Biologically Inspired Cognitive Architectures 2012 Proceedings of the Third Annual Meeting of the BICA Society /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Chella, Antonio. (Editor), Pirrone, Roberto. (Editor), Sorbello, Rosario. (Editor), Jh̤annsdt̤tir, Kamilla Rn͠. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Advances in Intelligent Systems and Computing, 196
• Subjects: Engineering.; Neurosciences.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-34274-5

The challenge of creating a real-life computational equivalent of the human mind requires that we better understand at a computational level how natural intelligent systems develop their cognitive and learning functions. In recent years, biologically inspired cognitive architectures have emerged as...

Table of Contents:

• Back to Basics and Forward to Novelty in Machine
• Characterizing and Assessing Human-like behavior in Cognitive
• Architects or Botanists? The relevance of (neuronal) trees to model
• Consciousness and the Quest for Sentient
• Biological uctuation Yuragi" as the principle of bio-inspired
• Active learning by selecting new training samples from unlabelled
• Biologically Inspired Beyond Neural. Bene ts of Multiple Modeling Levels
• Turing and de Finetti Ganes
• Machines making us.