How to make artificial agents more like natural agents.

Area of Science:

• Evolutionary biology
• Artificial intelligence
• Cognitive science

Background:

• The development of artificial intelligence (AI) aims to replicate human-like cognitive abilities.
• Understanding the evolutionary trajectory of biological agents may provide novel frameworks for AI.
• Previous research highlights distinct stages in the evolution of agent capabilities.

Purpose of the Study:

• To explore how the study of biological evolution can inform the creation of more human-like artificial intelligence.
• To investigate the series of agentive architectures that emerged along the evolutionary path to humans.
• To understand the role of shared agency and linguistic communication in human evolution.

Main Methods:

• Comparative analysis of agentive architectures across species.
• Review of evolutionary biology literature on cognitive development.
• Examination of the emergence of complex behaviors and communication.

Main Results:

• Biological agents evolved through qualitatively distinct stages of increasing complexity.
• Human evolution involved the development of sophisticated, shared agencies.
• Linguistic communication played a key role in coordinating human shared agencies.

Conclusions:

• The evolutionary history of biological agents provides a potential roadmap for AI development.
• Complex agent architectures and coordinated communication are key features for human-like AI.
• Further research into evolutionary principles can enhance AI's human-like qualities.