학술논문

A Dynamic Knowledge Generation System for Cognitive Agents
Document Type
Conference
Source
2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) Tools with Artificial Intelligence (ICTAI), 2019 IEEE 31st International Conference on. :676-681 Nov, 2019
Subject
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
concept combination
Description Logics
Commonsense Reasoning
Language
ISSN
2375-0197
Abstract
In this work we describe a knowledge based system employed for the dynamic, goal-directed and creative generation of novel knowledge in cognitive agents. This system exploits arecently introduced extension of a Description Logic of typicality (TCL) able to combine prototypical (i.e. commonsense) descriptions of concepts. In particular: given a goal expressedas a set of properties, in case an intelligent agent cannot find a concept in its knowledge base able to fulfill these properties, our system exploits the Description Logic TCL in order to find at least two concepts whose creative combination allows to satisfy the goal. The knowledge base of the agent is then extended viaa mechanism of commonsense concept combination where theresulting combined concept represents the solution for the initialgoal. The proposed approach has been tested in the task of object composition and compared with the responses provided by the OROC system.