Friends reunited? Evolutionary robotics and representational explanation

Area of Science:

• Robotics
• Artificial Life
• Philosophy of Mind

Background:

• The field of evolutionary robotics has evolved, moving away from early conflicts with representational explanations in artificial intelligence.
• A fragile rapprochement exists between artificial life robotics and representational theories of intelligence.

Purpose of the Study:

• To examine the challenges posed by evolutionary robotics to the necessity of internal representations for real-time intelligent action.
• To analyze the concepts of nontrivial causal spread and continuous reciprocal causation within embodied AI.

Main Methods:

• Philosophical analysis of core concepts in evolutionary robotics.
• Examination of causal relationships between system components and behavior generation.
• Argumentation regarding the validity of representational explanations in light of embodied intelligence.

Main Results:

• The challenge of nontrivial causal spread, where external factors explain adaptive behavior, can be countered.
• Continuous reciprocal causation, characterized by context-sensitive and time-variable component contributions, presents a more formidable challenge.
• The study highlights the limitations of purely representation-centric views of intelligence.

Conclusions:

• Evolutionary robotics continues to question the assumption that intelligent action necessitates internal representations.
• Continuous reciprocal causation significantly tests traditional representationalist frameworks in explaining complex behaviors.
• Further research is needed to reconcile embodied intelligence with representational theories.