دانلود کتاب هوش مصنوعی و بوم‌شناسی حیوانات

The advent of artificial intelligence (AI) has catalyzed rapid technological progress, driving advancements in complex problem-solving, optimization, and predictive modeling. In the realm of animal ecology, AI has emerged as a transformative tool, enabling detailed analyses of behavioral ecology, habitat utilization, conspecific and heterospecific interactions, and species’ adaptive mechanisms in response to environmental variability. AI’s computational frameworks are intrinsically linked to natural and ecological processes, drawing from the Darwinian principle of survival of the fittest. This interconnectedness reflects a dual approach: a bottom-up perspective, where ecological systems inspire AI development, and a top-down perspective, where AI deepens our understanding of ecological complexities and aids in the conservation
of biodiversity.
Artificial Intelligence and Animal Ecology: A Review, delves into this reciprocal relationship, illustrating how AI models are shaped by biological phenomena and, conversely, how AI enhances ecological research. The book spans diverse interdisciplinary domains, highlighting bio-inspired optimization methods—such as swarm intelligence, evolutionary computation, and predator-prey dynamics—alongside AI-driven ecological modeling and conservation strategies. Techniques like Genetic Algorithms, Particle Swarm Optimization, and Ant Colony Optimization replicate natural processes to improve ecological forecasting, species distribution modeling, and conservation planning.
Contributions from eminent researchers and ecologists provide critical insights into AI’s evolution through ecological principles and its application in solving real-world environmental challenges. The chapters explore AI’s role in replicating natural behaviors, interpreting species communication networks, understanding interspecific dynamics within fragmented habitats, and addressing ecological stressors in rapidly shifting environments. Additionally, the book examines advanced conservation technologies, predictive ecological models, and resilience strategies. It also projects future trends, positioning AI as a pivotal force in ecological science—offering innovative pathways for biodiversity preservation, ecosystem management, and sustaining ecological equilibrium amid accelerating global environmental change.