Ymir is the architecture, developed by Kristinn R. Thórisson (1996) at the MIT Media Lab as an architectural foundation for creating autonomous humanoid agents capable of real-time dialogue with human users. He is presently director of CADIA (Center for Analysis and Design of Intelligent Agents), an interdisciplinary research center in artificial intelligence spanning School of Computer Science, School of Science and Engineering and Department of Psychology at Reykjavik University (RU), Reykjavik, Iceland. Ymir homepage
Email: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра. | K.Thórisson's Homepage | See also AERA
Когнитивная архитектура Ymir разрабатывалась Кристинном Ториссоном (Kristinn R. Thórisson) (в 1995-1996 гг.) в лаборатории (MIT Media Lab) во время его работы над докторской диссертацией (Communicative Humanoids: A Computational Model of Psychosocial Dialogue Skills).
В настоящее время работа в этом направлении продолжается в Центре анализа и проектирования интеллектуальных агентов (CADIA - Center for Analysis and Design of Intelligent Agents), междисциплинарном центре по исследованиям в области искусственного интеллекта в университете Рейкьявика (Reykjavik University - RU), Рейкьявик, Исландия, а также в Исландском институте интеллектуальных машин (Icelandic Institute for Intelligent Machines - IIIM), независимом учреждении по исследованию искусственного интеллекта, робототехнике и моделированию (Смотри проект Когнитивная архитектура AERA).
Общие сведения
The primary focus of research was human cognition inspired artificial intelligence and the primary form of expression for it was - and is - human-like computer characters.
Ymir is a broad, generative model of psychosocial dialogue skills that bridges between multimodal perception, decision and multimodal action in a coherent framework. It represents a distributed, modular approach that can be used to create autonomous characters capable of full-duplex (i.e. the interaction is open-loop -- the exchange of information is not step-lock). multimodal perception and action generation (Thórisson, 1998, 1996).
Knowledge and experiences are represented using: Distributed modules with traditional Frames
Main components: Distributed heterogeneous module-based network, interacting via blackboards, realtime performance
Implementation: CommonLisp, C, C++, 8 networked computers, sensing hardware
Main general paradigms: Integrated behavior-based and classical AI; blackboards; distributed implementation
Publications
Publications page
For further information, see
1. Thórisson's selected publications and
2. Thórisson's thesis.
