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Episode 16 14.03.2012
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Watch an expert rock climber study a wall they have never seen before, and you are watching the motor system think. Giovanni Pezzulo explains how the predictive brain reuses sensorimotor knowledge for problem solving, imagery, and understanding other minds.
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Pezzulo distinguishes two kinds of prediction that are often conflated in the literature. Implicit prediction, as in classical conditioning, attaches value labels to stimuli without maintaining an internal model of the predictive relationship. Explicit prediction builds structured forward models of environmental regularities that can be run offline for planning, decision-making, and mental simulation. The predictive brain hypothesis proposes that the brain systematically incorporates environmental structure into such models and uses them to drive perception, attention, and action selection proactively rather than reactively.
The interview centers on embodied problem solving, illustrated by competitive rock climbers who study an unfamiliar wall before ascending. Expert climbers visibly rehearse motor sequences, moving their arms to simulate grasps and reaches, using their bodies as external scaffolds for cognition. This is not mere motor programming: the climber must assemble partial skills in novel combinations, evaluate reachability constraints, and explore a vast space of possible routes, all guided by proprioceptive knowledge that only expertise provides. Memory experiments confirm that expert climbers remember difficult routes significantly better than novices, but only when the routes are actually climbable, demonstrating that motor expertise structures perception and memory rather than providing a generic cognitive advantage.
Pezzulo builds from individual action to social cognition through a series of escalating steps. If your motor system generates predictions about your own actions, it can also predict the actions of others by running the same forward models with different parameters. This simulation-based understanding of others bootstraps joint action planning, coordination, and eventually the ability to influence another person’s beliefs and intentions. Clinical evidence supports this continuum: patients with bilateral parietal lesions cannot inhibit imagined actions from becoming overt movements, and utilization behavior patients automatically grasp objects they see, revealing the tight coupling between internal simulation and motor execution that normally remains covert.
Tagged as:
embodied cognition Expert Climbers Forward Models Motor prediction predictive brain Problem Solving
About the author call_made
Both the triumphs of humanity and its most evil deeds have resulted from collaboration. In a time where humanity is required to aspire to the former and minimize the latter, the question arises of how collaboration arises and why it fails. Surprisingly, this phenomenon, so central to who we are, is not well understood. Hence, a collaborative effort is required to understand collaboration in its full biological, psychological, sociological, cultural, and economic complexity and to translate this understanding into operational impact. This series of podcasts is one step toward achieving these complementary goals. The Collaboration Podcast presents interviews with people who are central orchestrators of collaboration in various domains including business, government, science, art, health, sustainability, and the military. The discussions were conducted by Prof. Dr. Paul F.M.J. Verschure and members of the Program Advisory Committee of the Ernst Strungmann Forum on Collaboration (https://www.esforum.de/forums/ESF32_Collaboration.html) during 2021 and had the goal to sketch a map of opportunities, challenges, and obstacles in human collaboration. The forum took place in May 2022, and now we would like to share this series of interviews with a broader audience. The full report of the Forum will be published in 2023 by MIT Press. The podcast was produced by the Convergent Science Network (https://www.convergentsciencenetwork.org/). Context: The stability of social systems depends critically on realizing sustainable methods of “collaboration,” yet how and by which means collaboration is achieved is not clearly understood; neither are the conditions or processes that lead to its breakdown or failure. Collaboration can be understood as cooperation between agents toward mutually constructed goals. Part of the reason for our lack of understanding is that the phenomenon of collaboration is, by nature, a highly multidisciplinary problem, and effective research into its complexities has been difficult to achieve across the broad range of scientific and technical disciplines involved. The need for a fundamental understanding of collaboration, however, has become increasingly important. Not only does humankind demand answers as it attempts to address critical challenges at multiple scales (e.g., climate change, migration, enhanced automation, social and economic inequality), but ever-increasing technological and economic means of interconnecting people and societies are disrupting long-established, familiar patterns of how we interact. Radical technological changes that are ongoing have the potential to reshape collaboration in ways that are currently hard to predict or influence (e.g., by altering configurations in interaction, information creation, and modes of communication). On one hand, such changes could disrupt hitherto stable forms of collaboration by affecting critical communication channels and traditional roles, as can be observed in the rapidly changing patterns in governance, commerce, and social interaction. Conversely, technology could lead to the emergence of novel, successful forms of collaboration that deviate from traditional “hierarchical” architectures. Evidence of this can be seen in areas as diverse as highly automated manufacturing plants, the open science movement, collaborative software repositories, user-centered services, and the sharing of economy-based modes of organization. Without a fundamental understanding of the mechanisms, processes, and boundary conditions of collaboration, it is not possible to evaluate or predict which of these possible scenarios are sustainable or even plausible. The Forum “How Collaboration Arises and Why it Fails” (May 8–13, 2022, Location: Frankfurt am Main, Germany) Chairs: Andreas Roepstorff and Paul Verschure Program Advisory Committee: Jenna Bednar, Julia R. Lupp, Bhavani R. Rao , Andreas Roepstorff, Ferdinand von Siemens, and Paul Verschure
14.03.2012
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