Tego - A framework for adversarial planning

This study establishes a framework called ∗-Tego for a situation in which two agents are each given a set of players for a competitive game. Each agent places their players in an order. Players on each side at the same position in the order play one another, with the agent\u27s score being the sum of their player\u27s scores. The planning agents are permitted to simultaneous reorder their players in each of several stages. The reordering is termed competitive replanning. The resulting framework is scalable by changing the number of players and the complexity of the replanning process. The framework is demonstrated using iterated prisoner\u27s dilemma on a set of twenty players. The system is first tested with one agent unable to change the order of its players, yielding an optimization problem. The system is then tested in a competitive co-evolution of planning agents. The optimization form of the system makes globally sensible assignments of players. The co-evolutionary version concentrates on matching particular high-payoff pairs of players with the agents repeatedly reversing one another\u27s assignments, with the majority of players with smaller payoffs at risk are largely ignored

Portfolios and Performance Assessment: Tools for Changing Pedagogy with Pre-Service Mathematics Teachers

Portfolios serve many roles in the development of prospective teachers. Faculty at Brooklyn College found that portfolios can play two other important roles — as tools in faculty development and as a conduit in the development and description of college curriculum. Faculty came together to design a portfolio outline which both defined the introductory mathematics methods course and facilitated establishment of standards. The format was adapted for other populations, each time being modified to suit the new context

Developmental Bootstrapping of AIs

Although some current AIs surpass human abilities in closed artificial worlds such as board games, their abilities in the real world are limited. They make strange mistakes and do not notice them. They cannot be instructed easily, fail to use common sense, and lack curiosity. They do not make good collaborators. Mainstream approaches for creating AIs are the traditional manually-constructed symbolic AI approach and generative and deep learning AI approaches including large language models (LLMs). These systems are not well suited for creating robust and trustworthy AIs. Although it is outside of the mainstream, the developmental bootstrapping approach has more potential. In developmental bootstrapping, AIs develop competences like human children do. They start with innate competences. They interact with the environment and learn from their interactions. They incrementally extend their innate competences with self-developed competences. They interact and learn from people and establish perceptual, cognitive, and common grounding. They acquire the competences they need through bootstrapping. However, developmental robotics has not yet produced AIs with robust adult-level competences. Projects have typically stopped at the Toddler Barrier corresponding to human infant development at about two years of age, before their speech is fluent. They also do not bridge the Reading Barrier, to skillfully and skeptically draw on the socially developed information resources that power current LLMs. The next competences in human cognitive development involve intrinsic motivation, imitation learning, imagination, coordination, and communication. This position paper lays out the logic, prospects, gaps, and challenges for extending the practice of developmental bootstrapping to acquire further competences and create robust, resilient, and human-compatible AIs.Comment: 102 pages, 29 figure

Project-based language learning. A planning proposal for Secondary Education

This paper addresses the implementation of project-based learning in the English as a Foreign Language classroom in Compulsory Secondary Education. From a theoretical point of view, the content is structured around the concept of project-based learning, its characteristics, its most relevant implications in the classroom, exemplifications and key aspects to plan a project. All these elements conform to current European policies and the foreign language teaching/learning process. From a methodological point of view, a teaching proposal is presented, designed to be implemented in Year 1 of Secondary Education. A series of contextual aspects, a description of the target group and a well-supported decision-making process precede the proposal, which is composed of seven sessions. In the last part of the paper, certain conclusions are displayed in order to point out the value of project-based learning in English language acquisition, along with a list of guidelines to direct its implementation in the classroom.Este Trabajo Fin de Máster aborda el aprendizaje por proyectos en el aula de Inglés Lengua Extranjera en Educación Secundaria Obligatoria. Desde la perspectiva teórica, se articulan los contenidos en torno al concepto y características del aprendizaje por proyectos, sus implicaciones más relevantes para el aula, ejemplificaciones y aspectos clave para su planificación. Todo ello en función de las políticas europeas y del proceso de aprendizaje y adquisición de lenguas extranjeras. Desde la perspectiva metodológica, se presenta una propuesta didáctica susceptible de implementarse en un aula de Inglés Lengua Extranjera de primer curso de Educación Secundaria. Temporalizada en siete sesiones, la preceden aspectos contextuales, características del grupo y una toma de decisiones fundamentada. En la última parte se recogen conclusiones dirigidas a la puesta en valor del aprendizaje por proyectos para rentabilizar la adquisición de la lengua inglesa, junto con una serie de pautas didácticas para orientar su implementación en el aula.Departamento de Didáctica de la Lengua y LiteraturaMáster en Profesor de Educación Secundaria Obligatoria y Bachillerato, Formación Profesional y Enseñanzas de Idioma

News for South Carolina Libraries, June 1980

This June 1980 newsletter from the South Carolina State Library, volume 12, number 6, features news and updates for South Carolina libraries

Information Outlook, March/April 2019

Volume 23, Issue 2https://scholarworks.sjsu.edu/sla_io_2019/1001/thumbnail.jp

User Experience of Geocaching and Its Application to Tourism and Education

Advances in technology have provided new ways of using entertainment and game technology to foster human interaction. Games and playing with games have always been an important part of people’s everyday lives. Traditionally, human-computer interaction (HCI) research was seen as a psychological cognitive science focused on human factors, with engineering sciences as the computer science part of it. Although cognitive science has made significant progress over the past decade, the influence of people’s emotions on design networks is increasingly important, especially when the primary goal is to challenge and entertain users (Norman 2002). Game developers have explored the key issues in game design and identified that the driving force in the success of games is user experience. User-centered design integrates knowledge of users’ activity practices, needs, and preferences into the design process. Geocaching is a location-based treasure hunt game created by a community of players. Players use GPS (Global Position System) technology to find “treasures” and create their own geocaches; the game can be developed when the players invent caches and used more imagination to creations the caches. This doctoral dissertation explores user experience of geocaching and its applications in tourism and education. Globally, based on the Geocaching.com webpage, geocaching has been played about 180 countries and there are more than 10 million registered geocachers worldwide (Geocaching.com, 25.11.2014). This dissertation develops and presents an interaction model called the GameFlow Experience model that can be used to support the design of treasure hunt applications in tourism and education contexts. The GameFlow Model presents and clarifies various experiences; it provides such experiences in a real-life context, offers desirable design targets to be utilized in service design, and offers a perspective to consider when evaluating the success of adventure game concepts. User-centered game designs have adapted to human factor research in mainstream computing science. For many years, the user-centered design approach has been the most important research field in software development. Research has been focusing on user-centered design in software development such as office programs, but the same ideas and theories that will reflect the needs of a user-centered research are now also being applied to game design (Charles et al. 2005.) For several years, we have seen a growing interest in user experience design. Digital games are experience providers, and game developers need tools to better understand the user experience related to products and services they have created. This thesis aims to present what the user experience is in geocaching and treasure hunt games and how it can be used to develop new concepts for the treasure hunt. Engineers, designers, and researchers should have a clear understanding of what user experience is, what its parts are, and most importantly, how we can influence user satisfaction. In addition, we need to understand how users interact with electronic products and people, and how different elements synergize their experiences. This doctoral dissertation represents pioneering work on the user experience of geocaching and treasure hunt games in the context of tourism and education. The research also provides a model for game developers who are planning treasure hunt concepts.Teknologinen kehitys on tarjonnut uusia tapoja hyödyntää viihdettä ja peliteknologiaa ihmisten välisessä vuorovaikutuksessa. Pelit ja niiden pelaaminen on ollut aina tärkeä osa ihmisten arkipäivää. Ihmisen ja tietokoneen välisen vuorovaikutuksen tutkimus, human-computer interaction research (HCI), on perinteisesti nähty kognitiivisena psykologiana, johon kuuluvat inhimilliset tekijät, sekä insinööritieteenä, johon sisältyy tietojenkäsittelytiede. Vaikka kognitiivinen tiede on kehittynyt viime vuosina valtavasti, suunnitteluverkostoihin vaikuttavat ihmisten tunteet ovat yhä tärkeämmässä osassa, erityisesti silloin kun tavoitteena on haastaa ja viihdyttää käyttäjiä. (Norman 2002.) Pelinkehittäjät ovat selvittäneet pelisuunnittelun kannalta olennaisia tekijöitä ja tunnistaneet, että pelien menestyksen salaisuus on käyttäjäkokemus. Käyttäjäkeskeisessä suunnittelussa käyttäjien toiminnan käytäntöjen, tarpeiden ja toiveiden tuntemus tuodaan mukaan suunnitteluprosessiin. Geokätköily on paikannukseen perustuva aarteenetsintäpeli, jonka pelaajat ovat luoneet yhdessä. Pelaajat käyttävät GPS-teknologiaa "aarteiden" etsimiseen ja lisäävät omia geokätkökohteita ja peli kehittyy jatkuvasti pelaajien keksiessä kätköjä, jotka vaativat yhä enemmän mielikuvitusta. Tässäväitöskirjassa tutkitaan geokätköilyn käyttäjäkokemusta ja sen sovelluksia koulutuksen- ja matkailunaloilla. Perustuen Geocaching.com websivustoon geokätköilyä pelataan noin 180 maassa, ja rekisteröityneitä käyttäjiä on yli kymmenen miljoonaa eri puolilla maailmaa (Geocaching.com, 25.11.2014). Tässä tutkielmassa esitellään vuorovaikutusmalli nimeltään GameFlow Experience -mallia, jota voidaan käyttää aarteenetsintäsovellusten suunnittelussa koulutuksen- ja matkailualojen konteksteissa. GameFlow Experience -malli esittelee ja selventää erilaisia kokemuksia - se esittelee ne todellisessa kontekstissa, tarjoaa erilaisia suunnittelutavoitteita palvelusuunnittelua varten sekä näkökulman, joka tulisi ottaa huomioon seikkailupelien menestystä arvioitaessa. Käyttäjäkeskeisessä pelisuunnittelussa on sovellettu inhimillisten tekijöiden tutkimusta valtavirran tietojenkäsittelytieteeseen. Useiden vuosien ajan, käyttäjäkeskeisen suunnittelun lähestymistavasta on tullut tärkein tutkimusala ohjelmistokehityksessä. Tutkimus on keskittynyt ohjelmistojen kehitykseen käyttäjäkeskeisessä suunnittelussa etenkin toimisto-ohjelmistoihin, mutta samoja ideoita ja teorioita, jotka heijastavat yhteiskunnan tarpeita käyttäjäkeskeisessä tutkimuksessa sovelletaan nyt myös pelisuunnitteluun. (Charles ja ym. 2005.) Kiinnostus käyttäjäkokemuksen suunnitteluun on kasvanut jo useiden vuosien ajan. Digitaaliset pelit tarjoavat kokemuksia, ja pelisuunnittelijat tarvitsevatkin työkaluja, joiden avulla voidaan entistä paremmin ymmärtää tuotteiden ja palvelujen luomia käyttäjäkokemuksia. Tutkimuksen tavoitteena on esitellä käyttäjäkokemusta ja miten sitä voidaan käyttää uusien aarteenmetsästyskonseptien kehittämiseen. Insinööreillä, suunnittelijoilla ja tutkijoilla tulisi olla selkeä käsitys siitä, mikä käyttäjäkokemus on, mitkä ovat sen osat ja mikä tärkeintä, miten voimme vaikuttaa käyttäjän tyytyväisyyteen. Lisäksi pitäisi ymmärtää, miten käyttäjät toimivat elektronisten tuotteiden kanssa sekä miten ihmiset toimivat vuorovaikutuksessa toistensa kanssa ja miten eri osat vaikuttavat yhdessä käyttäjien kokemuksiin. Väitöskirja on pioneerityö käyttäjäkokemuksesta geokätköilyssä ja aarteenetsintä peleissä matkailun ja opetuksen kontekstissa. Tutkimus antaa myös mallin pelin kehittäjille, jotka suunnittelevat aarteenetsintäkonsepteja.Siirretty Doriast

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning

Traditional centralized multi-agent reinforcement learning (MARL) algorithms are sometimes unpractical in complicated applications, due to non-interactivity between agents, curse of dimensionality and computation complexity. Hence, several decentralized MARL algorithms are motivated. However, existing decentralized methods only handle the fully cooperative setting where massive information needs to be transmitted in training. The block coordinate gradient descent scheme they used for successive independent actor and critic steps can simplify the calculation, but it causes serious bias. In this paper, we propose a flexible fully decentralized actor-critic MARL framework, which can combine most of actor-critic methods, and handle large-scale general cooperative multi-agent setting. A primal-dual hybrid gradient descent type algorithm framework is designed to learn individual agents separately for decentralization. From the perspective of each agent, policy improvement and value evaluation are jointly optimized, which can stabilize multi-agent policy learning. Furthermore, our framework can achieve scalability and stability for large-scale environment and reduce information transmission, by the parameter sharing mechanism and a novel modeling-other-agents methods based on theory-of-mind and online supervised learning. Sufficient experiments in cooperative Multi-agent Particle Environment and StarCraft II show that our decentralized MARL instantiation algorithms perform competitively against conventional centralized and decentralized methods.Comment: arXiv admin note: text overlap with arXiv:1810.02912, arXiv:1803.11485 by other author