Machine intelligence sports as research programs

Games and competitions have played a significant role throughout the history of artificial intelligence and robotics. Machine intelligence games are examined here from a distinctive methodological perspective, focusing on their use as generators of multidisciplinary research programs. In particular, Robocup is analyzed as an exemplary case of contemporary research program developing from machine intelligence games. These research programs arising are schematized in terms of framework building, subgoaling, and outcome appraisal processes. The latter process is found to involve a rather intricate system of rewards and penalties, which take into account the double allegiance of participating scientists, trading and sharing interchanges taking place in a multidisciplinary research environment, in addition to expected industrial payoffs and a variety of other fringe research benefits in the way of research outreach and results dissemination, recruitment of junior researchers and students enrollment

Generative Design in Minecraft (GDMC), Settlement Generation Competition

This paper introduces the settlement generation competition for Minecraft, the first part of the Generative Design in Minecraft challenge. The settlement generation competition is about creating Artificial Intelligence (AI) agents that can produce functional, aesthetically appealing and believable settlements adapted to a given Minecraft map - ideally at a level that can compete with human created designs. The aim of the competition is to advance procedural content generation for games, especially in overcoming the challenges of adaptive and holistic PCG. The paper introduces the technical details of the challenge, but mostly focuses on what challenges this competition provides and why they are scientifically relevant.Comment: 10 pages, 5 figures, Part of the Foundations of Digital Games 2018 proceedings, as part of the workshop on Procedural Content Generatio

Keeping Autonomous Driving Alive: An Ethnography of Visions, Masculinity and Fragility

In 'Keeping autonomous driving alive', the author studies the relationships between researchers and artefacts held together by contested visions. Drawing on ethnographic fieldwork in a pioneering research project in Germany, he argues we can make sense of technological visions only if we simultaneously grasp the role of care, gender, and narrative in sustaining technological research. Instead of focusing on the genesis and expansion of sociotechnical assemblages, the book offers a radically new alternative to the study of visions. Building on literature from Science & Technology Studies, Science Communication, and Gender Studies, Göde Both investigates the ambivalence and fragility of technological visions, video demonstrations, and street trials in the hands of researchers invested in self-driving cars. Keeping autonomous driving alive will be of interest to sociologists and anthropologists of technology, gender, and mobility. It is essential reading for those concerned with uncertainty in technological research and with conflicting demands in communicating science. The book provides scholars within the fields of robotics, artificial intelligence, and automotive engineering a means of reflecting on their involvement in self-driving cars. Keeping autonomous driving alive offers science, technology, mobility, and automotive journalists a unique perspective on the present realities of a futuristic technology

Keeping Autonomous Driving Alive

InKeeping autonomous driving alive, Göde Both studies the relationships between researchers and artefacts held together by contested visions. Drawing on ethnographic fieldwork in a pioneering research project in Germany, he argues we can make sense of technological visions only if we simultaneously grasp the role of care, gender, and narrative in sustaining technological research.; Eine radikal neue Alternative zum Studium von Visionen: Aufbauend auf Literatur aus den Bereichen Science & Technology Studies, Wissenschaftskommunikation und Gender Studies untersucht der Autor die Ambivalenz und Fragilität von technologischen Visionen, Videodemonstrationen und Straßenversuchen in den Händen von Forschenden, die sich mit selbstfahrenden Autos beschäftigen. Das Buch ist für Soziolog*innen und Anthropolog*innen mit Fokus auf Technik, Geschlecht und Mobilität von interessant, die sich mit der Unsicherheit in der technologischen Forschung und mit den widersprüchlichen Anforderungen bei der Vermittlung von Wissenschaft beschäftigen. Gleichzeitig bietet die Studie Wissenschaftler*innen in den Bereichen Robotik, künstliche Intelligenz und Automobiltechnik eine Möglichkeit, über ihre Beteiligung am selbstfahrenden Auto nachzudenken

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input. A survey of NLG is timely in view of the changes that the field has undergone over the past decade or so, especially in relation to new (usually data-driven) methods, as well as new applications of NLG technology. This survey therefore aims to (a) give an up-to-date synthesis of research on the core tasks in NLG and the architectures adopted in which such tasks are organised; (b) highlight a number of relatively recent research topics that have arisen partly as a result of growing synergies between NLG and other areas of artificial intelligence; (c) draw attention to the challenges in NLG evaluation, relating them to similar challenges faced in other areas of Natural Language Processing, with an emphasis on different evaluation methods and the relationships between them.Comment: Published in Journal of AI Research (JAIR), volume 61, pp 75-170. 118 pages, 8 figures, 1 tabl

Keeping Autonomous Driving Alive

InKeeping autonomous driving alive, Göde Both studies the relationships between researchers and artefacts held together by contested visions. Drawing on ethnographic fieldwork in a pioneering research project in Germany, he argues we can make sense of technological visions only if we simultaneously grasp the role of care, gender, and narrative in sustaining technological research.; Eine radikal neue Alternative zum Studium von Visionen: Aufbauend auf Literatur aus den Bereichen Science & Technology Studies, Wissenschaftskommunikation und Gender Studies untersucht der Autor die Ambivalenz und Fragilität von technologischen Visionen, Videodemonstrationen und Straßenversuchen in den Händen von Forschenden, die sich mit selbstfahrenden Autos beschäftigen. Das Buch ist für Soziolog*innen und Anthropolog*innen mit Fokus auf Technik, Geschlecht und Mobilität von interessant, die sich mit der Unsicherheit in der technologischen Forschung und mit den widersprüchlichen Anforderungen bei der Vermittlung von Wissenschaft beschäftigen. Gleichzeitig bietet die Studie Wissenschaftler*innen in den Bereichen Robotik, künstliche Intelligenz und Automobiltechnik eine Möglichkeit, über ihre Beteiligung am selbstfahrenden Auto nachzudenken

A Case Study: Motivational Attributes of 4-H participants engaged in Robotics

Robotics has gained a great deal of popularity across the United States as a means to engage youth in science, technology, engineering, and math. Understanding what motivates youth and adults to participate in a robotics project is critical to understanding how to engage others. By developing a robotics program built on a proper understanding of the motivational influences, the program can be built on a foundation that addresses these influences. By engaging more youth in the robotics program, they will be able to envision a future for themselves as a high-school or college graduate, in addition to a viable employee with marketable skills in tough economy. The purpose of this research was to evaluate the underlying motivational attributes or factors that influenced 4-H youth, parents, volunteers, and agents to participate in the Mississippi 4-H robotics project. Specifically, this research focuses on two unique counties in Mississippi with very diverse populations. Interviews with participants, observation, and document analysis which took place occurred over the course of a robotics year – October to July. This study sought to identify motivational attributes of participants in the robotics project. Once identified these attributes could be used when developing new program curricula or expanding into new counties in Mississippi. Data analysis revealed that there are many unique motivational factors that influence participants. Among these factors, (1) the desire to build and construct a robot, (2) competition and recognition, (3) desire for future success and security, (4) safe place to participate and build relationships, (5) teamwork, (6) positive role models, and (7) encouragement