1. What Is A Robust Program
2. Robust Training Center
3. What Is A Robust Program Design

Finally, measurement and documentation will help you build a robust program. Measurement helps you assess how well your program is working, as conditions change from one state to another. At any moment, your program probably works better in some ways more than others. We thus propose a new, simple program to achieve more robust cooperative program equilibria: cooperate with some small probability 𝜖 and otherwise act as the opponent acts against this program. I argue that this program is similar to the tit for tat strategy for the iterated prisoner’s dilemma. Developing an effective governance operating model 5 Encircling all elements of the framework is the corporate governance infrastructure. The governance infrastructure is the collection of governance operating models—the people, processes, and systems—that management has put in place to govern day-to-day organizational activities.

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IIS: Robust Intelligence (RI)

SYNOPSIS

What Is A Robust Program

Robust intelligence encompasses foundational computational research needed to understand and develop systems that can sense, learn, reason, communicate, and act in the world; exhibit flexibility, resourcefulness, creativity, real-time responsiveness and long-term reflection; use a variety of representation or reasoning approaches; and demonstrate competence in complex environments and social contexts. The RI program accepts research proposals aimed at contributing deeper understanding and new insights in and across the disciplinary areas outlined below. Proposals focused on application and fielding of established methods should be directed to programs focused on the respective application areas. Areas within RI include:

Robust Training Center

• Artificial intelligence (AI): All matters of learning, abstraction and inference required for intelligent behavior, and including architectures for intelligence, integrated intelligent agents, and multi-agent systems. Aspects of intelligence include knowledge representation, logical and probabilistic reasoning, planning, search, constraint satisfaction, and optimization.

• Machine learning: The study of algorithms and models that are able to solve tasks by generalizing from data.

• Computer vision: The ability of systems to sense and reason about the visual world. Research in this area ranges from novel work in computational imaging to methods for high-level semantic understanding of images or videos.

• Human language technologies: The ability of intelligent systems to analyze, produce, translate, and respond to human text and speech.

What Is A Robust Program Design

• Robotics: The design, construction, operation, and use of machines capable of carrying out a complex series of actions automatically. Robotics proposals submitted to RI must advance knowledge and understanding specifically in the embodiment of intelligent systems.

• Computational Neuroscience: Theory and analysis of computational processes in the nervous system, including approaches to the above RI problem areas that are grounded in neural computation and neuroscience.

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