This volume is a guide to two types of transcendence of academic borders which seem necessary for understanding and modelling brain function. The first type is technical transcendence needed to make intelligent machines such as a humanoid robot, an animal-like behavior architecture, an interpreter of fiction, and an evolving learning machine. This technical erosion is conducted into areas such as biology, ethology, neuroscience and psychology, as well as robotics and soft computing. The second type of transcendence of cross-disciplinary boundaries cuts across scientific areas such as biology and cognitive science/philosophy, into comprehensive, less technical and more abstract aspects of brain function. These aspects enable us to know in what direction and how far an intelligent machine will go. Contents: Consideration of Emotion Model and Primitive Language of Robots (T Ogata & S Sugano); An Architecture for Animal-Like Behavior Selection (T Kitamura); A Computational Literary Theory: The Ultimate Products of the Brain/Mind Machine (A Tokosumi); Cooperation Between Neural Networks Within the Brain (M Dufoss(r) et al.); Brain-Like Functions in Evolving Connectionist Systems for On-Line, Knowledge-Based Learning (N Kasabov); Interrelationships, Communication, Semiotics, and Artificial Consciousness (H-N L Teodorescu); Time Emerges from Incomplete Clock, Based on Internal Measurement (Y-P Gunji et al.); The Logical Jump in Shell Changing in Hermit Crab and Tool Experiment in Ants (N Kitabayashi et al.); The Neurobiology of Semantics: How Can Machines be Designed to Have Meanings (W J Freeman); The Emergence of Contentful Experience (M H Bickhard); Intentionality and Foundations of Logic: A New Approach to Neurocomputation (G Basti). Readership: Graduate students, researchers and academics in robotics automated systems, biomedical engineering and bioengineering.