Title
Symbolic Associations In Neural Network Activations: Representations In The Emergence Of Communication
Abstract
Representation has a fundamental role in Artificial Intelligence but there is still an open debate on basic issues on this subject. Particularly, there have been various studies on the emergence of communication and language in artificial agents, where the debate on representations underlying these processes should be significant, however not much discussion and studies have been done. We propose to identify and classify possible representational processes occurring during the emergence of communication, replicating a computational experiment previously proposed and evaluating neural network activations patterns. To define representation and its classes, including icons, indexes and symbols, we rely on the semiotics of Charles Sanders Peirce. Results show that symbolic associations are established during the evolution of artificial agents and such symbolic associations benefit adaptive success.
Year
Venue
Keywords
2015
2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
symbols, representations, neural network activation, communication, semiotics
Field
DocType
ISSN
Symbolic communication,Symbolic artificial intelligence,Semiotics,Cognitive science,Visualization,Computer science,Artificial intelligence,Artificial neural network,Machine learning
Conference
2161-4393
Citations 
PageRank 
References 
1
0.36
10
Authors
2
Name
Order
Citations
PageRank
Emerson Silva de Oliveira110.36
Angelo Loula2256.70