Ijtimoiy tizimlarni multiagent modellashtirish orqali o‘rganish
Annotatsiya
Ushbu maqolada ijtimoiy tizimlarni multiagent modellashtirish orqali o‘rganish masalalari tahlil qilinadi. Multiagent tizimlar murakkab ijtimoiy jarayonlarni alohida agentlar (individlar, guruhlar yoki tashkilotlar) o‘zaro ta’siri asosida modellashtirish imkonini beradi. Maqolada agentlarning xulq-atvori, qaror qabul qilish mexanizmlari hamda ularning o‘zaro aloqalari orqali ijtimoiy tizimlarning shakllanishi va rivojlanish qonuniyatlari yoritiladi. Shuningdek, ijtimoiy jarayonlarni modellashtirishda qo‘llaniladigan asosiy usullar, algoritmlar va dasturiy vositalar ko‘rib chiqiladi. Tadqiqot natijalari multiagent modellashtirish yondashuvi ijtimoiy tizimlarni chuqurroq tushunish, prognozlash va boshqarishda samarali vosita ekanligini ko‘rsatadi.
Kalit so‘zlar: multiagent tizimlar, ijtimoiy tizimlar, modellashtirish, agent, o‘zaro ta’sir, xulq-atvor modeli, simulyatsiya, murakkab tizimlar, qaror qabul qilish, ijtimoiy jarayonlar, prognozlash, kompyuter modellashtirish.
Библиографические ссылки
1. Wooldridge M. — An Introduction to MultiAgent Systems, Wiley, 2009.
2. Ferber J. — Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence, Addison-Wesley, 1999.
3. Weiss G. (ed.) — Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, MIT Press, 2013.
4. Russell S., Norvig P. — Artificial Intelligence: A Modern Approach, Pearson, 2020.
5. Axelrod R. — The Complexity of Cooperation, Princeton University Press, 1997.
6. Epstein J. M., Axtell R. — Growing Artificial Societies, Brookings Institution Press, 1996.
7. Shoham Y., Leyton-Brown K. — Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Cambridge University Press, 2009.
8. Gilbert N., Troitzsch K. — Simulation for the Social Scientist, Open University Press, 2005.
