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[null,"1.","Record Nr.",null,"UNINA9910495793203321"]
[null,null,"Autore",null,"Vernant Denis"]
[null,null,"Titolo",null,"Dire pour faire : De la pragmatique à la praxéologie / / Denis Vernant"]
[null,null,"Pubbl/distr/stampa",null,"Grenoble, : UGA Éditions, 2021"]
[null,null,"ISBN",null,"2-37747-282-6"]
[null,null,"Descrizione fisica",null,"1 online resource (258 p.)"]
[null,null,"Soggetti",null,"Language &amp; Linguistics"]
[{"$nulls":4},"Linguistics"]
[{"$nulls":4},"jeu inférentiel"]
[{"$nulls":4},"abduction"]
[{"$nulls":4},"innovation technologique"]
[{"$nulls":4},"logique"]
[{"$nulls":4},"sémiotique"]
[{"$nulls":4},"sémantique"]
[{"$nulls":4},"linguistique du signifiant"]
[{"$nulls":4},"approche sémantico-pragmatique"]
[{"$nulls":4},"approche actionnelle"]
[{"$nulls":4},"raisonnement inductif"]
[{"$nulls":4},"raisonnement déductif"]
[{"$nulls":4},"analyse des dialogues"]
[{"$nulls":4},"finalité transactionnelle"]
[{"$nulls":4},"révolution nanotechnologique"]
[{"$nulls":4},"philosophie de l’action"]
[{"$nulls":4},"discours"]
[{"$nulls":4},"activité conjointe"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Le xxie siècle est celui de l’information, de la communication et de l’échange. Mais sait-on réellement ce qu’est un échange langagier ? Cet essai propose d’étudier en détail les différentes dimensions du dialogue, qu’il soit discussion savante ou conversation prosaïque.  Dans sa dimension pragmatique, la pratique dialogique se présente "]
[{"$nulls":4},"comme une activité conjointe, imprévisible et créatrice qui suppose notamment un décodage des informations fournies par le contexte au moyen de divers modes d’inférence (déductif, inductif, abductif, analogique). Toutefois, ce premier niveau s’avère tributaire d’un second, praxéologique, où se jouent les relations intersubjectives des partenaires ainsi que les enjeux et finalités transactionnelles qu’ils s’assignent conjointement dans le monde qu’ils construisent ensemble. Ce renversement praxéologique est illustré par l’analyse de la fable Le Corbeau et le Renard. Les conséquences idéologiques en sont établies sur le cas de la prétendue « éthique de la discussion » de Jürgen Habermas et sur celui de la « révolution nanotechnologique »."]
[null,"2.","Record Nr.",null,"UNINA9910576879803321"]
[null,null,"Autore",null,"Qiao Yongliang"]
[null,null,"Titolo",null,"Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming"]
[null,null,"Pubbl/distr/stampa",null,"Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022"]
[null,null,"Descrizione fisica",null,"1 electronic resource (228 p.)"]
[null,null,"Soggetti",null,"Technology: general issues"]
[{"$nulls":4},"History of engineering & technology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management."]