Three dissimilar methodologies in the field of artificial intelligence (AI) appear to be following a common path toward biological authenticity. This trend could be expedited by using a common tool, artificial nervous systems (ANS), for recreating the biology underpinning all three. ANS would then represent a new paradigm for AI with application to many related fields
Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way bi...
This thesis examines bottom-up neurological methodology for creating biologically derived Artificial...
Artificial immune systems (AIS) can be defined as computational systems inspired by theoretical immu...
doi:10.1155/2010/629869Since its conception in the mid 1950s, artificial intelligence with its great...
Over the last decade, the artificial intelligence (AI) has undergone a revolution that is poised to ...
Abstract. Cognitivist approaches to the development of engineered systems having properties of auton...
New approaches to artificial intelligence spring from the idea that intelligence emerges as much fro...
Artificial Intelligence (AI) research covers two main topics in relation to complex systems. The fir...
open1noResearch relevant to this work has been supported by the Italian Ministry for Education, Univ...
The field of synthetic biology benefits significantly from the application of artificial intelligenc...
To achieve the artificial general intelligence (AGI),imitate the intelligence? or imitate the brain?...
The human brain is the best example of the unsurpassed interaction with the dynamic world. The most ...
Artificial neural networks are computational models of nervous systems. Natural organisms, however, ...
Emulating Connectomics, animal and artificial, to develop Biological Machine Intelligenc
the article discusses artificial intelligence (AI) at the present stage of development, as a way of ...
Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way bi...
This thesis examines bottom-up neurological methodology for creating biologically derived Artificial...
Artificial immune systems (AIS) can be defined as computational systems inspired by theoretical immu...
doi:10.1155/2010/629869Since its conception in the mid 1950s, artificial intelligence with its great...
Over the last decade, the artificial intelligence (AI) has undergone a revolution that is poised to ...
Abstract. Cognitivist approaches to the development of engineered systems having properties of auton...
New approaches to artificial intelligence spring from the idea that intelligence emerges as much fro...
Artificial Intelligence (AI) research covers two main topics in relation to complex systems. The fir...
open1noResearch relevant to this work has been supported by the Italian Ministry for Education, Univ...
The field of synthetic biology benefits significantly from the application of artificial intelligenc...
To achieve the artificial general intelligence (AGI),imitate the intelligence? or imitate the brain?...
The human brain is the best example of the unsurpassed interaction with the dynamic world. The most ...
Artificial neural networks are computational models of nervous systems. Natural organisms, however, ...
Emulating Connectomics, animal and artificial, to develop Biological Machine Intelligenc
the article discusses artificial intelligence (AI) at the present stage of development, as a way of ...
Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way bi...
This thesis examines bottom-up neurological methodology for creating biologically derived Artificial...
Artificial immune systems (AIS) can be defined as computational systems inspired by theoretical immu...
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