Body of Intelligence: A Response to Jennifer Herdt

2021 ◽  
pp. 095394682110504
Author(s):  
Harriet Harris
Keyword(s):  
Embodied Intelligence

This response to Jennifer Herdt’s paper, ‘Partisan Epistemology and Post-Truth Power’, looks to embodied intelligence for help in discerning integrity and truthfulness.

scholarly journals Embodied intelligence via learning and evolution

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Agrim Gupta ◽  
Silvio Savarese ◽  
Surya Ganguli ◽  
Li Fei-Fei
Keyword(s):  
Intelligent Control ◽  
Energy Efficient ◽  
Large Scale ◽  
Complex Environments ◽  
Environmental Complexity ◽  
Baldwin Effect ◽  
Computational Framework ◽  
Mechanistic Basis ◽  
Embodied Intelligence ◽  
And Control

AbstractThe intertwined processes of learning and evolution in complex environmental niches have resulted in a remarkable diversity of morphological forms. Moreover, many aspects of animal intelligence are deeply embodied in these evolved morphologies. However, the principles governing relations between environmental complexity, evolved morphology, and the learnability of intelligent control, remain elusive, because performing large-scale in silico experiments on evolution and learning is challenging. Here, we introduce Deep Evolutionary Reinforcement Learning (DERL): a computational framework which can evolve diverse agent morphologies to learn challenging locomotion and manipulation tasks in complex environments. Leveraging DERL we demonstrate several relations between environmental complexity, morphological intelligence and the learnability of control. First, environmental complexity fosters the evolution of morphological intelligence as quantified by the ability of a morphology to facilitate the learning of novel tasks. Second, we demonstrate a morphological Baldwin effect i.e., in our simulations evolution rapidly selects morphologies that learn faster, thereby enabling behaviors learned late in the lifetime of early ancestors to be expressed early in the descendants lifetime. Third, we suggest a mechanistic basis for the above relationships through the evolution of morphologies that are more physically stable and energy efficient, and can therefore facilitate learning and control.

Introduction

2019 ◽  
pp. 1-22
Author(s):  
David Cunning
Keyword(s):  
Sensory Perception ◽  
Natural World ◽  
Political Capital ◽  
Human Beings ◽  
Embodied Intelligence

This chapter is an introduction to the central philosophical views and arguments that Cavendish advances, and it also includes a brief biography. The chapter foreshadows Cavendish’s views, in part by quoting select texts in which she discusses, for example, the activity and intelligence that are ubiquitous in the natural world; the material nature of all creatures (including human beings and their thinking minds); God; the order, organization, and teleology of the natural world; the transfer of motion; sensory perception; embodied intelligence; conscious vs. unconscious thinking; ideas; causation; imagination; freedom; fame; gender; agency and authority; social and political capital; and the interdependence of creatures, among other topics.

scholarly journals Evolving embodied intelligence from materials to machines

2019 ◽  
Vol 1 (1) ◽  
pp. 12-19 ◽  
Author(s):  
David Howard ◽  
Agoston E. Eiben ◽  
Danielle Frances Kennedy ◽  
Jean-Baptiste Mouret ◽  
Philip Valencia ◽  
...  
Keyword(s):  
Embodied Intelligence

scholarly journals Deep Reinforcement Learning for Soft, Flexible Robots: Brief Review with Impending Challenges

Robotics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 4 ◽  
Author(s):  
Sarthak Bhagat ◽  
Hritwick Banerjee ◽  
Zion Ho Tse ◽  
Hongliang Ren
Keyword(s):  
Reinforcement Learning ◽  
Real World ◽  
Degrees Of Freedom ◽  
Review Article ◽  
Imitation Learning ◽  
Robotic Systems ◽  
Soft Robotics ◽  
Flexible Robots ◽  
Increasing Trend ◽  
Embodied Intelligence

The increasing trend of studying the innate softness of robotic structures and amalgamating it with the benefits of the extensive developments in the field of embodied intelligence has led to the sprouting of a relatively new yet rewarding sphere of technology in intelligent soft robotics. The fusion of deep reinforcement algorithms with soft bio-inspired structures positively directs to a fruitful prospect of designing completely self-sufficient agents that are capable of learning from observations collected from their environment. For soft robotic structures possessing countless degrees of freedom, it is at times not convenient to formulate mathematical models necessary for training a deep reinforcement learning (DRL) agent. Deploying current imitation learning algorithms on soft robotic systems has provided competent results. This review article posits an overview of various such algorithms along with instances of being applied to real-world scenarios, yielding frontier results. Brief descriptions highlight the various pristine branches of DRL research in soft robotics.

scholarly journals Soft Robotics and Embodied Intelligence

2017 ◽  
Vol 29 (5) ◽  
pp. 160-172
Author(s):  
Yuki NAKAGAWA ◽  
Akio ISHIGURO ◽  
Tetsuya OGATA ◽  
Riichiro TADAKUMA ◽  
Koh HOSODA
Keyword(s):  
Soft Robotics ◽  
Embodied Intelligence

scholarly journals Stretchable origami robotic arm with omnidirectional bending and twisting

2021 ◽  
Vol 118 (36) ◽  
pp. e2110023118
Author(s):  
Shuai Wu ◽  
Qiji Ze ◽  
Jize Dai ◽  
Nupur Udipi ◽  
Glaucio H. Paulino ◽  
...  
Keyword(s):  
Robotic Systems ◽  
Robotic Arm ◽  
Small Scale ◽  
Magnetic Actuation ◽  
Working Mechanism ◽  
Digit Number ◽  
Robotic Arms ◽  
Multiple Unit ◽  
Embodied Intelligence ◽  
Double Digit

Inspired by the embodied intelligence observed in octopus arms, we introduce magnetically controlled origami robotic arms based on Kresling patterns for multimodal deformations, including stretching, folding, omnidirectional bending, and twisting. The highly integrated motion of the robotic arms is attributed to inherent features of the reconfigurable Kresling unit, whose controllable bistable deploying/folding and omnidirectional bending are achieved through precise magnetic actuation. We investigate single- and multiple-unit robotic systems, the latter exhibiting higher biomimetic resemblance to octopus’ arms. We start from the single Kresling unit to delineate the working mechanism of the magnetic actuation for deploying/folding and bending. The two-unit Kresling assembly demonstrates the basic integrated motion that combines omnidirectional bending with deploying. The four-unit Kresling assembly constitutes a robotic arm with a larger omnidirectional bending angle and stretchability. With the foundation of the basic integrated motion, scalability of Kresling assemblies is demonstrated through distributed magnetic actuation of double-digit number of units, which enables robotic arms with sophisticated motions, such as continuous stretching and contracting, reconfigurable bending, and multiaxis twisting. Such complex motions allow for functions mimicking octopus arms that grasp and manipulate objects. The Kresling robotic arm with noncontact actuation provides a distinctive mechanism for applications that require synergistic robotic motions for navigation, sensing, and interaction with objects in environments with limited or constrained access. Based on small-scale Kresling robotic arms, miniaturized medical devices, such as tubes and catheters, can be developed in conjunction with endoscopy, intubation, and catheterization procedures using functionalities of object manipulation and motion under remote control.

Making Meaning in Computers

2007 ◽  
pp. 252-283 ◽  
Author(s):  
Bruce MacLennan
Keyword(s):  
Research Program ◽  
Mental States ◽  
Experimental Methodology ◽  
Scientific Methodology ◽  
Complex Environments ◽  
Making Meaning ◽  
Synthetic Agents ◽  
Embodied Intelligence ◽  
Comprehensive Research Program ◽  
Meaningful Communication

This chapter describes synthetic ethology, a scientific methodology in which we construct synthetic worlds in which synthetic agents evolve and become coupled to their environment. First we review the motivations for synthetic ethology as an experimental methodology and explain how it can be used to investigate intentionality and meaning, and the mechanisms from which they emerge, with a special emphasis on communication and language. Second, we present several examples of such experiments, in which genuine (i.e., not simulated) meaningful communication evolved in a population of simple agents. Finally, we discuss the extension of the synthetic ethology paradigm to the problems of structured communications and mental states, complex environments and embodied intelligence, and suggest one way in which this extension could be accomplished. Indeed, synthetic ethology offers a new tool in a comprehensive research program investigating the neuro-evolutionary basis of cognitive processes.

The Serious Gamer as Elite Athlete

Sport 2.0 ◽  
2017 ◽  
Author(s):  
Andy Miah
Keyword(s):  
Physical Activity ◽  
Computer Game ◽  
Game Playing ◽  
Sports Activity ◽  
Gaming Industry ◽  
Digital Gaming ◽  
Gaming Technology ◽  
Traditional Sports ◽  
Embodied Intelligence ◽  
Computer Culture

This chapter focuses on how the amateur athletic experience is being modified by digital technology and how should inform a re-evaluation of computer culture. It shows how digital gaming is becoming an integral part of the amateur sporting experience and discusses why the embodied intelligence of virtual gaming can provide a further mechanism through which to teach sports and to promote new forms of socialization. The chapter also considers the importance of ‘serious games,’ which have emerged as alternative forms of sports activity. These examples support the claim that gaming technology is becoming more sport-like, thus challenging the assumption that computer game playing necessarily leads to a more sedentary lifestyle. The rise of the e-sports gaming industry is indicative of this change, but so to is the growth of more informal digitally enabled communities of physical activity, as takes place in a range of mobile fitness experiences. This chapter also sets up the argument for framing the book through the idea of “Sport 2.0”, denoting an emerging sports community that is beginning to occupy the place of traditional sports and which has the potential to overtake it in numerous ways.

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