How Brains Perceive the World

Area of Science:

• Artificial Intelligence
• Cognitive Science
• Robotics

Background:

• The nature of machine sentience, consciousness, and perception remains a significant scientific and philosophical question.
• Current AI research often focuses on narrow intelligence, lacking embodied experience and true understanding.
• Ethical considerations surrounding advanced AI and sentience require careful examination.

Purpose of the Study:

• To investigate a novel pathway toward achieving artificial general intelligence (AGI) in machines.
• To explore the potential for creating sentient artificial beings with consciousness and subjective experience.
• To address the ethical implications and potential dangers of developing embodied sentient machines.

Main Methods:

• Utilizing Darwinian evolutionary principles to generate complex artificial brains.
• Developing mobile robotic platforms capable of hosting and interacting with artificial brains.
• Integrating evolved artificial brains with robotic embodiments to foster sentient capabilities.

Main Results:

• The proposed methodology offers a potential route to AGI through evolutionary computation.
• Embodied AI, developed via evolution, may exhibit emergent properties akin to sentience.
• This approach necessitates a thorough ethical framework for responsible development.

Conclusions:

• Darwinian evolution presents a viable strategy for engineering artificial sentient machines.
• Embodied cognition is crucial for developing genuine machine consciousness and understanding.
• The pursuit of sentient AI demands proactive ethical deliberation and risk assessment.