Alife Model of Evolutionary Emergence of Purposeful Adaptive Behavior
Mikhail S. Burtsev, Vladimir G. Redko, Roman V. Gusarev
Abstract
The process of evolutionary emergence of purposeful adaptive behavior is investigated by means of computer simulations. The model proposed implies that there is an evolving population of simple agents, which have two natural needs: energy and reproduction. Any need is characterized quantitatively by a corresponding motivation. Motivations determine goal-directed behavior of agents. The model demonstrates that purposeful behavior does emerge in the simulated evolutionary processes. Emergence of purposefulness is accompanied by origin of a simple hierarchy in the control system of agents.
Create a lesson
Related papers
Position Paper: Neurotransmitters as a Missing Dimension in Artificial Neural Networks
Yupei Li, Manuel Milling, Berrak Sisman et al.
A Metaheuristic Optimization Framework for Discrete Optimization under Strict Time Limits
Umut Çalıkyılmaz, Nitin Nayak, Sven Groppe
Benchmarking Tabular Foundation Models as Surrogates in Expensive Evolutionary Optimization
Lu Han, Jin Wang, Yuchen Li et al.
A Spatiotemporal Extension of the Neuromorphic DBSCAN Implementation
Charles P. Rizzo, James S. Plank
Machine Zygote: Causal Biparental Heredity Before Learning in a Germline--Soma Artificial Agent
Lyes Saad Saoud
Bio-Inspired Palette Evolution in Indirectly Encoded Substrates: Timescale Compatibility Shapes Activation Function Discovery
Romain Claret, Michael O'Neill, Paul Cotofrei et al.