|Cougaar Software, Inc. Overview
Since 2001, Cougaar Software, Inc. (CSI) has leveraged Cognitive Computing technology to reduce complex problems and improve our clients’ decision making. Whether on the battlefield or in the boardroom, today’s leaders are inundated by a deluge of data.
|Intelligent Agents 101
This ‘agents for managers’ paper provides a high level introduction to intelligent agents and how they can be used as the foundation of intelligent systems.
|The Power of Agents
A short white paper discussing the power of agent technology for planning, reasoning, and decision support.
|Adaptive Planning Framework
This excerpt from Conquering Complexity (Springer, 2012) describes the Adaptive Planning Framework that is used for a full range of planning functions. The Adaptive Planning Framework is designed to provide a rich, flexible suite of tools to support of a broad set of users and roles that can be tailored to the specific organizational needs which will cover the full range of planning functions from initial planning through execution assessment. These tools should support deep, multi-faceted collaborative analysis and planning, and can work together with other tools to form complex, adaptive process chains.
|Cognitive Framework for Reasoning
This excerpt from Conquering Complexity (Springer, 2012) details the Cognitive Framework that captures the various activities that humans do when they observe, reason, plan, and act. A foundational concept for distributed agent-based system design is to have each agent perform a small logical part of the functionality so that their collective behavior satisfies the requirements for the system. Because each agent has a focused role in the system, changes required for adaptation can be localized to a small part of the system without disrupting the rest. (This is in contrast to a monolithic system that requires human intervention to shut down the system and code changes each time the system requires modification.)
|Conquering Complexity–Agents and Emergent Behavior
This excerpt from Conquering Complexity (Springer, 2012) describes agents and the emergent behavior observed in agent architectures. New technologies continually emerge and mature as people, organizations, and operational disciplines rapidly adapt to the technology infusion. Innovations are constantly and unpredictably being adopted, rapidly evolving from novelties to conveniences to essential elements of our society and economy. The onset of the internet, virtual ubiquitous connectivity, and global access to data and people has significantly increased the complexity of individual, commercial, government and military operations. As systems and sensors proliferate on the networks across the world, people are inundated with an ever increasing deluge of information and conflicting considerations for making critical decisions. At exponential rates, our lives, responsibilities and environments are becoming increasingly more complex. Those that can manage or even conquer complexity will remain competitive and survive; those that cannot will perish—either metaphorically or literally.
|Distributed Intelligent Agent Framework
This excerpt from Conquering Complexity (Springer, 2012) describes the building blocks and capabilities necessary for agents and the framework that supports the communication and collaboration of these agents. It is no coincidence that the terminology for a Distributed Intelligent Agent Framework corresponds to the terms used to define complex adaptive systems. Intelligent agent concepts emerged from the application of complexity theory within the information technology field.
|Shared Situational Awareness Architectural Framework
This excerpt from Conquering Complexity (Springer, 2012) describes the core concepts behind the SSA Framework. One of the greatest challenges of complex systems is the management of and reasoning over diverse data that is intimately related, and establishing a common awareness (or better, understanding) of the situation as it relates to a variety of users with different roles.
|Marine Corps Adaptive Planning
The Marine Corps Adaptive Planning (MCAP) Project is a S&T effort funded by the Office of Naval Research (ONR). MCAP is developing a suite of decision support tools to support adaptive planning for USMC C2 and tactical logistics operations. The MCAP system facilitates dynamic, collaborative integrated planning, assessment, and execution monitoring for MAGTF logistics operations that integrate Command and Control (C2), Logistics and Intelligence operations.
|Continuous Learning Supervisory Control
Continuous Learning Supervisory Control (CLSC) is an intelligent decision support system that leverages intelligent agents and continuous learning capabilities to create a supervisory control system that can monitor and reason across complex sensor systems and subsystems. The overall purpose of creating such a system is to iteratively demonstrate the value, capabilities, and effectiveness of developing a higher level supervisory control layer operating across systems and subsystems to provide contextual reasoning, learning, dynamic configuration and reconfiguration, and ultimately, intelligent adaptation and control. Achieving these objectives reduces human supervisory demands while simultaneously increasing the performance and reducing response times even in complex environments that are under unanticipated conditions.
|Law Enforcement Adaptive Planning
The Law Enforcement Adaptive Planning (LEAP) system will provide Customs and Border Protection (CBP) with decision support tools that will help integrate border enforcement capabilities and can adapt to the demands of a constantly evolving landscape. LEAP will increase the speed and quality of risk-informed, intelligence-driven law enforcement efforts through improved situational awareness of actionable information and intelligence, facilitated collaborative mission planning across domestic and international partners, and support for “unity of effort” via the integration of intelligence, operational planning, and optimized resource management throughout mission execution.
|MCAP Software Demonstration