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An Agent-Based Model (ABM) is a category of a computational model for investigating actions and interactions of autonomous agents. The concept behind an ABM is the observation of simultaneous and multiple interactions of agents or programmed instructed entities through simulated environments. In developing these simulated environments, predictions of emergent phenomena can be evaluated. With an ABM, macro or high-level system properties can emerge from lower-level system interactions. Moreover, large scale state changes will emerge from micro-scale agent behaviors generated from system-level interactions.  Such modeling techniques can be used to observe and evaluate new plant floor Machine-to-Machine (M2M) networked systems using Profibus or Modbus communication protocols. Also, thermodynamic materials properties of metals and plastics can be investigated using an ABM. In addition, NetLogo’s vast simulation library has an ABM of a Multilayer or Perceptron Artificial Neural Net ....

Seymour Papert , Arduino Uno , Northwestern University Center , Modeling Department , Media Lab , Uri Wilensky , Northwestern University , Connected Learning , Computer Based Modeling Department , Agent Based Model , Perceptron Artificial Neural Net , Arduino Extension , Physical Computing , அடுத்தினோ அநோ , வடமேற்கு பல்கலைக்கழகம் மையம் , மாடலிங் துறை , மீடியா ஆய்வகம் , யூரி விழெஞ்ஸ்க்கி , வடமேற்கு பல்கலைக்கழகம் , இணைக்கப்பட்டுள்ளது கற்றல் , கணினி அடிப்படையிலானது மாடலிங் துறை , அடுத்தினோ நீட்டிப்பு , உடல் கணினி ,