Since its inception, research in the field of Artificial Intelligence (AI) has had a fundamentally logical approach; therefore, discussions have taken place to establish a way of distinguishing symbolic AI from sub-symbolic AI, basing the approach instead on the statistical approaches typical of machine learning, deep learning or Bayesian networks [...
Artificial intelligence (AI) is an interdisciplinary subject in science and engineering that makes i...
International audienceThis special issue of the journal Synthese contains a selection of papers pres...
Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes them be iden...
This special issue is a collection of papers whose preliminary versions were submitted to the 18th I...
The need for neural-symbolic integration becomes apparent as more complex problems are tackled, and ...
There is a significant range of ongoing challenges in artificial intelligence (AI) dealing with reas...
Artificial Intelligence (AI) is widely acknowledged as a new kind of science that will bring about (...
Special Issue on Knowledge RepresentationInternational audienceThis special issue presents a selecti...
There is a broad consensus that both learning and reasoning are essential to achieve true artificial...
. Artificial intelligence has always been a controversial field of research, assaulted from without ...
Research in AI has built upon the tools and techniques of many different disciplines, including form...
© 2014 Elsevier Inc. Before presenting the contents of the special issue, we propose a structured in...
Together with the disruptive development of modern sub-symbolic approaches to artificial intelligenc...
AI researchers have long debated over the value of logic in knowledge representation. This article d...
International audienceBefore presenting the contents of the special issue, we propose a structured i...
Artificial intelligence (AI) is an interdisciplinary subject in science and engineering that makes i...
International audienceThis special issue of the journal Synthese contains a selection of papers pres...
Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes them be iden...
This special issue is a collection of papers whose preliminary versions were submitted to the 18th I...
The need for neural-symbolic integration becomes apparent as more complex problems are tackled, and ...
There is a significant range of ongoing challenges in artificial intelligence (AI) dealing with reas...
Artificial Intelligence (AI) is widely acknowledged as a new kind of science that will bring about (...
Special Issue on Knowledge RepresentationInternational audienceThis special issue presents a selecti...
There is a broad consensus that both learning and reasoning are essential to achieve true artificial...
. Artificial intelligence has always been a controversial field of research, assaulted from without ...
Research in AI has built upon the tools and techniques of many different disciplines, including form...
© 2014 Elsevier Inc. Before presenting the contents of the special issue, we propose a structured in...
Together with the disruptive development of modern sub-symbolic approaches to artificial intelligenc...
AI researchers have long debated over the value of logic in knowledge representation. This article d...
International audienceBefore presenting the contents of the special issue, we propose a structured i...
Artificial intelligence (AI) is an interdisciplinary subject in science and engineering that makes i...
International audienceThis special issue of the journal Synthese contains a selection of papers pres...
Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes them be iden...
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