introduction to cougaar software, inc
TRANSCRIPT
Introduction to Cougaar Software, Inc.
by Melvin Sassoon SVP Operations
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From the Battlefield to the Boardroom
Agenda
• MCAP Video
• Who We Are
• What We Do – Applications / Solutions
• MCAP / CADES / MPP3
– Technology • Artificial Intelligence / Agent Based Technology
• Questions & Discussion
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Who We Are…
3 1/22/2016
• Cougaar Software, Inc.
– Founded in October 2001 by Dr. Todd Carrico
– A small veteran-owned business
– Top Secret facility clearance
• Dr. Todd Carrico
– Former DARPA PM
– DARPA Sponsored the core technology
• Cognitive Agent Architecture (COUGAAR)
– Demonstrated its potential in Log & C2
e.g. Adaptive Planning and Execution (APEX)
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What we do…
• Build custom decision support, planning and optimization systems based on intelligent agent technology
– Intelligent
– Distributed
– Secure
– Highly Automated
– Adaptive
– Scalable
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Example 1 – MPP3
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• Planning
• Scheduling
• Optimization
• Performance Metrics
• Execution Monitoring
• Analysis
• Dashboards
• Simulations “What if”
• Trending
• Plan vs Actual
• Parts Projection by NIIN
• Courses of Action/
• Recommendations
• Reporting
Example 2 - CADES
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• Adaptive Demand Estimation and Planning Factors
• Time-Phased Situational-Aware Demand Prediction
• Dynamic Stockage Objectives
• Continuous Inventory Monitoring and Recommendations
• Deep Analytic Support and Integrated Optimization
Example 3 - MCAP
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• Integrated suite of decision support tools supporting distributed collaborative
planning and shared situational awareness
• Automated assesses plan and battlespace during development through execution
• Implements Adaptive Planning and Execution (APEX) concepts and the “Living Plan”
as per the DoD Adaptive Planning Roadmap II
• Open service-based infrastructure can be extended and shared
AP Master Puzzle
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MCAP
CADES
MPP 3
IBAM DRAM
Class V Adaptive Demand Estimation • Predictive Analytics • Dynamic Stockage Objectives • Learned Consumption Rates
Marine Corps Adaptive Planning • MAGTF Planning • Tasks x Units in
Space and Time • Planned vs Actual
Tracks
My Production Planner 3 • Field Level RESET • Optimization • Parts Projection • ARFORGEN Readiness
Industrial Base Assessment Methods [10%] • Supply Chain Risk Assessment • Time-Phased Production • Open Source News/Events
Distribution & Retrograde APEX Management [50%] • Multi-Mode Trans Planning • Execution Monitoring • Equipment & Personnel
Scheduling • Routing & Route Definition
Ops & Log Planning
Theater Supply
Field Level Maintenance
Theater Distribution Industrial Base Analysis
AP Master Puzzle
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Planning
Strategic
Ops Log Intel
MCAP DRAM CADES IBAM
MPP CADES DRAM IBAM
MCAP
MPP
Execution
Operational
Tactical
MPP IBAM
MCAP DRAM CADES
TECHNOLOGY APPROACH
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Artificial Intelligence &
Intelligent Agents
What is AI, really?
• AI has been heavy in the news lately, but what is it really?
• In general, its software that can do all of the following in a general way, not domain specific manner…
• Pursue Goals • Reason • Plan • Communicate • Remember • Manage knowledge • Learn • Adapt • Monitor • Recognize patterns • Project future state
• Develop expectations • Sched & allocate resources • Meta-plan • Collaborate / Share • Observe • Infer • Deduce • Hypothesize • Evaluate • Model • Discover new knowledge • Share / Acquire Behaviors
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Many Approaches to AI
• Symbolic – Cognitive Simulation – Logic-Based – Knowledge-based
• Bio-Inspired – Neuromorphic – Neural Chips
• Statistical / Probabilistic – Bayesian Networks – Hidden Markov Models – Deep Learning
AI is the holy grail of IT, and many companies are pursuing it in many different ways. Even partial success yields value and new products/capabilities.
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AI: Built on an Intelligent Agent Framework
Key Agent Properties: • Autonomous • Goal Oriented / Taskable / User Directed • Proactive / Persistent • Adaptive / Capable of Learning • Collaborative / Communicative • Distributed & Mobile (optional)
Add to all of this the ability to do planning, dynamic replanning and execution monitoring based on a human model of cognition
Agents are an ‘intelligent’ extension of peer-to-peer/distributed computing.
Intelligent agents are programs that carry out a task on behalf of a user, unsupervised and using some degree of intelligent reasoning to perform the task appropriately given the resources, capabilities and the situation.
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Slide 16
Anatomy of a Intelligent System
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S&RL Application Networks
Benefits of this approach:
• Net-Centric • Modular • Self-Synchronizing • Dynamically
Reconfigurable • Highly Testable • Extensible • Secure
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CSI’s Technical Convergence
• AI / Intelligent Software
• Internet-of-Things
• Semantic Computing
• Ubiquitous Computing
• Ubiquitous Communications
• Robotics
• Privacy / Security
• Social Network Computing
• Human Augmentation
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CONTACT INFORMATION:
19 1/22/2016
Melvin Sassoon
SVP Operations
1945 Old Gallows Road
Suite 100
Vienna, VA 22182
703-506-1700 Ext. 106
For more information please contact:
©2016, Cougaar Software, Inc. - Proprietary - All Rights Reserved