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
From Admission to Retention: Predicting Durable Offspring in Quality-Diversity Search
Corrado Calamita, Matteo Mendicini, Luca Ferrari et al.
Mobility-Aware Mobile Edge Computing for Energy-Balanced Data Collection in IoT-Enabled Underwater Sensor Networks
Nguyen Thi My Binh, Do Dinh Hoan, Tong Tien Manh et al.
Neural networks and games
Philip R. Neary
Refined CMA-ES for CEC 2026 Bound-Constrained Single-Objective Optimization
Adam Stelmaszczyk, Rafał Biedrzycki, Jarosław Arabas
HyVox: Rethinking Low-Power Voice Intelligence towards Neuromorphic-von Neumann Edge Computing
Snehasis Addy, Eduardo Calle Ortiz, Prashant Shenoy et al.
Exposure-Length Trade-off Optimization for Obstacle-Aware Intrusion Paths in Heterogeneous Wireless Sensor Networks
Nguyen Thi My Binh, Ho Viet Duc Luong, Nguyen Tuan Nghia et al.