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

Examining the use of computer simulations to promote learning of electrochemistry among college students

When computer simulations are popular in helping students understand chemistry in today\u27s classrooms, it is important to realize how instructional use of computer simulations affects students\u27 understanding of science. This dissertation centers around the impact of the use of computer simulations on college students\u27 learning. Chapter 1 generally addresses the background and the significance of the research topics. Chapter 2 reviews the literature from research that studied the factors that affect the use of computer simulations in helping students learn science. Learners were found to understand science theories better with descriptions and explanations presented in both verbal and visual formats than in verbal format alone. An individual\u27s prior knowledge and learning strategies have also been found to have an impact on her/his response to computer simulations and therefore affect the potential value of computer simulations. Chapter 3 reveals the impact of the use of computer simulations on students\u27 understanding of electrochemistry principles. The results confirm findings in earlier studies that college students seemed to be able to build mental models of chemical reactions from formula and equations with or without the help of computer simulations. The study in Chapter 3 indicates that it is likely that the design of the learning activities rather than the use of technology actually had an impact on students learning. Chapter 4 provides insights into how the use of simulations affected the communication between group members and how individuals with different levels of prior knowledge responded to computer programs and interacted with peers. Although prior knowledge was not found to interact with the use of computer simulations in affecting students\u27 understanding, the findings in Chapter 4 show that prior knowledge seemed to affect the ways that students solved problems and the ways they interacted with the computer simulations.;Taken together, these three studies in this dissertation suggest continuing research needs to be done in identifying and resolving issues when individual differences are considered. In addition, it is important that the design of learning activities be given a higher level of priority than the use of instructional technology when employing computer simulations in the classrooms

Modeling supply chain interdependent critical infrastructure systems

While strategies for emergency response to large-scale disasters have been extensively studied, little has been done to map medium- to long-term strategies capable of restoring supply chain infrastructure systems and reconnecting such systems from a local urban area to national supply chain systems. This is, in part, because no comprehensive, data-driven model of supply chain networks exists. Without such models communities cannot re-establish the level of connectivity required for timely restoration of goods and services. This dissertation builds a model of supply chain interdependent critical infrastructure (SCICI) as a complex adaptive systems problem. It defines model elements, data needs/element, the interdependency of critical infrastructures, and suggests metrics for evaluating success. Previous studies do not consider the problem from a systematic view and therefore their solutions are piecemeal, rather than integrated with respect to both the model elements and geospatial data components. This dissertation details a methodology to understand the complexities of SCICI within a real urban framework (St. Louis, MO). Interdependencies between the infrastructures are mapped to evaluate resiliency and a framework for quantifying interdependence is proposed. In addition, this work details the identification, extraction and integration of the data necessary to model infrastructure systems --Abstract, page iv

The interpretations and uses of fitness landscapes in the social sciences

__Abstract__ This working paper precedes our full article entitled “The evolution of Wright’s (1932) adaptive field to contemporary interpretations and uses of fitness landscapes in the social sciences” as published in the journal Biology & Philosophy (http://link.springer.com/article/10.1007/s10539-014-9450-2). The working paper features an extended literature overview of the ways in which fitness landscapes have been interpreted and used in the social sciences, for which there was not enough space in the full article. The article features an in-depth philosophical discussion about the added value of the various ways in which fitness landscapes are used in the social sciences. This discussion is absent in the current working paper. Th

Animist interface : experiments in mapping character animation to computer interface

Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1997.Includes bibliographical references (leaves 55-58).by Richard W. Lachman.M.S

Intelligent Agents and Their Potential for Future Design and Synthesis Environment

This document contains the proceedings of the Workshop on Intelligent Agents and Their Potential for Future Design and Synthesis Environment, held at NASA Langley Research Center, Hampton, VA, September 16-17, 1998. The workshop was jointly sponsored by the University of Virginia's Center for Advanced Computational Technology and NASA. Workshop attendees came from NASA, industry and universities. The objectives of the workshop were to assess the status of intelligent agents technology and to identify the potential of software agents for use in future design and synthesis environment. The presentations covered the current status of agent technology and several applications of intelligent software agents. Certain materials and products are identified in this publication in order to specify adequately the materials and products that were investigated in the research effort. In no case does such identification imply recommendation or endorsement of products by NASA, nor does it imply that the materials and products are the only ones or the best ones available for this purpose. In many cases equivalent materials and products are available and would probably produce equivalent results

Social Architecture, Judicial Peer Effects and the Evolution of the Law: Toward a Positive Theory of Judicial Social Structure

Building upon the themes of this symposium, as well as a growing extant literature demonstrating the common law displays properties of a complex system, we believe existing theories of judicial decision-making and legal change would benefit from the concepts and techniques typically reserved for the study of complexity. Among possible approaches, network analysis offers one manner of representing the interactions between various entities across a complex system. Specifically, as applied to the path of the common law as well as theories of judicial decision-making, the networks paradigm helps evaluate the manner in which individual level judge choice maps to the judiciary\u27s aggregate doctrinal outputs. Of course, to the extent individual decision-making is driven by factors entirely intrinsic to a given case and a given jurist, the study of interactions is arguably trivial as the description of aggregate would reflect little more than the summation of individual preferences in a manner consistent with the institution\u27s aggregation rule. It is far more likely, however, that judicial choice is, at least in part, impacted by a combination of jurists who are socially prominent and socially proximate. While in some forms of network structure such peer effects are limited, in many states of the social world, they are supremely consequential. The precursor to evaluating potential doctrinal consequences is a classificatory effort designed to determine the micro implications of a given observed macro landscape. Section I provides a brief overview of complexity theory while simultaneously reviewing existing theories of judicial decision-making and legal change. Section II considers a series of classic network structures. Among the possibilities considered herein are random graphs, clustered graphs, as well models built upon processes of preferential attachment. Drawing from the larger complexity literature, Section II also describes the processes of self-organization likely responsible for generating each of these network structures. With an understanding of these possible states of the world in mind, Section III concludes with a consideration of judicial decision making, arguing the path of the law - from emergence to convergence - is conditioned, in part, upon the nature of self-organized social architecture that relevant decisional actors confront. In all, we believe architecture matters. Thus, our broad sweep of the possibility frontier should help identify the conditions under which network effects are present in the development of the common law