Title

Autobiography Based Prediction In A Situated Agi Agent

Keywords

Narratives; Prediction; Situated agent

Abstract

The ability to predict the unfolding of future events is an important feature of any situated AGI system. The most widely used approach is to create a model of the world, initialize it with the desired start state and use it to simulate possible future scenarios. In this paper we propose an alternative approach where there is no explicit model building involved. The agent memorizes its personal autobiography in an unprocessed narrative form. When a prediction is needed, the agent aligns story-lines from the autobiography with the current story, extends them into the future, then interprets them in the terms of the current events. We describe the implementation of this approach in the Xapagy cognitive architecture and present some experiments illustrating its operation. © 2014 Springer International Publishing.

Publication Date

1-1-2014

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

8598 LNAI

Number of Pages

11-20

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-319-09274-4_2

Socpus ID

84905827163 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84905827163

This document is currently not available here.

Share

COinS