CoDi-1Bit: A Simplified Cellular Automata Based Neuron Model
نویسندگان
چکیده
This paper presents some simpliications to our recently introduced \CoDi-model", which we use to evolve Cellular Automata based neural network modules for ATR's artiicial brain project \CAM-Brain" 11]. The great advantage of CAs as a modeling medium, is their paral-lelism, which permits neural system simulation hardware based on CoDi to be scaled up without loss of speed. Simulation speed is crucial for systems using \evolutionary engineering" technologies, such as ATR's CAM-Brain Project, which aims to build/grow/evolve a billion neuron artiicial brain. The improvements in the CoDi model simplify it suu-ciently, so that it can be implemented in state of the art FPGAs (e.g. Xilinx's XC6264 chips). ATR is building an FPGA based Cellular Au-tomata Machine \CAM-Brain Machine (CBM)" 13], which includes circuits for neural module evolution and will simulate CoDi about 500 times faster than MIT's Cellular Automata Machine CAM-8 currently used at ATR.
منابع مشابه
"CoDi-1Bit" A CELLULAR AUTOMATA BASED NEURAL NET MODEL SIMPLE ENOUGH TO BE IMPLEMENTED IN EVOLVABLE HARDWARE
This paper presents details of a cellular automata based neural network model which is simple enough to be implementable in evolvable hardware, allowing the growth of neural nets in nanoseconds, and the evolution of neural nets in seconds. This model and the hardware tool based upon it, should enable the birth of a new research field, called "brain building" because it will become practical to ...
متن کاملATR's Artificial Brain ("CAM-Brain") Project: A Sample of What Individual "CoDi-1Bit" Model Evolved Neural Net Modules Can Do with Digital and Analog I/O
This work presents a sample of what evolved neural net circuit modules using the socalled "CoDi-1Bit" neural net model [5] can do. This work is part of an 8 year research project at ATR which aims to build an artificial brain containing a billion neurons by the year 2001, that will be used to control the behaviors of a kitten robot "Robokoneko" [2][3][4]. It looks as though the figure is more l...
متن کاملFacilitating Cellular-Automata-Based Computational Space for Parallel Multi-Agent Simulations
The multi-agent simulation is viewed as the interaction of agents, and is frequently applied for analyzing their selforganization in complex systems. To decide their next behavior, such agents generally access spatial information that needs to be not only made available to the agents in local but also diffused over an entire simulation space. As an efficient implementation of information diffus...
متن کاملA "Spike Interval Information Coding" Representation for ATR's CAM-Brain Machine (CBM)
This paper reports on ongoing attempts to nd an eecient and eeective representation for the binary signaling of ATR's CAM-Brain Machine (CBM), using the so-called "CoDi-1Bit" model. The CBM is an Field Programmable Gate Array (FPGA) based hardware accelerator which updates 3D cellular automata (CA) cells at the rate of 100 billion a second, allowing a complete run of a genetic algorithm with te...
متن کاملATR's Artificial Brain (CAM-Brain) Project: A Sample of What Individual CoDi-1Bit Model Evolved Neural Net Modules Can Do
This paper presents a sample of what evolved neural net circuit modules using the socalled ”CoDi-1Bit” neural net model can do. This work is part of an 8 year research project at ATR which aims to build an artificial brain containing a billion neurons by the year 2001, that will be used to control the behaviors of a kitten robot ”Robokoneko”. It looks as though the figure is more likely to be 4...
متن کامل