Titlebook: Receptors in the Developing Nervous System; Volume 2 Neurotransm Ian S. Zagon,Patricia J. McLaughlin Book 1993 Springer Science+Business Me

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Ronald S. Duman,John D. Alvarohing critical areas such as medicine, autonomous vehicles, criminal justice, and financial markets. Such a trend is producing a growing AI-Human society entanglement. Thus, several concerns are raised around user acceptance of AI agents. Trust issues, mainly due to their lack of explainability, are

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Patricia M. Whitaker-Azmitiain the other. Changes in our understanding of how the human mind works inadvertently changes how we go about creating artificial minds. Similarly, successes and failures in AI can inspire new directions to be taken in cognitive science. This article explores the history of the mind in cognitive scie

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Than-Vinh Dam,Gail E. Handelmann,Rémi Quirionin the other. Changes in our understanding of how the human mind works inadvertently changes how we go about creating artificial minds. Similarly, successes and failures in AI can inspire new directions to be taken in cognitive science. This article explores the history of the mind in cognitive scie

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Angel Luis de Blasligned with the traditional view of human actors as rational agents that act to maximize their own utility function. For instance, humans often act sympathetically – i.e., they choose actions that serve others in disregard of their egoistic preferences. Even if there is no immediate benefit resultin

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Reinhard Schliebs,Thomas Rothegents often use Machine Learning (ML) for acquiring expertise, but traditional ML methods produce opaque results which are difficult to interpret. Hence, these autonomous agents should be able to explain their behaviour and decisions before they can be trusted by humans. This paper focuses on analyz

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