Spain

ECAI 2020

Actual Causality Canvas: A General Framework for Explanation-based Socio-Technical Constructs

causality reasoning

explainable ai

accountability

The 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2020) will be held October 26–28th virtually at The Netherlands Institute for Sound and Vision in Hilversum, The Netherlands.

While artificial intelligence (AI) and human-computer interaction (HCI) represent traditional mainstays of the conference, HCOMP believes strongly in fostering and promoting broad, interdisciplinary research. Our field is particularly unique in the diversity of disciplines it draws upon and contributes to, including human-centered qualitative studies and HCI design, social computing, artificial intelligence, economics, computational social science, digital humanities, policy, and ethics. We promote the exchange of advances in human computation and crowdsourcing not only among researchers, but also engineers and practitioners, to encourage dialogue across disciplines and communities of practice.

This year, we especially invite works that will generate new insights into the quality (or qualities) of human-annotated datasets, including elements such as reliability and replicability of human computation and crowdsourcing experiments, novel metrics for aggregation of results, and holistic approaches to deal with bias, fairness and interpretability.

HCOMP 2020

HCOMP believes strongly in fostering and promoting broad, interdisciplinary research. Our field is particularly unique in the diversity of disciplines it draws upon and contributes to, including human-centered qualitative studies and HCI design, social computing, artificial intelligence, economics, computational social science, digital humanities, policy, and ethics. 


technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

Entropy-based adaptive exploit-explore coefficient for Monte-Carlo path planning

"Semantic interpretation of dynamic visuospatial imagery calls for a general and systematic integration of methods in knowledge representation and computer vision. Towards this, we highlight research articulating and developing deep (visuospatial) semantics, characterised by the existence of declarative models –e.g., pertaining space and motion– and corresponding formalisation and reasoning methods supporting capabilities such as semantic question-answering, relational visuospatial learning, and (non-monotonic) visuospatial explanation. We position a working model for deep semantics by highlighting our select recent works from IJCAI 2019, AAAI 2018, and ILP 2016 & ACS 2018. 

We posit that human-centred, explainable visual sensemaking necessitates both high-level semantics and low-level visual computing, with the highlighted works providing a model for systematic, modular integration of diverse multifaceted techniques and perspectives from AI, ML, Vision, Visual Perception, and Spatial Cognition."

Cognitive Vision and Perception: Deep Semantics Integrating AI and Vision for (Declarative) Reasoning about Space, Action, and Motion

Deep learning applied to NILM : is data augmentation worth for energy disaggregation?

ASP-based Signal Plan Configuration for Traffic Flow Optimization

Machine Learning for Gas and Oil Exploration

Point-Of-Interest Semantic Tag Completion in a Global Crowdsourced Search-and-Discovery Database

Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering

Cross-Border Medical Research using Multi-Layered and Distributed Knowledge

Remaining Useful Life Curve Prediction of Rolling Bearings under Defect Progression Based on Hierarchical Bayesian Regression

KnowledgeCheckeR: Intelligent Techniques for Counteracting Forgetting

poster

https://d3smihljt9218e.cloudfront.net/transcript/1313/subtitle/b194474c7a68f4ccd877eeead35fa1c3.vtt

English (automatic)

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Entropy-based adaptive exploit-explore coefficient for Monte-Carlo path planning

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Socio-Technical Aspects

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Next from ECAI 2020

Entropy-based adaptive exploit-explore coefficient for Monte-Carlo path planning

Similar lecture

Socio-Technical Aspects

Downloads