NEW: "Best Social Impact Paper Award" funded by Samurai labs goes to Hiromi Narimatsu, Hiroaki Sugiyama, Masahiro Mizukami and Tsunehiro Arimoto for their paper "Rationale for Using Chat-Oriented Dialogue System’s Experience to Convey Empathy"! Congratulations!

A multidisciplinary workshop for researchers who develop more sophisticated dialog agents and methods for achieving more natural machine-generated conversation or study problems of human communication which are difficult to mimic algorithmically.

Six decades of failure to pass the Turing test by computers leads us to rethink previous approaches, lean towards new technologies and knowledge sources, and combine them with advances in philosophy, linguistics and cognitive science. We stress the fact that the age of information explosion and more powerful learning algorithms gives us a whole new spectrum of possibilities for creating an intelligent machine. Many marvelous ideas of the dawn of Artificial Intelligence research faced problems of exceptions and the impossibility of manual input of all needed knowledge, but today we have vast amounts of data from sensors, images and text so that we can rethink classical AI methods and approaches to dialog systems. The increased use of WWW, Internet of Things or knowledge bases, etc. could allow us to determine standard human behaviors, emotions or even moral reasoning according to the Wisdom of Crowds hypothesis. Collective input data could also help to retrieve knowledge about the physical world we live in. By combining Natural Language Processing methods with cognitive architectures and philosophy of mind, we can discover a new range of intelligent systems that understand us, our environment and our feelings. In this context, we see a role for NLP and cognitive approaches to play in developing a new generation of user- friendly, more autonomous but still safe systems that, through interaction with the user and the world, can learn how to reason, behave or speak naturally. We are interested in original papers on systems and ideas for systems that use common sense knowledge and reasoning, affective computing, cognitive methods, learning from broad sets of data and acquiring knowledge, or language and user preferences.

The workshop intends to spark an interdisciplinary discussion on joining forces to return AI to its original, broader and deeper goals which are currently represented by AGI – Artificial General Intelligence. In our opinion, these goals and their challenges are distinctly visible in dialog understanding and generation tasks.

After four successful LaCATODAs associated with Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB), International Association for Computing and Philosophy (IACAP) and IJCAI 2017/2018/2019 conferences, we will held another workshop under the IJCAI umbrella at Yokohama or Kyoto in January 2021.


How does (or could) your work improve Human-Computer Conversation?

The Sixth Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2020) is a workshop at IJCAI -PRICAI 2020, which will be held ONLINE.

Registration: LaCATODA 2020 is an integral part of the 29th International Joint Conference on Artificial Intelligence (IJCAI-PRICAI-20), please refer to the main conference site.

Relevant topics:

Affective computing
Agent-based information retrieval Attention and focus in dialog processing Artificial assistants and tutors
Common sense knowledge and reasoning Computational cognition
Conversational theories
Daily life dialog systems
Emotional intelligence simulations
Ethical reasoning
Humor processing
Language acquisition
Machine learning for / from dialogs
Text mining for / from dialogs
Philosophy of interaction / communication Preference models
Unlimited question answering
User modeling
Wisdom of Crowds approaches
World knowledge acquisition
Systems and approaches combining above topics


Samurai Labs