Molecular Robotics Ii: Toward Chemical Ai
 

This book proposes an innovative concept of chemical AI and discusses fundamental technologies, methods, and theories used for Molecular Cybernetics. Research on so-called "chemical artificial intelligence" (CAI) is an emerging field with the aim of constructing information-processing systems with learning capabilities based on chemical methodologies. This can be regarded as an attempt to reconstruct Cybernetics using molecular based systems. Many chemical reaction systems with computational abilities are proposed, but most are fixed functions that deliver molecular output for a given molecular input. On the other hand, chemical AI is a system with learning capability; namely, the output should be variable and gradually change upon repeated molecular inputs.
Toward "multicellular artificial cell systems" in Molecular Cybernetics, in this book, fundamental technologies, methods, and theories used for
(1) assembling CAI systems consisting of many liposomes with different functions (Liposome Assembling Technologies),
(2) achieving communication over two lipid-bilayer compartments (Molecular Communication),
(3) achieving recursiveness and plasticity in chemical reaction systems (Memory and Learning circuit), and
(4) reconfiguring the network topology by liposome deformation (Molecular Actuation) are accommodated.