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A Logo interpreter and programming environment specialized for schools
A Logo interpreter and programming environment specialized for schools.
It is a revised version of XLogo, published on http://xlogo.tuxfamily.org/.
The Logo dialect is almost the same as Xlogo's, but some Logo commands were reimplemented to fit with the new programming environment and workspace. Some commands which were buggy in the original XLogo have been fixed. The interpreter works now more efficient due to the usage of more suitable data structures. The output of turtle graphics...
Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
This project presents a new version of LOGO programming language developed at MIT by Seymour Papert. This software was developed using Java and Java 3D.
Unified cloud-based platform for dialing, emailing, appointment scheduling, lead management and much more.
Adversus is an outbound dialing solution that helps you streamline your call strategies, automate manual processes, and provide valuable insights to improve your outbound workflows and efficiency.
Simple Logo is a small and very basic Logo interpreter intended to be used as an educational tool, to allow children to learn a simple programming language.
It is the primary goal of this project to develop an online LOGO utility using the standard JAVA AWT and Swing capabilities. The general implementation will be based on the UCBerkeley LOGO (UCBLOGO) which includes the graphical displays and LOGO intepre
SoftCo: Enterprise Invoice and P2P Automation Software
For companies that process over 20,000 invoices per year
SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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