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Human and artificial intelligence in the function of logistics
Ljudska i veštačka inteligencija u funkciji logistike
Abstract
There are different areas and potentials for applying artificial intelligence (AI) algorithms and tools in logistics. A wide set of AI tools and methodologies has found practical application in logistics: machine learning models (artificial neural net works, decision trees, clustering algorithms, etc.), metaheuristic algorithms (genetic algorithm, group intelligence-based algorithms, local search algorithms, etc.), and fuzzy systems. The application of AI is inevitably related to people, their work, awareness, behavior, and intelligence, it impacts their role in logistics, but it is also directly dependent on their decisions, intentions, characteristics, etc. This paper discusses the possibilities and prospects of applying AI tools in logistics that can discusses the possibilities and prospects of applying AI tools in logistics that can interact with human intelligence.
Sažetak
Postoje različite oblasti i potencijali primene algoritama i alata veštačke inteligencije u logistici. Veoma širok skup alata i metodologija veštačke inteligencije je pronašao praktičnu primenu u logistici: modeli mašinskog učenja (veštačke neuronske mreže, stabla odlučivanja, clustering algoritmi itd), metaheuristički algoritmi (genetski algoritam, algoritmi zasnovanih na inteligenciji grupe, algoritmi lokalne pretrage itd) i fuzzy sistemi. Primena veštačke inteligencije je u neizbežnoj vezi sa ljudima, njihovim radom, svešću, ponašanjem i inteligencijom, ima uticaj na njihovu ulogu u logistici, ali je i u neposrednoj zavisnosti od njihovih odluka, namera, osobina itd. U ovom radu razmatrane su mogućnosti i izgledi primene nekih alata veštačke inteligencije u logistici u kontekstu interakcije sa ljudskom inteligencijom.
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