A Self-Replication Basis for Designing Complex Agents

In this work, we describe a self-replication-based mechanism for designing agents of increasing complexity. We demonstrate the validity of this approach by solving simple, standard evolutionary computation problems in simulation. In the context of these simulation results, we describe the fundamenta...

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Bibliographic Details
Published in:arXiv.org 2018-05
Main Author: Thommen, George Karimpanal
Format: Article
Language:English
Subjects:
Agents (artificial intelligence)
Complexity
Computer simulation
Evolutionary computation
Replication
Online Access:Get full text
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Summary:In this work, we describe a self-replication-based mechanism for designing agents of increasing complexity. We demonstrate the validity of this approach by solving simple, standard evolutionary computation problems in simulation. In the context of these simulation results, we describe the fundamental differences of this approach when compared to traditional approaches. Further, we highlight the possible advantages of applying this approach to the problem of designing complex artificial agents, along with the potential drawbacks and issues to be addressed in the future.
ISSN:2331-8422
DOI:10.48550/arxiv.1806.06010