Autonomous Agents Empowered by ML/AI Swarm Technology

Technologies

Autonomous Agents Empowered by ML/AI Swarm Technology:

Agents are programs or entities that operate with little or no human supervision. They initiate actions, construct plans, migrate to different locations, and communicate with other agents. Most importantly they can independently respond to events and adjust their behavior accordingly to accomplish goals. Well designed agents will have personality (and like a good waiter will intrude only when necessary) and remember training and tasks even if the user’s computer crashes or is turned off.

There are different classes of agents depending on the agent’s abilities: they may be static or mobile; react to events or not; work alone or with other agents; learn or be hardwired; autonomous or not.

Intelligent agents can solve several classes of problems. They simplify distributed computing, information retrieval, sorting and classification of data, and handle repetitious tasks for users. Agents have taken over many tasks people do not wish to do themselves, like scheduling appointments, answering email, sorting news group information, and getting the current news stories that match a person’s interest. As the agent learns more about its user it will become more useful.

Agents’ behavior and ability to solve problems may be either in the individual agent or the agent may serve as a dumb part of a group that can solve a problem. Agents that work as a part of a group form a more stable system and may be able to handle tasks not easily done by computers. Without a central intelligence the group may actually become stronger and smarter. This type of agent setup may scale up better than individual systems. Java and Python are the preferred languages for agents.

Autonomous Agents are destined to be the critical enabler for Decentralized Decision Making at IoT’s Edge.

The SwarmEdge™ is emulating the function of Nature’s Systems (e.g. swarms) that are driven by autonomous and distributed functioning intelligence. The following gives some technological highlights as well as an overview of this technology.

COLLECTIVE AWARENESS/ACTIONS: SwarmEdge™ provides a distinct technical advancement in the area of distributed artificial intelligence systems with a focus on collective awareness/actions. The fields of application are autonomous systems, machine learning, IoT and edge computing. These applications can be used in almost any industry and targeted applications. This is of particular importance in M2M Learning and AI.

UNINTERRUPTED DISTRIBUTED PROCESSING: SwarmEdge™’s patented architecture allows dynamic addition of processors for uninterrupted distributed processing and enables vendor-agnostic heterogeneous processing with any RF protocol by using proactive, dynamic configurable, skill-aware, autonomous agents that learn, share and circumvent centralized systems. This architecture harnesses minimal processing power, enables multi-agent artificial intelligence, facilitates dispersed computing, and provides intent-based automation at scale with ad hoc connectivity.

VERY CONDUCIVE TECHNOLOGY FOR EDGE-COMPUTING: One recent application is edge computing, where devices trade computational resources at the end of the network. SwarmEdge.API.4.IoT’s patented architecture demonstrates the machine learning and edge computing in this new model. Bluetronix patented and patent pending intellectual property covers: distributed processing, heterogeneous processing, swarm intelligence, and multiagent artificial intelligence using deep learning.

SwarmEdge™ SELF-FORMED SECURED NETWORKING: Autonomous Agents are bound to thrive in Networks that are self-formed among nodes with no need for routing tables (done by the use of dynamically changing tables of pheromone values for known/discovered neighbor mobile nodes.) All formed at a high level of encryption. These self-formed networks have immense scalability and can network with limited capability networks and augment their ability to scale up to the broader IoT. In view of these networking capabilities, the Edge can function without access to the Internet when necessary or desirable.

FLASH INSTALLABLE ALGORITHMIC CODE: TheSwarmEdge.API.4.IoT has been reduced to a minimal footprint algorithmic code. Its variations can be flash installed to the majority of smart sensors let alone mobile computers/tablets and PDA’s potentially after due non-recurring engineering.

While a large number of traditional engineering models and algorithms are focused on control and centralization, Natural Systems’ behavior (e.g. bees, ants, etc.) are primarily characterized by autonomy, self-organizing and distributed functioning. Natural systems teach us that very simple individual organisms can form systems capable of performing very complex tasks by dynamically interacting with each other. At the same time Cyber Security, IoT asset coordination, behavior predictions, and big data analysis all involve dealing with very complex systems made up of complex individuals generating large amounts of data. Solving problems in these fields requires a type of artificial intelligence that can understand and model the complexity and diversity of the systems and individuals involved in a distributed way at the Edge of the IoT.

It is this background that makes SwarmEdge™ a pivotal technology since it can address the above issues via its capabilities discussed briefly in the first half of this summary. The following outlines these capabilities in a more detailed manner:

  1. Has the innate ability of creating distributed intelligence by emulating the function of nature’s Swarms with very low infrastructure requirements and a low footprint code that can be installed on a variety of smart devices with limited CPU’s.
  2. Creates highly scalable Secure mobile Ad-Hoc Networks with SelfLearning/Forming/Healing across different operating systems while leveraging limited Networks.
  3. The blending of the above two capabilities creates an un-paralleled SwarmDriven AI Platform capable of meeting the commonly accepted prerequisites of AI (i.e. Perception, Learning, Knowledge, Reasoning, Ability to Move, Ability to Manipulate Objects, Natural Language -via Voice-over-Swarm.)
  4. Further, it is the Inventor’s position that that Swarm-T is capable of delivering Ad-Hoc Deep Learning for Machines via its ability to mine intelligence with Deep Neural Networks via its Swarm Driven AI Platform. An IoT inter-connected in a Self-Forming/Learning/Healing mode across different platforms as well as powered with its swarm-driven AI Platform is bound to deliver the visionaries’ expectations. SwarmEdge.API.4.IoT is the kind of technology that can become the driving force behind demanding applications like Car-2-Car and Car-2-X communications, IoT, IIoT and countless other applications. After all, it was designed and tested by DARPA to be worthy of facing the rigors of the battlefield. Additionally, it is capable of transmitting VoiceOver-Swarm, a critical application when access to remote cellular towers is not possible or extreme privacy is needed.

White papers on our products and technologies are available upon request. E-mail us at innovation@bluetronix.net or call 440.247.3434.