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Optimizing the human element in the age of autonomy

Optimizing the human element in the age of autonomy

引用

AUVSI Unmanned Systems 2015

作者： Djapic, Vladimir Galdorisi, George Pels, Jennifer Rodas, Maria Olinda Volner, Rachel Maritime Systems Division Space and Naval Warfare Systems Center Pacific 53560 Hull St. San DiegoCA92152 United States Corporate Strategy Group Space and Naval Warfare Systems Center Pacific 53560 Hull St. San DiegoCA92152 United States Client Solution Architects 3570 Camino Del Rio North San DiegoCA92108 United States Command and Control Technology and Experimentation Division Space and Naval Warfare Systems Center Pacific 53560 Hull St. San DiegoCA92152 United States

Unmanned systems (UxS) have become almost ubiquitous in U.S. military operations today, but many still wonder how they will be effectively integrated into the existing force, to succeed as a force multiplier rather than just a force enabler. As we look towards the future of UxS, we anticipate that greater autonomy will be mandated due to manning considerations, the challenge of data overload, and the need for resiliency in anti-access and area denial environments. However, as levels of autonomy are increased, it will be imperative to integrate and optimize the human element in the development and design phases, in order to maximize the capabilities of both the unmanned system and the human operator. The human element has long been a consideration in all aspects of aviation. As the DoD moves toward increased autonomy for UxS, it is faced with identifying the proper levels of human interaction with unmanned platforms. The appropriate level of human interaction has been widely discussed when considering whether or not platforms should be armed, and whether or not decisions regarding engagement should be made by an autonomous system. While this is one aspect of the human interaction, the other, less mentioned, aspect is identifying the level of involvement that is necessary from a human factors and crew resource management standpoint. Increasing the autonomy of unmanned systems can only be done successfully if it is done in such a way that the human element remains at the center of the design. This paper will explore the demand for increased autonomy with a movement toward manned-unmanned teaming and swarming capabilities. We will discuss the importance of the consideration of human factors and user-centered design as we work to identify the right balance of autonomy and human engagement with the system. We will also highlight examples of ground-breaking efforts currently being conducted within U.S. defense laboratories that are paving the way for achieving the goal of

关键词： Military operations

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Infodynamics III: Information integration and tractability

Infodynamics III: Information integration and tractability

引用

2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005

作者： Ceruti, Marion G. Rubin, Stuart H. IEEE Space and Naval Warfare Systems Center San Diego Code 24121 53360 Hull Street San Diego CA 92152-5001 United States Command and Control Technology and Experimentation Division Command and Control Department Space and Naval Warfare Systems Center San Diego IEEE Computer Society American Chemical Society Association for Computing Machinery International Society for Computers and Their Applications New York Academy of Sciences Space and Naval Warfare Systems Center San Diego AFCEA American Association the Advancement of Science North American Fuzzy Information Processing Society

ISBN: (纸本)0780390938

This paper expands the use of analogies in thermo-dynamics to explore concepts in the characterization of information systems. The focus is on systems of liquid-liquid equilibrium and how they are similar to information-systems integration. New ideas, such as metrics, are introduced for tractability and disjunction in information-systems integration. It describes the role of ontology and suggests directions for future research in this area. This paper is the third in a series of papers in the newly emerging and interdisciplinary field of "infodynamics." © 2005 IEEE.

关键词： Information technology

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Intelligent component-centric programming

Intelligent component-centric programming

引用

2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005

作者： Rubin, Stuart H. Ceruti, Marion G. IEEE Space and Naval Warfare Systems Center San Diego Code 2734 53360 Hull Street San Diego CA 92152-5001 United States in San Diego Code 27304 AFCEA American Association for the Advancement of Science New York Academy of Sciences North American Fuzzy Information Processing Society IEEE Systems Man and Cybernetics Technical Committee Command and Control Technology and Experimentation Division Command and Control Department Space and Naval Warfare Systems Center San Diego IEEE Computer Society American Chemical Society Association for Computing Machinery International Society for Computers and Their Applications

ISBN: (纸本)0780390938

This paper presents an approach to Object-Oriented Programming (OOP) through software intelligent retrieval and reuse. OO development never has met the objectives for software reuse. Thus, a Uniform Modeling Language (UML) has arisen as a standard top-down way for describing component functions and properties. Components may be defined in any language, for any platform, and combined into frameworks. This can be accomplished using component models. Component interface standards should be developed to facilitate component reuse. Retrieved components need to be adapted (e.g., via Case-Based Reasoning) to specific contexts. This is more general than OO development. Knowledge-bases should evolve to guide the definition, generalization, specialization, and retrieval of components and frameworks. These intelligent systems will be constructed through a component-based methodology - completing the loop. The problem with a UML-based methodology is that it is not a full-spectrum coding method. Thus, a component bootstrap is advanced, which in conjunction with an intelligent repository, provides for extensible frameworks. © 2005 IEEE.

关键词： Object oriented programming

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The role of computational intelligence in data mining

The role of computational intelligence in data mining

引用

2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005

作者： Rubin, Stuart H. Ceruti, Marion G. Dai, Wei IEEE Space and Naval Warfare Systems Center San Diego Code 2734 53360 Hull Street San Diego CA 92152-5001 United States School of Information Systems Victoria University Melbourne Vic. Australia San Diego AFCEA American Association for the Advancement of Science New York Academy of Sciences North American Fuzzy Information Processing Society IEEE Systems Man and Cybernetics Technical Committee IEEE Board of Governors Command and Control Technology and Experimentation Division Command and Control Department Space and Naval Warfare Systems Center San Diego IEEE Computer Society American Chemical Society International Society for Computers and Their Applications New York Academy of Sciences Victoria University Melbourne Australia

ISBN: (纸本)0780390938

In this paper, we explore the interdependent roles of computational intelligence, data mining, and machine learning. We explain how these three seemingly independent AI specialties are inextricably linked through the science of randomization and reuse. Computational intelligence is shown to imply soft computing, whose bounds are soft or fuzzy only because they need be adoptively formed (e.g., Type II fuzzy logic). Data mining implies the compression of data (including anomalous data) to its simplest form. Such randomization operations are inherently incomplete and thus are necessarily domain-specific or adaptive as a consequence. Finally, machine learning is the study of computational adaptation. For example, a machine that plays master-level chess is not necessarily computationally intelligent - unless it is capable of adaptive improvement in its play. This paper will attempt to make it clear that intelligence and the capability for learning are in fact synonyms for an AI. © 2005 IEEE.

关键词： Artificial intelligence

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