Rahwan et al. 2019 Machine Behaviour (Nature)

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• Rahwan et al. 2019 called for a new field 'machine behavior' in which best explanations of machines combine holistic methods from ethology, social sciences, and cognitive science.finding0.861
  Cited as the key precedent motivating the paper's framework
• Machine Behaviorframework0.829
  Emerging multidisciplinary field at interface of artificial life, machine learning, and synthetic bioengineering that provides updated understanding of machines.
• Modern machines are increasingly resistant to reductionist analysis and explanation.claim0.768
  Deep neural networks, swarms, and complex autonomous systems require holistic ethological and cognitive approaches.
• Tool for Behavior of Machines (TAME)framework0.761
  Implicitly referenced through Levin's broader research program on agents and machine behavior
• "It is certainly very hard, and perhaps impossible, for mere humans to anticipate and rule out in advance all the disastrous ways the machine could choose to achieve a specified objective."quote0.759
  Russell's statement opening Section 2 articulating the core motivation for the Contemplative AI approach
• Progress in machine behavior science and biohybrid engineering breaks down the simplistic dualism of life vs. machine, revealing a continuum of emergence, rational control, and agency.claim0.756
  Second central claim: life and machine form a continuous multidimensional space, not discrete bins
• What is an appropriate definition of 'machine,' and does it apply to all, some, or no living forms across the tree of life?question0.752
  Foundational definitional question motivating the entire paper
• What is an appropriate definition of machine, and does it apply to all, some, or no living forms?question0.747
  Central interrogative driving the paper's entire argumentative structure.