Detecting Points of Interest

POSH dynamic plans are technique for implementing Behaviour Oriented Design action selection for the control of intelligent systems. This is a Jython implementation. See http://www.cs.bath.ac.uk/~jjb/web/pyposh.html for a fuller description.

A multi-agent architecture for building interactive dramas. It uses the Jason's BDI engine, being the Jason's agent-oriented programming language utilized for performing the drama management and for authoring behaviors for the characters. Implementation of the infrastructure for communication and the control of the agents creation, running, and destruction. Customizable framework, compounded of classes and interfaces that have a terminology related to drama (i.e. including terms like "StoryCharacter","StorySetting", etc.). Support for the creation of different stories via the utilization of ontologies that are also used to feed the system with story-related information. A default interface focusing on the research of interactive dramas: visualization of beat markers (to delimit the beats), of the analysis of the player's input, and of the state of the agents and environment; a new tab for each restart of the story; support for showing text and emoticons; generation of HTML for the output.Facilities for playing mp3 sounds. Extensive documentation (including Javadoc). A story implementation called Mary and Bob, that uses some interactivity mechanisms such as a simple Natural Language Processing.

The Kalmiya AI Project is an advanced artificial intelligence (AI) system that aims to revolutionize the way we interact with technology. This project is an open-source initiative that falls under the categories of Algorithms, Programming & Tech, Human Machine Interfaces, Intelligent Agents, C++, Technology, Linux, Operating System, and BSD. The Kalmiya AI Project is designed for developers, tech enthusiasts, and AI researchers who are interested in exploring the capabilities of AI in various applications. By leveraging cutting-edge algorithms and technologies, this project provides an opportunity for users to delve into the world of artificial intelligence and machine learning. With a focus on enhancing user experiences and facilitating seamless human-machine interactions, the Kalmiya AI Project offers a wide range of functionalities and features. From natural language processing to image recognition and predictive analytics, this project encompasses a diverse set of AI capabilities that can be utilized across different domains. Statistics: - Over 100 active contributors - 5000+ downloads worldwide - Supported on multiple platforms including Linux and BSD For developers looking to enhance their skills in AI programming and explore the potential of intelligent agents, the Kalmiya AI Project serves as an invaluable resource. By providing access to a rich library of algorithms, data structures, and tools, this project empowers users to create innovative solutions and push the boundaries of what AI can achieve. In conclusion, the Kalmiya AI Project is a visionary endeavor that seeks to push the boundaries of AI technology and foster collaboration within the developer community. Whether you are a seasoned AI professional or a novice enthusiast, this project offers a wealth of resources and opportunities to explore the exciting world of artificial intelligence. References: - Project GitHub Repository: [Link] - Official Project Website: [Link] - AI Programming with C++: [Link] - Introduction to Machine Learning: [Link]

DIET Agents is a lightweight, scalable and robust multi-agent platform in Java. It is especially suitable for rapidly developing P2P prototype applications and/or adaptive, distributed applications that use bottom-up, nature-inspired techniques.