How the body shapes the way we think - a new view on intelligence

By Rolf Pfeifer, Josh C. Bongard. 2006

1,378 citations recorded by the source corpus.

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In Cognitive Neuroscience

Citations in the corpus

A Survey of Embodied AI: From Simulators to Research Tasks (2021, background): “While there have been several survey papers in the field of embodied AI [1, 12, 2], they are mostly outdated as they were published before the modern deep learning era, which started around 2009 [13, 14, 15, 16, 8].”
Mapping Information Flow in Sensorimotor Networks (2006, background): “causal influence of brain, body, and environment [47–51].”
Don't Forget Your Body: Mindfulness, Embodiment, and the Treatment of Depression (2012, background): “1991), artificial intelligence (Pfeifer and Bongard 2006), and linguistics (Lakoff and Johnson 1999) to express the notion that knowledge is embodied or grounded in bodily states and in the brain's modality-specific systems (for a review, see Niedenthal 2007; Niedenthal et al.”
Trends and challenges in robot manipulation (2019, background): “Furthermore, this idea can be studied systematically using morphological computation (52), in which compliant interactions allow adaptation of behavior to a particular context, without the need for explicit control.”
Enactive artificial intelligence: Investigating the systemic organization of life and mind (2009, methodology): “(Brooks 1997; cf. Brooks 2001) One of the reasons for this problematic situation is that current work in embodied AI does not in itself constitute an internally unified theoretical framework with clearly posed problems and methodologies (Pfeifer 1996; Pfeifer & Bongard 2007, p. 62).”
Self-Organization, Embodiment, and Biologically Inspired Robotics (2007, methodology): “…of parameters standing for length, diameter, types of joints, and material properties of the basic building blocks that can be used by evolution to build organisms ( 45 ), or results from a process of ontogenetic development ( 46 ) of body and brain basedonmodelsofgeneticregulatorynetworks( 1 ).”
Implicit and explicit representations (2009, neutral): “…modeling, we think that it is possible to avoid most modeling artifacts by us-ing a set of simple conditions that need to be enforced anytime and anywhere in the model: These conditions are not really something new and have been used more or less explicitly in a number of works ([8, 25, 16, 12]).”
Information Theory of Decisions and Actions (2011, background): “…and constraints for the self-organized formation of intelligent processing in living organisms — it is no surprise that the embodied intelligence perspective is adopted by many AI researchers (Pfeifer and Bongard 2007) which is intimately related to the perception-action cycle perspective.”