Paper Info
Title
A Dynamic Knowledge Generation System for Cognitive Agents
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 a recently introduced extension of a Description Logic of typicality (TCL) able to combine prototypical (i.e. commonsense) descriptions of concepts. In particular: given a goal expressed as 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 via a mechanism of commonsense concept combination where the resulting combined concept represents the solution for the initial goal. The proposed approach has been tested in the task of object composition and compared with the responses provided by the OROC system.
Year
DOI
Venue
2019
10.1109/ICTAI.2019.00099
2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)
Keywords
Field
DocType
concept combination,Description Logics,Commonsense Reasoning
Intelligent agent,Object composition,Computer science,Commonsense reasoning,Description logic,Knowledge-based systems,Artificial intelligence,Knowledge base,Cognition,Machine learning,Computational creativity
Conference
ISSN
ISBN
Citations 
1082-3409
978-1-7281-3799-5
0
PageRank 
References 
Authors
0.34
17
3
Name
Order
Citations
PageRank
Antonio Lieto120029.65
Gian Luca Pozzato239436.96
Federico Perrone311.37