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Erschienen in:
Computationalism in a Dynamic and Distributed Eco-Cognitive Perspective Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

4. Computational Domestication of Ignorant Entities

verfasst von : Lorenzo Magnani

Erschienen in: Eco-Cognitive Computationalism

Verlag: Springer International Publishing

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Abstract

In the first two chapters of this book we have stressed that eco-cognitive computationalism sees computation in context, following some of the main tenets advanced by the recent cognitive science views on embodied, situated, and distributed cognition. We have also described the new attention in computer science devoted to the relevance in computation of the morphological features. It is by further deepening and analyzing the perspective opened by these novel fascinating approach that we see ignorant bodies as domesticated to become useful “mimetic bodies” from a computational point of view.

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Vorheriges Kapitel AlphaGo, Locked Strategies, and Eco-cognitive Openness
Fußnoten
1
As I explained in chapter two of this book, the Physical Reservoir Computing (Physical RC) represents an interesting example of the novel perspective of morphological computation.
 
2
In the following section I will treat both non-living and living bodies as “ideally” ignorant because I am interested in the “active” exploitation of both entities to the aim of getting conventional and unconventional computational performances endowed with cognitive consequences.
 
3
Also Burgin and Dodig-Crnkovic (2015) present a rich taxonomy of existing notions of computation and propose to adopt an open-ended and evolving concept of computation that will be able to continuously absorb new insights from sciences.
 
4
Traditional classical studies that see life as cognition and cognition as life are due to Maturana and Varela (1980; 1987; 1988; 1979; 1997) as also emphasized by Stewart (1996).
 
5
I have provided further examples that illustrate the role played by cognition in animals and plants in chapter five of (Magnani 2009).
 
6
On the concept of “natural computing” and its variegated meanings see below Sect. 4.6.
 
7
A further note about these theories is illustrated in Sect. 4.7.1.
 
8
In chapter one of this book I have illustrated some fundamental concepts concerning distributed and embodied cognitive systems also describing the seminal ideas proposed by Hutchins (1995).
 
9
In subsection 4.4.2 below, I will exploit some Peircean concepts to explain how a physical computational system itself becomes a special domesticated actuator of semiosis.
 
10
Neural information processing is the whole research area with dedicated conferences, such as NeurIPS 2019, Thirty-third Conference on Neural Information Processing Systems [https://​neurips.​cc/​Conferences/​2019] and ICONIP2019, The 26th International Conference on Neural Information Processing [http://​ajiips.​com.​au/​iconip2019]. ICONIP2019 aimed in a very intellectual wide way at presenting professional research results and enthusiastic discussions among researchers, scientists, and industry professionals who are working in neural network, deep learning, and related bio-inspired computing fields. The theme of the conference was Human Centred Computing: use of human sensor data to predict or model human emotion, intentions, and goals with an overall aim to produce computer systems which are useful, usable, and sympathetic to users. Apart from the field of neural information processing/neural computation there is a whole field of material computing, active matter, programmable matter or similar.
 
11
I have proposed this expression in (Magnani 2001), for more details cf. footnote 18, chapter three.
 
12
The reasons that explain the adoption of this adjective, endowed with a moral halo, are illustrated below in this section.
 
13
Simplexity regards the possible complementary relationship between complexity and simplicity in the framework of a dynamic interplay between means and ends (cf. (Berthoz and Petit 2014)).
 
14
Cfr. also below, Sect. 4.7.
 
15
This paragraph has been motivated by an objection to a passage concerning computation and prediction of a previous article of mine by an anonymous reviewer.
 
16
The reader that is interested in the interplay Discrete State Machine (endowed with a Laplacian behavior) and continuous systems in computer science can refer to (Longo 2009a, b) and to my recent (Magnani 2018a, b).
 
17
Further details are illustrated in Sect. 2.​3.​5 of chapter two, this book.
 
18
More details are provided by (Müller and Hoffmann 2017, p. 3) and (Hauser et al. 2011, 2014).
 
19
On this issue, cf. also (Horsman et al. 2014, pp. 19–22).
 
20
On JVCI-syn3.0 as “a working approximation of a minimal cell” see (Hutchison et al. 2016, p. aad6253-1).
 
21
Indeed synthetic organisms are currently designed at the DNA level, which limits the complexity of the systems.
 
22
A 2018 AAAI Fall Symposium has been devoted to these studies: “Artificial Intelligence for Synthetic Biology”, October 18–20, 2018, Arlington, Virginia, USA. See also (Yaman et al., 2018).
 
23
Furthermore, on how dynamical systems in general “beyond the digital hegemony” store and process information as a fundamental question that touches a remarkably wide set of contemporary issues, cf. (Crutchfield et al ., 2010).
 
24
We also have to remember that important contributions of molecular computing also favored the understanding of some central issues of the nanosciences, for example self-assembly.
 
25
Pancomputationalism is also usefully discussed in the recent (Coelho Mollo, 2019) in the framework of an interesting and intricate comparison between the so-called “computational perspectivalism” and the mainstream accounts of physical computation, especially the teleologically-based mechanistic view.
 
26
I have treated in detail this problem in Magnani (2018a).
 
27
See for example my own book (Magnani 2007).
 
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Metadaten
Titel
Computational Domestication of Ignorant Entities
verfasst von
Lorenzo Magnani
Copyright-Jahr
2022
Buch
Eco-Cognitive Computationalism

Print ISBN: 978-3-030-81446-5

Electronic ISBN: 978-3-030-81447-2

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-3-030-81447-2_4

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