Agents for educational games and simulations

This book consists mainly of revised papers that were presented at the Agents for Educational Games and Simulation (AEGS) workshop held on May 2, 2011, as part of the Autonomous Agents and MultiAgent Systems (AAMAS) conference in Taipei, Taiwan. The 12 full papers presented were carefully reviewed and selected from various submissions. The papers are organized topical sections on middleware applications, dialogues and learning, adaption and convergence, and agent applications

Virtual Reality Games for Motor Rehabilitation

This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

Intelligence by Design: Principles of Modularity and Coordination for Engineerin

All intelligence relies on search --- for example, the search for an intelligent agent's next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the primary source of bias is engineering. This dissertation describes an approach, Behavior-Oriented Design (BOD) for engineering complex agents. A complex agent is one that must arbitrate between potentially conflicting goals or behaviors. Behavior-oriented design builds on work in behavior-based and hybrid architectures for agents, and the object oriented approach to software engineering. The primary contributions of this dissertation are: 1.The BOD architecture: a modular architecture with each module providing specialized representations to facilitate learning. This includes one pre-specified module and representation for action selection or behavior arbitration. The specialized representation underlying BOD action selection is Parallel-rooted, Ordered, Slip-stack Hierarchical (POSH) reactive plans. 2.The BOD development process: an iterative process that alternately scales the agent's capabilities then optimizes the agent for simplicity, exploiting tradeoffs between the component representations. This ongoing process for controlling complexity not only provides bias for the behaving agent, but also facilitates its maintenance and extendibility. The secondary contributions of this dissertation include two implementations of POSH action selection, a procedure for identifying useful idioms in agent architectures and using them to distribute knowledge across agent paradigms, several examples of applying BOD idioms to established architectures, an analysis and comparison of the attributes and design trends of a large number of agent architectures, a comparison of biological (particularly mammalian) intelligence to artificial agent architectures, a novel model of primate transitive inference, and many other examples of BOD agents and BOD development

Pursuing fit: a grounded theory of e-recruitment in Namibia – an integrated jobseeker and agency perspective

The purpose of this study was to identify the main concern of jobseekers and recruitment agencies in electronic recruitment (e-recruitment) and determine how it was resolved. The country of Namibia was chosen for the study because many of its jobseekers and recruitment agencies are adopting e-recruitment to overcome challenges in their recruitment context. In order to meet the purpose of the study, Classic Grounded Theory Methodology (classic-GTM) was used. Through the application of classic-GTM it emerged that jobseekers' and recruitment agencies' perspectives on e-recruitment are varied and shifting, which together with the dynamics in information technology bring many possibilities and fluidity of stakeholders' behaviour. Therefore, jobseekers and recruitment agencies are mainly concerned about Fit or lack thereof between their conceptualizations of Objects of Concern (namely information technology, jobseekers, job providers (recruitment agencies and employers) and jobs) in such a dynamic environment. Pursuing Fit emerged as the core variable (core category) representing how the participants continuously resolved their main concern. Two sub-categories constituting Pursuing Fit are Interpreting Fit and Positioning for Fit and they explain how stakeholders interpret e-recruitment concepts and position themselves and other Objects of Concern based on interpretation. Recruitment is likely to take place when Objects of Concern relate in a desirable (fitting) manner. The study's contribution to knowledge is through the theory of Pursuing Fit that suggests a systematic way of understanding e-recruitment and of conceptualizing information technology in e-recruitment to increase chances of recruitment. Implications common for both jobseekers and recruitment agencies are context awareness and flexibility. Context awareness allows stakeholders to interpret Objects of Concern based on the context and flexibility makes it possible to change from a previously held position. The study can be used as the foundation for research involving multiple stakeholders in e-recruitment. In conclusion, e-recruitment is a process of meaning creation in which stakeholders interpret concepts and based on the meanings relate the concepts with each other

LiDARPheno: A Low-Cost LiDAR-based 3D Scanning System for Plant Morphological Trait Characterization

The ever-growing world population brings the challenge for food security in the current world. The gene modification tools have opened a new era for fast-paced research on new crop identification and development. However, the bottleneck in the plant phenotyping technology restricts the alignment in Geno-pheno development as phenotyping is the key for the identification of potential crop for improved yield and resistance to the changing environment. Various attempts to making the plant phenotyping a “high-throughput” have been made while utilizing the existing sensors and technology. However, the demand for ‘good’ phenotypic information for linkage to the genome in understanding the gene-environment interactions is still a bottleneck in the plant phenotyping technologies. Moreover, the available technologies and instruments are inaccessible, expensive and sometimes bulky. This thesis work attempts to address some of the critical problems, such as exploration and development of a low-cost LiDAR-based platform for phenotyping the plants in-lab and in-field. A low-cost LiDAR-based system design, LiDARPheno, is introduced in this thesis work to assess the feasibility of the inexpensive LiDAR sensor in the leaf trait (length, width, and area) extraction. A detailed design of the LiDARPheno, based on low-cost and off-the-shelf components and modules, is presented. Moreover, the design of the firmware to control the hardware setup of the system and the user-level python-based script for data acquisition is proposed. The software part of the system utilizes the publicly available libraries and Application Programming Interfaces (APIs), making it easy to implement the system by a non-technical user. The LiDAR data analysis methods are presented, and algorithms for processing the data and extracting the leaf traits are developed. The processing includes conversion, cleaning/filtering, segmentation and trait extraction from the LiDAR data. Experiments on indoor plants and canola plants were performed for the development and validation of the methods for estimation of the leaf traits. The results of the LiDARPheno based trait extraction are compared with the SICK LMS400 (a commercial 2D LiDAR) to assess the performance of the developed system. Experimental results show a fair agreement between the developed system and a commercial LiDAR system. Moreover, the results are compared with the acquired ground truth as well as the commercial LiDAR system. The LiDARPheno can provide access to the inexpensive LiDAR-based scanning and open the opportunities for future exploration

Los Angeles County Arts Commission Cultural Equity and Inclusion Initiative Literature Review

This literature review is intended to investigate and provide background information on how others have addressed the question of improving "diversity in cultural organizations, in the areas of their leadership, staffing, programming and audience composition", both through academic research and practitioner experience. The literature lends these concepts into a division by slightly different categories, as follows: Boards of Directors in Arts and Culture Organizations The Arts and Culture Workforce Audiences and ProgrammingAudiences and programming are closely intertwined in the literature, and thus are combined in this report. Culturally specific arts organizations and their potential contribution to diversity, cultural equity and inclusion in the arts ecology emerged as a potentially powerful but not yet fully understood set of actors, so this topic was added as a fourth section in this report: Culturally Specific Arts OrganizationsThe report begins with a background discussion on diversity, cultural equity and inclusion in arts and culture, and it concludes with a series of broad lessons that emerged from the literature that apply to all four of the areas identified by the Board of Supervisors in their motion

What's your point? Insights from virtual reality on the relation between intention and action in the production of pointing gestures

Human communication involves the process of translating intentions into communicative actions. But how exactly do our intentions surface in the visible communicative behavior we display? Here we focus on pointing gestures, a fundamental building block of everyday communication, and investigate whether and how different types of underlying intent modulate the kinematics of the pointing hand and the brain activity preceding the gestural movement. In a dynamic virtual reality environment, participants pointed at a referent to either share attention with their addressee, inform their addressee, or get their addressee to perform an action. Behaviorally, it was observed that these different underlying intentions modulated how long participants kept their arm and finger still, both prior to starting the movement and when keeping their pointing hand in apex position. In early planning stages, a neurophysiological distinction was observed between a gesture that is used to share attitudes and knowledge with another person versus a gesture that mainly uses that person as a means to perform an action. Together, these findings suggest that our intentions influence our actions from the earliest neurophysiological planning stages to the kinematic endpoint of the movement itself