Search Results for "agent based"

...A centralized chaos management tool called chaos-center helps construct, schedule, and visualize Litmus chaos workflows. Made up of a chaos agent and multiple operators that execute & monitor the experiment within a defined target Kubernetes environment.

Physics Simulation Software based on user sketchs running a pattern recognition agent, this app is able to animate a physics sketch, from a blackboard

...Organized in four parts and 24 chapters, it covers the end-to-end workflow from data sourcing and model development to strategy backtesting and evaluation. Covers key aspects of data sourcing, financial feature engineering, and portfolio management. The design and evaluation of long-short strategies based on a broad range of ML algorithms, how to extract tradeable signals from financial text data like SEC filings, earnings call transcripts or financial news. Using deep learning models like CNN and RNN with financial and alternative data, and how to generate synthetic data with Generative Adversarial Networks, as well as training a trading agent using deep reinforcement learning.

...The flag is omitted from the examples here for brevity, but it should be used for real training and evaluation where performance matters. DeepMind Lab ships with an example random agent in python/random_agent.py which can be used as a starting point for implementing a learning agent.

Online Real Estate System (ORES) is web based Property Management Software that use to search, enter and edit property portfolios by Estate agents, customers or guests. ORES is beneficial to either a real estate agent or customers. This Property Management Software can be used to store and search the property portfolios. On the website, real estate agent can put the information regarding property portfolios.

The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have been under continuous development for over 20 years. Current source code and releases are hosted on Github https://repast.github.io/

The purpose of MoRe4ABM - Managing Ongoing RElationships for ABM - is to support representing and analysing social networks in agent-based modeling. The library provides a large number of network generators and a comprehensive framework for network and node level measures. It integrates well with Repast Simphony and uses the JUNG library. More4ABM furthermore supports initialisation of geographically explicit networks using GIS.

ParMa provides several ways to define and read parameter settings for ABM ant therefore facilitates the organisation of model parameter settings.

Web-controlled intelligent agents which interact with the Supply Chain Collaboration On-line Research Institute (http://www.sccori.com/sim/) supply chain simulation.

NetLogo is a software platform for agent-based modelling. Here we present an R extension of NetLogo. It adds new NetLogo primitives … New locations: R-Extension: http://r-ext.sourceforge.net Rserve-Extension: http://rserve-ext.sourceforge.net

An enhanced Simulator based on Agent Grid Repast.It has some bugs cleared from Agent Grid Repast and has enhanced features on Group Selection Policy.

QASE is a Java-based API designed to provide all the functionality needed to create game agents in Quake 2. Powerful enough to facilitate high-end research, it is also suitable for undergrad courses geared towards classic AI and agent-based systems.

SAgent86 is the Java code for a participant agent in the Agent Reputation and Trust (ART) Testbed 0.3.4.

ManyMinds is a java environment for building agent-based software. It is primarily for developing educational software (even more specifically, middle school inquiry science software). This software was developed with the support of the NSF and OERI

java-based complete Agent (Artificial Intelligence) Framework with all the features you might expect in an Agent Framework: Mobility, Autonomy, Distributed communication, Agents can be written in Java, Jython, or Beanshell.

The project is a case implemntation for a Multiple Agent Web Based System. The case is concerned with Teaching and Learning.

This is an education software intended to teach the basic data structures like staks, queues, trees and graphs. The software use an tutorial intelligent agent to keep track of the status of the student.