| Wildlife Ethology Through The Eyes Of Biomimicry |
| Paper ID : 1063-ISCH |
| Authors |
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Toka Eldakamawy *, Ola Hassan Elhabit, Rehab Essam ElHennamy Zoology and Entomology Department - Faculty of Science - Helwan University |
| Abstract |
| Introduction: Wildlife Ethology offers a broad understanding of how animals adapt, survive, and optimize interactions with their environment. These strategies, refined, can inspire solutions to human organizational and policy challenges. Objectives: This project introduces Behavioral Mimicry as a method to improve decision-making, reduce human–wildlife conflict, and expand the applied value of ethological research, while providing zoology students and biomimicry seekers with an open-source encyclopedia for wild animal behaviors. Materials and Methods: A structured database was built in Microsoft Excel using built-in tables and filters to enable cross-matching. Free AI models (ChatGPT, Gemini, DeepSeek) were used for tagging-keyword generation and theoretical model testing. A hypothetical scenario(reducing workflow redundancies in government offices with limited resources) was used to test the cross-matching process and refine model selection. Results: A database that includes 23 general categories, 56 subcategories, and 176 animal behaviors was built. The cross-matching process managed to identify two candidate models—lion pride cooperative hunting and V-formation bird flight, based on keywords used, and the AI simulation succeeded in selecting a preferred model offering feasible options within the scenario’s constraints. Further testing is needed to confirm consistency. Conclusion: With further development, the Ethology Cross-Matching Database could provide decision-makers with adaptive strategies to manage teams, allocate resources, and improve efficiency while reducing human–wildlife conflict. |
| Keywords |
| Wildlife Ethology, Biomimicry, Behavioral Models, Decision-Making, Strategy Optimization |
| Status: Abstract Accepted (Oral Presentation) |