Enhancing NetLogo to Simulate BDI Communicating Agents

Abstract

Abstract. The implementation process of complex agent and multiagent systems (AMAS) can benefit significantly from a simulation platform that would allow rapid prototyping and testing of initial design ideas and choices. Such a platform, should ideally have a small learning curve, easy implementation and visualisation of the AMAS under development, while preserving agent oriented programming characteristics that would allow to easily port the design choices to a fully-fledged agent development environment. However, these requirements make such a simulation platform an ideal learning tool as well. We argue that NetLogo meets most of the requirements that suit our criteria. In addition, we describe two extra NetLogo libraries, one for BDI-like agents and one for ACLlike communication that allow effortless development of goal-oriented agents, that communicate using FIPA-ACL messages. We present one simulation scenario that employs these libraries to provide an implementation in which agents cooperate under a Contract Net protocol.

Simulating the Fractional Reserve Banking using Agent-based Modelling with NetLogo

“…They are modelled in NetLogo, 2 a multi-agent programmable modelling environment [12], by following the BDI paradigm [13]. In other words, they are artificial agents with beliefs (B), desires (D), and intentions (I) that are defined using the NetLogo BDI add-on [14].…”

HLogo: A Parallel Haskell Variant of NetLogo

“…This success of ABM sprang off numerous frameworks to alleviate the development of agent-based models (Tobias and Hofmann, 2004;Railsback et al, 2006;Castle and Crooks, 2006). While research has been focused on the methodology (Salamon, 2011), ease of use (Wilkerson-Jerde and Wilensky, 2010), portability (Grimm et al, 2006) and expressiveness (Sakellariou et al, 2008) of agent-based models, little has been done in improving the performance of available ABM frameworks (Riley and Riley, 2003).…”

Wireless Mobile Computing Model Based on BDI and Memory Evolution Mechanism

“…In summary, in this paper, we put forward a kind of wireless mobile computing model WMCMAME (Wireless Mobile Compute Model based on Agent Memory Evolution) for embedded mobile devices, which combines intelligent BDI model (Shi and Xu, 2009;Kang and Shi, 1999;Raphael and Deloach,2000;Sakellariou and Kefalas, 2008;Huber, 1999) with memory evolution mechanism (Chen and Yao, 2013;Ho and Tay, 2007;Michalski, 2000), the next section will introduce detailed the design process of the model, and analyze the relative experiment.…”