Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
System concept development with virtual prototyping
Proceedings of the 29th conference on Winter simulation
Advances in the Evolutionary Synthesis of Intelligent Agents
Advances in the Evolutionary Synthesis of Intelligent Agents
Genetic Programming IV: Routine Human-Competitive Machine Intelligence
Genetic Programming IV: Routine Human-Competitive Machine Intelligence
Embodied cognition: a field guide
Artificial Intelligence
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Systems Specification by Basic Protocols
Cybernetics and Systems Analysis
| Hi-index | 0.00 |
Based on the analysis of the morphogenesis process of real biological organisms, the basic principles are formulated for the simulation of genomic control of the morphogenesis of a virtual agent in a physically correct environment. A model of the genome of a compound agent's body composed of different functional subsystems is developed. A timing algorithm for genetically conditioned processes of regeneration and division of agent's microcells is developed. The problem of forming agents with a morphology that is locally optimal for a given environment is formulated as a multi-generation optimization problem in a genetic algorithm. The fitness function is defined as the life duration of agents. Constraints are connected with the physical correctness of an environment and an energy deficit in the environment. Agent genomes are considered as chromosomes in the genetic algorithm.