পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| এজেন্ট-ভিত্তিক ইন্টিজার প্রোগ্রামিং× | এজেন্ট-ভিত্তিক মডেলিং (ABM)× | |
|---|---|---|
| ক্ষেত্র | অনুকরণ | অনুকরণ |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1990s–2000s | 1970s–1990s (formalized as a field) |
| প্রবর্তক≠ | Emerged from multi-agent systems and operations research communities | Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s) |
| ধরন≠ | Hybrid simulation-optimization | Computational simulation method |
| মৌলিক উৎস≠ | Wooldridge, M. (2009). An Introduction to MultiAgent Systems (2nd ed.). Wiley. ISBN: 9780470519462 | Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. DOI ↗ |
| অপর নাম | ABIP, Agent-based IP, Multi-agent integer programming, ABM-IP | ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling |
| সম্পর্কিত≠ | 3 | 5 |
| সারসংক্ষেপ≠ | Agent-Based Integer Programming (ABIP) couples the behavioral richness of agent-based modeling with the combinatorial rigor of integer programming. Individual agents pursue local objectives while a global IP solver enforces discrete feasibility constraints, enabling realistic modeling of multi-actor systems where decisions must be integer-valued — such as resource allocation, scheduling, and network design under emergent interaction effects. | Agent-based modeling (ABM) is a computational simulation method, formalized through the work of Thomas Schelling and Robert Axelrod in the 1970s–1990s, that simulates the behavior of complex systems by specifying and running autonomous agents — individuals, firms, cells, or any bounded entity — whose local interactions with each other and with their environment collectively produce global, system-level patterns that could not be predicted from any single agent's rules alone. |
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