Artificial intelligence in man-machine systems and automation

2005 ◽  
pp. 1-22 ◽  
Author(s):  
Heinz Winter
Keyword(s):  
Artificial Intelligence ◽  
Machine Systems

Predicting Graceful Extensibility of Human-Machine Systems: A New Analysis Method for Evaluating Extensibility Plots to Anticipate Distributed System Performance

2020 ◽  
Vol 64 (1) ◽  
pp. 313-318
Author(s):  
Dane A. Morey ◽  
Jesse M. Marquisee ◽  
Ryan C. Gifford ◽  
Morgan C. Fitzgerald ◽  
Michael F. Rayo
Keyword(s):  
Artificial Intelligence ◽  
Distributed System ◽  
System Performance ◽  
Healthcare Setting ◽  
Evaluation Methods ◽  
Performance Data ◽  
Analysis Method ◽  
Machine System ◽  
Machine Systems

With all of the research and investment dedicated to artificial intelligence and other automation technologies, there is a paucity of evaluation methods for how these technologies integrate into effective joint human-machine teams. Current evaluation methods, which largely were designed to measure performance of discrete representative tasks, provide little information about how the system will perform when operating outside the bounds of the evaluation. We are exploring a method of generating Extensibility Plots, which predicts the ability of the human-machine system to respond to classes of challenges at intensities both within and outside of what was tested. In this paper we test and explore the method, using performance data collected from a healthcare setting in which a machine and nurse jointly detect signs of patient decompensation. We explore the validity and usefulness of these curves to predict the graceful extensibility of the system.

Autonomy and Openness in Human and Machine Systems: Participatory Sense-Making and Artificial Minds

2021 ◽  
pp. 1-21
Author(s):  
Robin L. Zebrowski ◽  
Eli B. McGraw
Keyword(s):  
Artificial Intelligence ◽  
Social Cognition ◽  
Autonomous System ◽  
Living Systems ◽  
Sense Making ◽  
Cognitive Systems ◽  
Social Forms ◽  
Theoretical Approaches ◽  
Machine Systems ◽  
Level Of Analysis

Within artificial intelligence (AI) and machine consciousness research, social cognition as a whole is often ignored. When it is addressed, it is often thought of as one application of more traditional forms of cognition. However, while theoretical approaches to AI have been fairly stagnant in recent years, social cognition research has progressed in productive new ways, specifically through enactive approaches. Using participatory sense-making (PSM) as an approach, we rethink conceptions of autonomy and openness in AI and enactivism, shifting the focus away from living systems to allow incorporation of artificial systems into social forms of sense-making. PSM provides an entire level of analysis through an overlooked autonomous system produced via social interaction that can be both measured and modeled in order to instantiate and examine more robust artificial cognitive systems.

scholarly journals Reports of the 2014 AAAI Spring Symposium Series

AI Magazine ◽  
2014 ◽  
Vol 35 (3) ◽  
pp. 70-76
Author(s):  
Manish Jain ◽  
Albert Xin Jiang ◽  
Takashi Kiddo ◽  
Keiki Takadama ◽  
Eric G. Mercer ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
New Media ◽  
Autonomous Systems ◽  
Personal Knowledge ◽  
Knowledge Representation And Reasoning ◽  
The Internet ◽  
Motivational Systems ◽  
Symposium Series ◽  
Computational Game Theory ◽  
Machine Systems

The Association for the Advancement of Artificial Intelligence was pleased to present the AAAI 2014 Spring Symposium Series, held Monday through Wednesday, March 24–26, 2014. The titles of the eight symposia were Applied Computational Game Theory, Big Data Becomes Personal: Knowledge into Meaning, Formal Verification and Modeling in Human-Machine Systems, Implementing Selves with Safe Motivational Systems and Self-Improvement, The Intersection of Robust Intelligence and Trust in Autonomous Systems, Knowledge Representation and Reasoning in Robotics, Qualitative Representations for Robots, and Social Hacking and Cognitive Security on the Internet and New Media). This report contains summaries of the symposia, written, in most cases, by the cochairs of the symposium.

Comprehensive Analysis of the Efficiency of the Operator - Machine System Based on Artificial Intelligence Methods

2021 ◽  
pp. 40-46
Author(s):  
Syergyey Logvinov ◽  
S. Logvinov
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Comprehensive Analysis ◽  
Self Organization ◽  
Multilayer Perceptrons ◽  
Number Of Factors ◽  
Methodological Approaches ◽  
Machine Systems ◽  
Low Sensitivity

Methodological approaches to the analysis of the effectiveness of complex human-machine systems (SMS) based on the use of methods of heuristic self-organization and artificial neural networks are considered. Modeling of the system taking into account a large number of factors and several output variables that characterize the MFM is based on obtaining multilayer perceptrons with the exception of factors with low sensitivity

A vıew to cognItıve engıneerıng

2019 ◽  
pp. 29-34
Author(s):  
T. Çetin AKINCI
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Cognitive Psychology ◽  
General Information ◽  
Cognitive Engineering ◽  
Medical Psychology ◽  
New Science ◽  
Human Thought ◽  
Engineering Discipline ◽  
Machine Systems

Cognitive engineering is the application of artificial intelligence, cognitive psychology and many different disciplines to human-machine systems with various software hardware elements. Cognitive engineering is supported by engineering disciplines and health, medical, psychology, sociology and even philosophical sciences. In this sense, it can be accepted as an interdisciplinary new science. Cognitive engineering is the transformation of human thought and psychology, even philosophy, into systems by modelling with software programs. Thus, machines or systems can be provided with more humane thinking and decision making capabilities than artificial intelligence. In this study, general information about Cognitive Engineering discipline will be given and recent applications in this field will be discussed.

scholarly journals The Concept of the Cognitive Cycle in tasks of General Artificial Intelligence

2021 ◽  
Vol 16 (2) ◽  
pp. 0
Author(s):  
Maksim Kovalev
Keyword(s):  
Artificial Intelligence ◽  
Cluster Analysis ◽  
Mathematical Models ◽  
Artificial Intelligence System ◽  
Intelligence System ◽  
Research Programs ◽  
Sequential Combination ◽  
Machine Systems ◽  
Hybrid Artificial Intelligence

One of the main problems underlying research programs in the field of general artificial intelligence is the problem of the insufficiency of particular approaches and mathematical models. The paper proposes the concept of creating a hybrid artificial intelligence system for solving practical problems of extracting the meaning of a text that implements the principles of the hermeneutical circle. The concept offers a syncretic-sequential combination of connectionist, symbolic approaches, as well as methods of cluster analysis. The concept is based on the idea of creating hybrid, primarily human-machine systems.

scholarly journals Intelligent technosymbiosis in complex human-machine systems

Ergodesign ◽  
2021 ◽  
Vol 2021 (1) ◽  
pp. 70-76
Author(s):  
Sergey Sergeev
Keyword(s):  
Artificial Intelligence ◽  
Psychological Research ◽  
Symbiotic Interaction ◽  
Psychological Issues ◽  
Conceptual Apparatus ◽  
Machine Systems ◽  
Artificial Intelligence Systems

The article discusses the consequences of implementing and using artificial intelligence systems in complex ergatic systems. It is shown that when creating systems and technologies of artificial intelligence, it is necessary to take into account the psychological issues of ensuring the symbiotic interaction of a person with an evolving technogenic environment. The perspective directions of engineering and psychological research using the conceptual apparatus of post-nonclassical psychology are considered.

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