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Business policy --- Informatiemanagement --- Kennismanagement --- Informatiemanagement. --- Kennismanagement. --- Knowledge management --- Congresses --- Knowledge acquisition (Expert systems) --- Research [Industrial ] --- Management --- Business networks --- Communication systems --- GESTION DES CONNAISSANCES --- RECHERCHE INDUSTRIELLE --- Acquisition des connaissances (systèmes experts) --- RESEAUX D'AFFAIRES --- Gestion des ressources informationnelles --- SYSTEME DE COMMUNICATION

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One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact of successful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain about the methods by which machines and humans might learn, significant progress has been made.

Cognitive psychology --- Artificial intelligence. Robotics. Simulation. Graphics --- Knowledge acquisition (Expert systems) --- Acquisition des connaissances (Systèmes experts) --- Knowledge acquisition (Expert systems). --- Engineering & Applied Sciences --- Computer Science --- Acquisition de la connaissance (Systèmes experts) --- Kennisverwerving (Expertsystemen) --- Acquisition des connaissances (Systèmes experts) --- Computer science. --- Artificial intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computer Science, general. --- Artificial Intelligence.

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Artificial intelligence --- Intelligence artificielle --- 681.3*I20 --- Artificial intelligence (AI) in general; cognitive simulation; philosophical foundations --- 681.3*I20 Artificial intelligence (AI) in general; cognitive simulation; philosophical foundations --- Artificial intelligence. --- Knowledge acquisition (Expert systems) --- Acquisition des connaissances (systèmes experts) --- Expert systems (Computer science) --- Systèmes experts (informatique) --- Machine learning. --- Apprentissage automatique.

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L’intelligence artificielle est désormais partout, et son développement semble ne connaître aucune limite. Pas un mois ne se passe sans qu’une frontière que l’on pensait insurmontable ne soit allègrement franchie. Plutôt que de se demander quelle sera la prochaine à être dépassée, ce livre interroge sur ce qui échappe, de manière profonde, à l’IA. Existe-t-il des bornes absolues, au-delà desquelles l’IA ne pourrait se rendre ? Des domaines de la vie qui lui seraient inaccessibles, comme l’amour, la colère, la pensée, la création, la rencontre, la signification ? Ou ces états sont-ils simplement des bornes contingentes, prêtes à être outrepassées grâce au flux de données et à la puissance des algorithmes d’apprentissage machine ? Mais peut-être que la distinction se joue encore ailleurs, non dans des domaines spécifiques, mais dans une certaine expérience du monde qui différerait fondamentalement entre l’humain et la machine. Pour répondre à ces questions, et afin de comprendre pourquoi nous tenons tant à déterminer des limites à l’intelligence artificielle, ce livre rassemble des contributions interdisciplinaires : recourant à la philosophie, aux sciences sociales et à l’informatique, il tente de donner un sens au sentiment d’étrangeté que nous ressentons face au développement fulgurant des dispositifs intelligents.

Intelligence artificielle --- Systèmes homme-machine --- Philosophie de la technique --- Société --- intelligence artificielle --- algorithme --- philosophie --- relation homme machine --- société --- Interaction humain-machine. --- Intelligence artificielle. --- Apprentissage automatique. --- Acquisition des connaissances (systèmes experts) --- Artificial intelligence. Robotics. Simulation. Graphics --- Mathematical linguistics --- Artificial intelligence --- Human-machine systems --- Social change --- Social aspects

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681.3*A0 --- 681.3*I20 --- General --- Artificial intelligence (AI) in general; cognitive simulation; philosophical foundations --- Artificial intelligence --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- 681.3*I20 Artificial intelligence (AI) in general; cognitive simulation; philosophical foundations --- 681.3*A0 General --- Artificial intelligence. --- Programmation système (informatique) --- Knowledge acquisition (Expert systems) --- Acquisition des connaissances (systèmes experts) --- Expert systems (Computer science) --- Systèmes experts (informatique) --- Machine learning. --- Apprentissage automatique. --- Acquisition des connaissances (systèmes experts) --- Systèmes experts (informatique)