Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
80 tokens/sec
GPT-4o
59 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
7 tokens/sec
GPT-4.1 Pro
50 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

A novel agent-based simulation framework for sensing in complex adaptive environments (1708.05875v1)

Published 19 Aug 2017 in cs.NI, cs.AI, cs.MA, cs.SE, and nlin.AO

Abstract: In this paper we present a novel Formal Agent-Based Simulation framework (FABS). FABS uses formal specification as a means of clear description of wireless sensor networks (WSN) sensing a Complex Adaptive Environment. This specification model is then used to develop an agent-based model of both the wireless sensor network as well as the environment. As proof of concept, we demonstrate the application of FABS to a boids model of self-organized flocking of animals monitored by a random deployment of proximity sensors.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (2)
  1. Muaz A. Niazi (27 papers)
  2. Amir Hussain (75 papers)
Citations (87)