical Protocol Analysis

    Panel Discussions: (1)
    n.a.

    2020: Combining Machine Learning and Knowledge Engineering in Practice

    Note: Although the symposium was cancelled the proceedings have been published

    Presentations: Regular Papers
    Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response
    Towards AI-based Solutions in the System Development Lifecycle
    An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice
    Using Pre-trained Transformer Deep Learning Models to Identify Named Entities and Syntactic Relations for Clinical Protocol Analysis
    Completion Reasoning Emulation for the Description Logic EL+
    ARO: A Memory-Based Approach to Environments with Perceptual Aliasing
    A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
    GiCoMAF: An Artificial Intelligence Algorithm to Utilize Maps for Operators of Unmanned Aerial Vehicles
    Supporting Trust in Hybrid Intelligence Systems Using Blockchains
    Common-Knowledge Concept Recognition for SEVA
    Using Learning Algorithms to Create, Exploit and Maintain Knowledge Bases: Principles of Constructivist Machine Learning
    Using Concepts to Understand Intelligent Agents
    Cognitive Twin: A Cognitive Approach to Personalized Assistants
    Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning
    Multi-PCA Driven Approach for Fault Detection and Root Cause Analysis of Process Equipment
    Frequency-Based vs. Knowledge-Based Similarity Measures for Categorical Data
    Case-Based System of User Interface Reverse Engineering
    Novel Approach to Music Genre Classification using Clustering Augmented Learning Method (CALM)
    Threshold Optimization in Multiple Binary Classifiers for Extreme Rare Events using Predicted Positive Data
    Mitigating Bias in Deep Nets with Knowledge Bases: the Case of Natural Language Understanding for Robots
    Supervised Visualization of Vocabulary Knowledge towards Explainable Support of Second Language Learners

    Presentations: Short Papers
    PODNet: A Neural Network for Discovery of Plannable Options
    Vec2Struc: A Method Towards Explainable Structural-Based Node Embeddings
    Combining Symbolic and Sub-symbolic AI in the Context of Education and Learning
    Attribution-based Salience Method towards Interpretable Reinforcement Learning
    Hitachi Materials Informatics Analytics Platform Assisting Rapid Development
    EM-algorithm Enpowers Material Science: Application of Inverse Estimation for Small Angle Scattering
    A Study in Practical Solutions to Sarcasm Detection with Machine Learning and Knowledge Engineering Techniques
    Legal Artificial Intelligence – Have You Lost a Piece from Jigsaw Puzzle?
    Tutor4RL: Guiding Reinforcement Learning with External Knowledge

    2019: Combining Machine Learning with Knowledge Engineering
    Keynotes:
    It’s Statistical Learning and Knowledge Engineering All the Way Down
    A boxology of architectural patterns for combining learning and reasoning

    Presentations: Position Papers
    Deconstructing the Final Frontier of Artificial Intelligence: Five Theses for a Constructivist Machine Learning
    Knowledge engineering and machine learning for design and use in cyber-physical environments
    From Demonstrations and Knowledge Engineering to a DNN Agent in a Modern Open-World Video Game
    Leverage White-Collar Workers with AI

    Presentations: Full Papers
    SEVA: A Systems Engineer’s Virtual Assistant
    Virtual Bartender: A Dialog System Combining Data-Driven and Knowledge-Based Recommendation
    Building Knowledge Base through Deep Learning Relation Extraction and Wikidata
    Duplicate Removal for Overlapping Clusters: A Study Using Social Media Data
    Performance measures fusion for experimental comparison of methods for multi-label classification
    CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks
    Tree-based Regularization for Interpretable Readmission Prediction

    Presentations: Position & Full Papers
    Collaborative Learning of Concept Representations for Video Data
    Representation and Retrieval of Images by Means of Spatial Relations Between Objects
    Modularity as a Means for Complexity Management in Neural Networks Learning
    Applying the Concept of Knowledge Blockchains to Ontologies
    Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks – A Survey
    Improving Topic Modeling for Textual Content with Knowledge Graph Embeddings
    The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text
    DEXTER – Data EXTraction & Entity Recognition for Low Resource Datasets
    CoKE : Word sense induction using contextualized knowledge embeddings
    Towards an Assistive and Pattern Learning-driven Process Modeling Approach
    DeepLogic: Towards End-to-End Differentiable Logical Reasoning
    On the Capabilities of Logic Tensor Networks for Deductive Reasoning
    KINN: Incorporating Expert Knowledge in Neural Networks
    Learning and Engineering Similarity Functions for Business Recommenders and Clustering
    Leveraging Wikipedia for Ontology Pattern Population from Text
    Metrics for Evaluating Quality of Embeddings for Ontological Concepts

    Posters & Demonstrations:
    Using Predicate Information from a Knowledge Graph to Identify Disease Trajectories
    A proposal for determining the evidence types of biomedical documents using a drug-drug interaction ontology and machine learning
    On Datasets for Evaluating Architectures for Learning to Reason
    Learning Temporal Rules from Knowledge Graph Streams

“Knowledge Management” Symposia:

2003: Agent-Mediated Knowledge Management (AMKM)

LP: Long presentation (25 min.), SP: Short presentation (15 min.), including discussion time

Invited Talks:
Adding AI to Web Services

SESSION: Collaboration and Peer-to-Peer Support
Peer-mediated Distributed Knowledge Management (LP)
The Impact of Conversational Navigational Guides on the Learning, Use, and Perceptions of Users of a Web Site (LP)
Agent-oriented Knowledge Management in Learning Environments: A Peer-to-Peer Helpdesk Case Study (LP)
Towards Evaluation of Peer-to-Peer-based Distributed Knowledge Management Systems (SP)

SESSION: Agent-based Community Support
Towards Trust-based Knowledge Management for Mobile Communities (LP)
Knowledge Management Framework for Collaborative Learning Support (SP)
Dynamic System for Internet Direct-to-Consumer Agent-Mediated KM (SP)
An Agent-Based Approach to Mailing List Knowledge Management (SP)
DIAG: From Community Discussion to Knowledge Distillation (SP)

SESSION: Agent Models for Knowledge and Organizations
Information Fields in Organization Modeling using an EDA Multi-Agent Architecture (LP)
Information Density Functional Theory (IDFT): A quantum approach to knowledge fusion and organizational mergers (SP)
Improving Organizational Memory through Agents for Knowledge Discovery in Database (SP)
Experience in using RDF in Agent-mediated Knowledge Architectures (SP)
Using an Agent-Based Framework and Separation of Concerns for the Generation of Document Classification Tools (SP)

SESSION: Context and Personalization
Modeling context-aware distributed knowledge (LP)
Discovering, visualizing and sharing knowledge through personalized learning knowledge maps – an agent-based approach (LP)
Agentized, Contextualized Filters for Information Management (SP)
Personal Agents for Implicit Culture Support (SP)
Working with a Knowledge Management Tool in a Domain Context (SP)

SESSION: Ontologies and Semantic Web
Integrating external sources in a corporate semantic web managed by a multi-agent system (LP)
Automatically Generated DAML Markup for Semistructured Documents (LP)
A Spreading Activation Framework for Ontology-enhanced Adaptive Information Access within Organisations (SP)
Ontology extraction for educational knowledge bases (SP)
Representing Interaction Protocols in DAML (SP)

SESSION: Agents and Knowledge Engineering
Analyzing the Requirements for Knowledge Management using Intentional Analysis (SP)
Perspectives: An Analysis of Multiple Viewpoints in Agent-Based Systems (SP)
A Multi-Agent Architecture for Knowledge Acquisition (SP)
Agent-Mediated Knowledge Engineering Collaboration (SP)
Dynamic Generation of Agent Communities from Distributed Production and Content-driven Delivery of Knowledge (LP)

Discussions:
Discussion Session
Final Discussion & Wrap-up

2003: Intelligent Multimedia Knowledge Management (IMKM) @ AAAI Spring Symposium
Collages as Dynamic Summaries of Mined Video Content for Intelligent Multimedia Knowledge Management

SESSION: Speech Processing
Evaluating Speech-Driven Web Retrieval in the Third NTCIR Workshop
The Relationship of Word Error Rate to Document Ranking
II-Avida – A Personalized Interactive Audio and Video Portal

SESSION: Topic Management
Searching Recorded Speech Based on the Temporal Extent of Topic Labels
Topic-Based Structuring of a Very Large-Scale News Video Corpus
TV News Story Segmentation, Personalisation and Recommendation

SESSION: Knowledge Management for Learning
A System for On-demand Video Lectures
Automated Management of Audio-Visual Presentations for Online Learning Applications
Discussion

SESSION: Video and Image Processing
Image Classification Using a Bigram Model
A Trainable Object-Tracking Method using Equivalent Retinotopical Sampling and Fisher Kernal
Automatic Detecting Neutral Face for Face Authentication

SESSION: Systems
Linking Video and Text via Representations of Narrative
Interactive Video Retrieval System Integrating Visual Search with Textual Search
Discussion

TREC Video Track:
Overview
Using Speech Retrieval to Search Video for Visual Content
Multimedia Search with Pseudo-Relevance Feedback
Video Management Discussion

Panel Session

1997: Artificial Intelligence in Knowledge Management (AIKM) @ AAAI Spring Symposium
Keynotes: (2)
Industrial Requirements for Knowledge Management

Sessions: (2-4 short presentations (8 min.) & general discussion (60 min))
Organizational Knowledge Management
Workflow Management
Knowledge Management through Hypermedia and Text Processing
Cognitive Aspects of Knowledge Management
Agents and Multi-Actor Systems
Knowledge Representation and Reasoning
Application of Ontological Engineering to Knowledge Management (Joint w. Symposium on Ontological Engineering)
Knowledge Discovery

Plenary Session (w. other AAAI Spring Symposia)

Presentations:
Towards a Well-Founded Technology for Organizational Memories
Global Sharing of Consulting Knowledge
Roles for Agent Technology in Knowledge Management: Examples from Applications in Aerospace and Medicine
A Model of Crisis Management System including Mental Representations
Constraints for Knowledge Maintenance
Trinity: Modelling Methods to Support Multi-actor Problem Solving
Providing User-Support in Performing Knowledge Discovery in Databases
Acquiring, Maintaining, and Customizing Organizational Work Process Descriptions
Knowledge Level Modeling of Agents, Organizations and Technologies
Knowledge Management for Research Communities
Case Base Engineering for Large Scale Industrial Applications
Consolidating Multi-Source and Multi-Media Knowledge
Knowledge Management for Requirements Engineering
Unique Challenges of Managing Inductive Knowledge
Knowledge Management on a Global Scale
A Concept Mapping Tool to Handle Multiple Formalism
Managing Knowledge using a Semantic-Network
Knowledge Management Using MODEL-ECS
CoMo-Kit: Knowledge Based Workflow Management
Knowledge Management for the Applied Sciences, Craig Mcdonald, Daniel Pun and John Weckert
Opportunities for AI Applications in Knowledge Management
Issues for Knowledge Management from Experiences in Supporting Group Knowledge Elicitation and Creation in Ill-defined Emerging Situations
Clustering Algorithm for Large-Scale Databases
Knowledge Disorders and Their Management
Balancing Formality with Informality: User-Centred Requirements for Organisational Management Technologies
Representing Hard-to-Formalize, Contextualized, Multidisciplinary Organisational Knowledge
Knowledge, Practice, Activities and People
Hybrid KM: Integrating Documents, Knowledge Bases, and the Web
Caring About Knowledge: The Importance of the Link Between Knowledge and Values
Beyond Full-text Search: AI-based Technology to Support the Knowledge Cycle
AI-Techniques and the Knowledge Pump

Conference History:

AAAI 2024 Spring Symposium, March 25-27, 2024, San Francisco, CA, USA

    Symposia:
    Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE 2024) / Virtual participation possible

AAAI 2023 Spring Symposium, March 27–29, 2023, San Francisco, CA, USA

    Symposia:
    Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE)

AAAI 2022 Fall Symposium, November 17-19, 2022, Arlington, VA, USA

    Symposia:
    Knowledge-Guided Machine Learning (KGML)

AAAI 2022 Spring Symposium, March 21–23, 2022, Stanford University, Palo Alto, CA, USA / Virtual venue

    Symposia:
    Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022; in-person w. remote attendance option)

AAAI 2021 Fall Symposium, November 4-6, 2021, Online

    Symposia:
    Science-Guided AI

AAAI 2021 Spring Symposium, March 22–24, 2021, Virtual venue

    Symposia:
    Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021)
    Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL AAAI 2021)
    Combining Machine Learning with Physical Sciences (AAAI-MLPS 2021)
    Machine Learning for Mobile Robot Navigation in the Wild

AAAI 2020 Fall Symposium, November 11-14, 2020, Washington, DC, USA

    Symposia:
    Physics-Guided AI to Accelerate Scientific Discovery

AAAI 2020 Spring Symposium, November 11-12, 2020, Stanford University, Palo Alto, CA, USA

    Note: The physical meeting of the Spring Symposium scheduled for March 23-25 has been postponed to November 11-12, 2020 and March 22–24, 2021 (virtual mode).
    In some cases, organizers may opt out of this meeting, or may hold an additional virtual meeting during the previously scheduled March 23-25 timeframe. Alternately, they may opt for a virtual meeting only.

    Symposia:
    Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020, Nov 11-12 | POSTPONED to 3/2021)
    Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL AAAI 2020, Nov 11-12 | POSTPONED to 3/2021)
    Combining Artificial Intelligence and Machine Learning with Physical Sciences (AAAI-MLPS 2020, Mar 23-25, virtual)

AAAI 2019 Spring Symposium, March 25-27, 2019, Stanford University, Palo Alto, CA, USA

    Symposia:
    Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019)

AAAI 2017 Spring Symposium, March 27-29, 2017, Stanford University, Palo Alto, CA, USA

    Symposia:
    Designing the User Experience of Machine Learning Systems
    Learning from Observation of Humans
    Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing

AAAI 2016 Spring Symposium, March 21-23, 2016, Stanford University, Palo Alto, CA, USA

    Symposia:
    Challenges and Opportunities in Multiagent Learning for the Real World

AAAI 2015 Fall Symposium, November 12–14, 2015, Arlington, VA, USA

    Symposia:
    Embedded Machine Learning

AAAI Spring Symposium, March 23–25, 2015, Stanford University, Palo Alto, CA, USA

    Symposia:
    Knowledge Representation and Reasoning: Integrating Symbolic and Neural Approaches

AAAI 2014 Fall Symposium, November 13–15, 2014, Arlington, VA, USA

    Symposia:
    Knowledge, Skill, and Behavior Transfer in Autonomous Robots
    Natural Language Access to Big Data

AAAI 2014 Spring Symposium, March 24–26, 2014, Stanford University, Palo Alto, CA, USA

    Symposia:
    Big Data Becomes Personal: Knowledge into Meaning
    Knowledge Representation and Reasoning in Robotics

AAAI 2013 Fall Symposium, November 15–17, 2013, Arlington, VA, USA

    Symposia:
    Discovery Informatics: AI Takes a Science-Centered View on Big Data
    Semantics for Big Data
    Social Networks and Social Contagion: Web Analytics and Computational Social Science

AAAI 2013 Spring Symposium, March 25–27, 2013, Stanford University, Palo Alto, CA, USA

    Symposia:
    Lifelong Machine Learning
    Weakly Supervised Learning from Multimedia

AAAI 2012 Fall Symposium, November 2–4, 2012, Arlington, VA, USA

    Symposia:
    Information Retrieval and Knowledge Discovery in Biomedical Text
    Robots Learning Interactively from Human Teachers
    Social Networks and Social Contagion

AAAI 2012 Spring Symposium, March 26–28, 2012, Stanford University, Palo Alto, CA, USA

    Symposia:
    Wisdom of the Crowd

AAAI 2011 Fall Symposium, November 4–6, 2011, Arlington, VA, USA

    Symposia:
    Open Government Knowledge: AI Opportunities and Challenges

AAAI 2011 Spring Symposium, March 21–23, 2011, Stanford University, Palo Alto, CA, USA

    Symposia:
    Help Me Help You: Bridging the Gaps in Human-Agent Collaboration

AAAI 2010 Fall Symposium, November 11–13, 2010, Arlington, VA, USA

    Symposia:
    Commonsense Knowledge
    Computational Models of Narrative
    Manifold Learning and Its Applications

AAAI 2010 Spring Symposium, March 22–24, 2010 Stanford University, Palo Alto, CA, USA

    Symposia:
    Linked Data Meets Artificial Intelligence

AAAI 2009 Spring Symposium, March 23–25, 2009, Stanford University, Palo Alto, CA, USA

    Symposia:
    Intelligent Narrative Technologies II Learning by Reading and Learning to Read
    Social Semantic Web: Where Web 2.0 Meets Web 3.0

AAAI 2008 Spring Symposium, March 26–28, 2008, Stanford University, Palo Alto, CA, USA

    Symposia:
    Semantic Scientific Knowledge Integration
    Social Information Processing
    Symbiotic Relationships between Semantic Web and Knowledge Engineering

AAAI 2007 Fall Symposium, November 9-11, 2007, Arlington, VA, USA

    Symposia:
    Computational Approaches to Representation Change during Learning and Development
    Emergent Agents and Socialities: Social and Organizational Aspects of Intelligence
    Intelligent Narrative Technologies

AAAI 2007 Spring Symposium, March 26–28, 2007, Stanford University, Palo Alto, CA, USA

    Symposia:
    Control Mechanisms for Spatial Knowledge Processing in Cognitive / Intelligent Systems

AAAI 2006 Fall Symposium, October 13–15, 2006, Arlington, VA, USA

    Symposia:
    Semantic Web for Collaborative Knowledge Acquisition

AAAI 2006 Spring Symposium, March 27-29, 2006, Stanford University, Palo Alto, CA, USA

    Symposia:
    Semantic Web Meets e-Government

AAAI 2005 Fall Symposium, November 3-6, 2005, Arlington, VA, USA

    Symposia:
    Agents and the Semantic Web

AAAI 2005 Spring Symposium, March 21–23, 2005, Stanford University, Palo Alto, CA, USA

    Symposia:
    Knowledge Collection from Volunteer Contributors

AAAI 2004 Spring Symposium, March 22-24, 2004, Stanford University, Palo Alto, CA, USA

    Symposia:
    Knowledge Representation and Ontology for Autonomous Systems

AAAI 2003 Spring Symposium, March 24-26, 2003, Stanford University, Palo Alto, CA, USA

    Symposia:
    Agent-Mediated Knowledge Management (AMKM)
    Intelligent Multimedia Knowledge Management (IMKM)

AAAI 2002 Spring Symposium, March 25-27, 2002, Stanford University, Palo Alto, CA, USA

    Symposia:
    Collaborative Learning Agents
    Mining Answers from Texts and Knowledge Bases
    Safe Learning Agents

AAAI 2001 Spring Symposium, March 26-28, 2001, Stanford University, Palo Alto, CA, USA

    Symposia:
    Answer Set Programming: Towards Efficient and Scalable Knowledge Representation and Reasoning

AAAI 2000 Spring Symposium, March 20-22, 2000, Stanford University, Palo Alto, CA, USA

    Symposia:
    Bringing Knowledge to Business Processes

AAAI 1997 Fall Symposium, November 8–10, 1997, Massachusetts Institute of Technology, Cambridge, MA, USA

    Symposia:
    Context in Knowledge Representation (KR) and Natural Language (NL)

AAAI 1997 Spring Symposium, March 24-26, 1997, Stanford University, Palo Alto, CA, USA

    Symposia:
    Artificial Intelligence in Knowledge Management (AIKM)

AAAI 1996 Fall Symposium, November 9-11, 1996, Massachusetts Institute of Technology, Cambridge, MA, USA

    Symposia:
    Knowledge Representation Systems Based on Natural Language

    Co-located Conferences:
    International Conference on the Principles of Knowledge Representation and Reasoning (KR), Nov 5-8

AAAI 1996 Spring Symposium, March 25 – 27, 1996, Stanford University, Palo Alto, CA, USA

    Symposia:
    Acquisition, Learning and Demonstration: Automating Tasks for Users

AAAI 1995 Fall Symposium, November 10 – 12, 1995, Massachusetts Institute of Technology, Cambridge, MA, USA

    Symposia:
    Active Learning
    Adaptation of Knowledge for Reuse
    AI Applications in Knowledge Navigation and Retrieval

AAAI 1995 Spring Symposium, March 27 – 29, 1995, Stanford University, Palo Alto, CA, USA

    Symposia:
    Information Gathering from Heterogeneous, Distributed Environments

AAAI 1994 Fall Symposium, November 4–6, 1994, New Orleans, LA, USA

    Symposia:
    Knowledge Representation for Natural Language Processing in Implemented Systems
    Planning and Learning: On to Real Applications

AAAI 1992 Spring Symposium, March 25-27, 1992, Stanford University, Palo Alto, CA, USA

    Symposia:
    Cognitive Aspects of Knowledge Acquisition
    Knowledge Assimilation
    Propositional Knowledge Representation
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