Introduction
The article is all about how the robots “the artificial” can be factored into the life system of human beings to enhance their work together. The article makes a description of how robots can be modeled to bridge the existing gap of thinking between the high-level conceptual structures and multi-agent beliefs and the low-level sensing. The article places its argument on the modeling of experience of robots and humans as a way of enhancing robots to be key players in the life of human beings. Another two aspects to be modeled are communication and teamwork. Communication is modeled to ensure that the robot understands wording and the intention of words utterances. Teamwork modeling is done to ensure that the two parties in communication coordinate their activities without difficulty.
The article touches on three topics that ensure the effective factoring of artificial intelligence into the working conditions of human beings. The first topic is on modeling of experience, second is modeling of communication and lastly modeling on teamwork.
The article claims to have the model represented in the article being implemented in the actual robotic systems giving an example of robot office assistance in addition to rescue robots. The article presents its model as one of exclusive models that can be universally applied when robots are to be developed with an aim of assisting human beings. It also contains a common aspect of the systems used in modeling artificial intelligent agents to work together with human beings. However, the process is not an island in its development and implementation. The whole process is an integration of various models that are intermingled to bring about an artificial intelligent agent that is able to understand the utterances at various contexts of their performance. The article places its prudence to the development of a universal executable communication model that is explicit to the usability of communication strategies by robots. The communication strategic understanding of robots is presented as a vital concern in the development of human assistant robots.
The article presentation of the model is not clear on the challenges that might be faced in the intermingling process of these artificial agents with human beings. The articles also do not accommodate the side effects of using robots as human assistance and it present these artificial agents as devoid of disadvantages of which it is not true. The article do not also present testable statistics of the model which I tend to think it is questionable since scientific models need to be tested before drawing conclusions out their theoretical representations.
The article relates with other articles that I have encountered in my reading and class work in that it addresses the whole process of adapting robots as a model which requires an understanding of the human condition and thus being in a position to predict their moves. It thus takes coding of human functionality into the robotic system for its understanding and execution of instructions given to it.
A reference in the article under the title “Situated dialogue and spatial organization: What, Where and why” Supports the articles architecture of HRI for argumentum mapping of human beings. The architecture is proved to have been tested using robotic mobile autonomous platforms.
The article is used as a reference by various written resources, two of them are;
Kruijff, G. "Achieving common ground under asymmetric agency and social sentience in communication for human-robot teaming." In Proceedings of the 10th IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2012). 2012. And
Kruijff, Geert-Jan M. "Symbol Grounding as Social, Situated Construction of Meaning in Human-Robot Interaction." KI-Künstliche Intelligenz (2013): 1-8.
The models presented by Sung and Cho in and Jakob et al address the same issue of robots development but these other sources are more scientific in that their whole process of coding the artificial intelligent agent is presented in programming language algorithms and statistical analysis. The Sung and Cho model uses the same architecture as that of Zender but differ in the usage of algorithms in presentation of the robots coding used in the Sung and Cho article.
In conclusion artificial intelligent agents modification for the sake assisting human beings need to have their experience, communication and teamwork adaptability be matched with that of human beings. Robots are vital things in the advancement of the world as they have the potential of fully helping make humans work easier. These agents and human beings need to have their activities coordinated and the possible way to do this is to understand human behavior and coding the same to robots.
Bibliography
Sung, Yunsick, and Kyungeun Cho. "Collaborative programming by demonstration in a virtual environment." IEEE Intelligent Systems 27, no. 2 (2012): 0014-18.
Jakob, Michal, Michal Pechoucek, Michal Cap, Peter Novák, and Ondrej Vanek. "Mixed-reality testbeds for incremental development of HART applications." IEEE Intelligent Systems 27, no. 2 (2012): 19-25.
Kruijff, Geert-Jan M., Miroslav Janícěk, and Hendrik Zender. "Situated communication for joint activity in human-robot teams." IEEE Intelligent Systems 27, no. 2 (2012): 0027-35.
