Abstract — The best way to develop a truly intelligent system is to use the known properties of the only intelligent system that we know: humans. We have a great deal of understanding of neural function, a reasonable idea of overall brain topology, and a broad understanding of the emergent properties of this system. We are concentrating on developing simple neural models that can scale up to develop a cognitive architecture. Once this is done, we can concentrate on specialised modules akin to brain areas. Such a system can overcome the symbol-grounding and domain specificity problems that bedevil current AI systems
Abstract. Cognitivist approaches to the development of engineered systems having properties of auton...
Artificial Intelligence (AI) research covers two main topics in relation to complex systems. The fir...
This thesis examines bottom-up neurological methodology for creating biologically derived Artificial...
What can artificial intelligence learn from the cognitive sciences? We review some fundamental aspec...
Much of the recent hype around artificial intelligence stems from recent advances in Neural Networks...
Nowadays we are living in the age of computers, and we are systematically making our ...
abstract: The direction of artificial intelligence is one of the most important and popular topics o...
In this paper we present a developmental approach to- ward creating intelligent systems. Although em...
We can evaluate models of natural intelligence, as well as theirindividual components, by using a mo...
We really know of only a single intelligence abstraction approach that truly does work, the one base...
Artificial Intelligence refers to the development of intelligent machines that can perform tasks tha...
Despite the many advances of artificial intelligence (Al) technology, most notably in the area of ex...
Abstract This paper reviews the state of artificial intelligence (AI) and the quest to create genera...
The general objective of Artificial Intelligence (AI) is to make machines – particularly c...
In the last decades, the research in Artificial Intelligence (AI) has reached remarkable results in ...
Abstract. Cognitivist approaches to the development of engineered systems having properties of auton...
Artificial Intelligence (AI) research covers two main topics in relation to complex systems. The fir...
This thesis examines bottom-up neurological methodology for creating biologically derived Artificial...
What can artificial intelligence learn from the cognitive sciences? We review some fundamental aspec...
Much of the recent hype around artificial intelligence stems from recent advances in Neural Networks...
Nowadays we are living in the age of computers, and we are systematically making our ...
abstract: The direction of artificial intelligence is one of the most important and popular topics o...
In this paper we present a developmental approach to- ward creating intelligent systems. Although em...
We can evaluate models of natural intelligence, as well as theirindividual components, by using a mo...
We really know of only a single intelligence abstraction approach that truly does work, the one base...
Artificial Intelligence refers to the development of intelligent machines that can perform tasks tha...
Despite the many advances of artificial intelligence (Al) technology, most notably in the area of ex...
Abstract This paper reviews the state of artificial intelligence (AI) and the quest to create genera...
The general objective of Artificial Intelligence (AI) is to make machines – particularly c...
In the last decades, the research in Artificial Intelligence (AI) has reached remarkable results in ...
Abstract. Cognitivist approaches to the development of engineered systems having properties of auton...
Artificial Intelligence (AI) research covers two main topics in relation to complex systems. The fir...
This thesis examines bottom-up neurological methodology for creating biologically derived Artificial...