<TitleType>01</TitleType> <TitleText textcase="02">Biological Systems from a Network Perspective</TitleText>

Presses universitaires Namur onixsuitesupport@onixsuite.com 20260515 eng

COM.ONIXSUITE.9782390290988 03 01 Presses universitaires Namur 02 2390290981 03 9782390290988 15 9782390290988 DG 002 <TitleType>01</TitleType> <TitleText textcase="02">Biological Systems from a Network Perspective</TitleText> 01 GCOI 99993100953220 1 B16 Timoteo Carletti Carletti, Timoteo Timoteo Carletti Timoteo Carletti est professeur titulaire au Département de Mathématiques de l'Université de Namur (Belgique), membre actif de l'Institut des Systèmes Complexes de Namur, naXys, et directeur de ce dernier en 2010-2014. Spécialiste des aspects dynamiques des systèmes complexes, ses publications couvrent des domaines aussi variés que : biologie, mécanique céleste, détection du chaos, réseaux complexes, contrôle des systèmes, systèmes dynamiques, économie, accélérateurs de particules, dynamique sociale. Après une maîtrise en physique (Université de Florence, 1995), Timoteo Carletti a poursuivi ses études doctorales à Florence (Italie) et à Paris (France) à l'IMCEE, et a finalement soutenu sa thèse de doctorat en mathématiques en février 2000. 2 B16 Roland Cazalis Cazalis, Roland Roland Cazalis Roland Cazalis est actuellement chargé de cours et chercheur au Département " Sciences, Philosophies, Sociétés "de l'Université de Namur (Belgique), et chargé de cours aux Facultés Jésuites de Paris (France). Auparavant, il a travaillé et fait des recherches à l'Ecole d'Ingénieurs Purpan de l'Institut National Polytechnique de Toulouse (France). Dans son travail, il se concentre sur la biochimie végétale, la biomathérapie, la science et la théologie. Il a obtenu son doctorat en biochimie à l'Université de Grenade, Espagne, en 1999, et son doctorat en théologie à l'Université de Louvain-la-Neuve, Belgique, en 2016. 3 B16 Ron Cottam Cottam, Ron Ron Cottam Ronald Cottam dirige le projet Systèmes vivants du Département d'électronique et d'informatique de la Vrije Universiteit Brussel. Le projet a été mis en place en 1991 avec une durée de vie prévue de 30 ans, pour arriver à une conclusion à peu près au moment où la loi de Moore s'épuisera finalement. Il met l'accent sur les techniques de calcul numérique post-unique liées au double codage analogique-numérique des systèmes vivants et au traitement biologique de l'information. L'objectif à long terme est de créer des TIC vivantes et conscientes, d'abord par la mise en œuvre de processus réalistes dans le cadre des contraintes de la technologie actuelle et à venir. 1 01 eng 07 204 03 26 1 SCI000000 29 2012 3051 SCIENCES FONDAMENTALES 20 Réseau;Systèmes biologiques 01 06 Tout public intéressé par la question. 01 This collection of essays offers an analysis of issues that biological systems raise from a network perspective. It brings together scholars from biology, neuroscience, process philosophy, computer science and mathematics to explore this theme. As a whole, the contributors highlight the depth of the nexial dimension of biological systems, from the molecular to the organic scales, as well as the social and cultural levels. The flexibility of these systems enables them to reuse modules in order to generate new skills that will characterize a given species. One type of network has become the source of inspiration for the development of deep learning. This result opens the prospect that other types of biological systems may inspire innovations in artificial intelligence. Here, the purpose of common good could lead the path to some sort of enlightened conciliation and Solomonic wisdom that would help buttress and foster these future developments. 03 This collection of essays offers an analysis of issues that biological systems raise from a network perspective. It brings together scholars from biology, neuroscience, process philosophy, computer science and mathematics to explore this theme. As a whole, the contributors highlight the depth of the nexial dimension of biological systems, from the molecular to the organic scales, as well as the social and cultural levels. The flexibility of these systems enables them to reuse modules in order to generate new skills that will characterize a given species. One type of network has become the source of inspiration for the development of deep learning. This result opens the prospect that other types of biological systems may inspire innovations in artificial intelligence. Here, the purpose of common good could lead the path to some sort of enlightened conciliation and Solomonic wisdom that would help buttress and foster these future developments. 02 This collection of essays offers an analysis of issues that biological systems raise from a network perspective. It brings together scholars from biology, neuroscience, process philosophy, computer science and mathematics to explore this theme. 01 <style type="text/css">p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Garamond} </style> This collection of essays offers an analysis of issues that biological systems raise from a network perspective. It brings together scholars from biology, neuroscience, process philosophy, computer science and mathematics to explore this theme. As a whole, the contributors highlight the depth of the nexial dimension of biological systems, from the molecular to the organic scales, as well as the social and cultural levels. The flexibility of these systems enables them to reuse modules in order to generate new skills that will characterize a given species. One type of network has become the source of inspiration for the development of deep learning. This result opens the prospect that other types of biological systems may inspire innovations in artificial intelligence. Here, the purpose of common good could lead the path to some sort of enlightened conciliation and Solomonic wisdom that would help buttress and foster these future developments. 03 <style type="text/css">p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Garamond} </style> This collection of essays offers an analysis of issues that biological systems raise from a network perspective. It brings together scholars from biology, neuroscience, process philosophy, computer science and mathematics to explore this theme. As a whole, the contributors highlight the depth of the nexial dimension of biological systems, from the molecular to the organic scales, as well as the social and cultural levels. The flexibility of these systems enables them to reuse modules in order to generate new skills that will characterize a given species. One type of network has become the source of inspiration for the development of deep learning. This result opens the prospect that other types of biological systems may inspire innovations in artificial intelligence. Here, the purpose of common good could lead the path to some sort of enlightened conciliation and Solomonic wisdom that would help buttress and foster these future developments. 02 This collection of essays offers an analysis of issues that biological systems raise from a network perspective. It brings together scholars from biology, neuroscience, process philosophy, computer science and mathematics to explore this theme. 01 This collection of essays offers an analysis of issues that biological systems raise from a network perspective. It brings together scholars from biology, neuroscience, process philosophy, computer science and mathematics to explore this theme. As a whole, the contributors highlight the depth of the nexial dimension of biological systems, from the molecular to the organic scales, as well as the social and cultural levels. The flexibility of these systems enables them to reuse modules in order to generate new skills that will characterize a given species. One type of network has become the source of inspiration for the development of deep learning. This result opens the prospect that other types of biological systems may inspire innovations in artificial intelligence. Here, the purpose of common good could lead the path to some sort of enlightened conciliation and Solomonic wisdom that would help buttress and foster these future developments. 03 This collection of essays offers an analysis of issues that biological systems raise from a network perspective. It brings together scholars from biology, neuroscience, process philosophy, computer science and mathematics to explore this theme. As a whole, the contributors highlight the depth of the nexial dimension of biological systems, from the molecular to the organic scales, as well as the social and cultural levels. The flexibility of these systems enables them to reuse modules in order to generate new skills that will characterize a given species. One type of network has become the source of inspiration for the development of deep learning. This result opens the prospect that other types of biological systems may inspire innovations in artificial intelligence. Here, the purpose of common good could lead the path to some sort of enlightened conciliation and Solomonic wisdom that would help buttress and foster these future developments. 02 This collection of essays offers an analysis of issues that biological systems raise from a network perspective. It brings together scholars from biology, neuroscience, process philosophy, computer science and mathematics to explore this theme. 04 <ol> <li> The Informational Guidance of TranscriptionalNetworks: From Prokaryotes to Eukaryotes - Irene Retuerta, Jorge Navarro, Pedro C. Marijuán, and Raquel del Moral </li> <li> Mycorrhizas: Plant-Fungus Mutualistic Symbioses,Fundamental for Plant Nutrition and Defense, and for Ecosystem Performance, asViewed from a Network Perspective - José-Miguel Barea and Concepción Azcón- Aguilar </li> <li> Cultural Neural Reuse, Re-deployed Brain Networks, and Homologous Cultural Patterns of Compassion -Margaret Boone Rappaport and Christopher Corbally </li> <li> System and Network as Foundational Metaphors for a New Philosophical Cosmology -Joseph A. Bracken, S.J </li> <li> Biological Networks from the Relational BiologyPerspective -Nathanaël Laurent </li> <li> The Tokenization of Everything through the Peaq Protocol -Norbert Gehrke and Max Thakeb </li> <li> What Can Qualia Networks Do for Deep Neural Networks? -Roland Cazalis </li> </ol> 06 03 01 https://www.pun.be/resources/titles/99993100953220/images/2421fcb1263b9530df88f7f002e78ea5/HIGHQ/9782390290988.jpg 20191114 07 03 01 https://www.pun.be/resources/titles/99993100953220/images/2421fcb1263b9530df88f7f002e78ea5/THUMBNAIL/9782390290988.jpg 20191114 02 https://www.pun.be/livre/?GCOI=99993100953220 06 3052870370018 Presses universitaires de Namur 01 06 3052870370018 Presses universitaires de Namur Namur BE 04 20191120 2019 01 WORLD 06 3012405004818 CIACO - DUC 33 www.i6doc.com http://www.i6doc.com 12 WORLD 20 04 00 02 02 STD 02 21.00 EUR FI S 24.00 16.94 4.06 04 00 02 02 STD 02 21.00 EUR GR S 24.00 16.94 4.06 04 00 02 02 STD 02 21.00 EUR IE S 23.00 17.07 3.93 04 00 02 02 STD 02 21.00 EUR PT S 23.00 17.07 3.93 04 00 02 02 STD 02 21.00 EUR SI S 22.00 17.21 3.79 04 00 02 02 STD 02 21.00 EUR NL S 21.00 17.36 3.64 04 00 02 02 STD 02 21.00 EUR LV S 21.00 17.36 3.64 04 00 02 02 STD 02 21.00 EUR LT S 21.00 17.36 3.64 04 00 02 02 STD 02 21.00 EUR ES S 21.00 17.36 3.64 04 00 02 02 STD 02 21.00 EUR EE S 20.00 17.50 3.50 04 00 02 02 STD 02 21.00 EUR AT S 20.00 17.50 3.50 04 00 02 02 STD 02 21.00 EUR MC S 20.00 17.50 3.50 04 00 02 02 STD 02 21.00 EUR SK S 20.00 17.50 3.50 04 00 02 02 STD 02 21.00 EUR CY S 19.00 17.65 3.35 04 00 02 02 STD 02 21.00 EUR DE S 19.00 17.65 3.35 04 00 02 02 STD 02 21.00 EUR GP S 8.50 19.35 1.65 04 00 02 02 STD 02 21.00 EUR MQ S 8.50 19.35 1.65 04 00 02 02 STD 02 21.00 EUR RE S 8.50 19.35 1.65 02 00 02 02 STD 02 21.00 EUR BE R 6.00 19.81 1.19 04 00 02 02 STD 02 21.00 EUR FR R 5.50 19.91 1.09 04 00 02 02 STD 02 21.00 EUR IT R 4.00 20.19 0.81 04 00 02 02 STD 02 21.00 EUR LU R 3.00 20.39 0.61 03 00 02 02 STD 02 21.00 EUR MT 03 00 02 02 STD 02 21.00 EUR WORLD AT BE CY EE FI FR DE GR GP IE IT LV LT LU MT MQ MC NL PT RE SK SI ES