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

Reviewing agent-based modelling of socio-ecosystems: a methodology for the analysis of climate change adaptation and sustainability

The integrated - environmental, economic and social - analysis of climate change calls for a paradigm shift as it is fundamentally a problem of complex, bottom-up and multi-agent human behaviour. There is a growing awareness that global environmental change dynamics and the related socio-economic implications involve a degree of complexity that requires an innovative modelling of combined social and ecological systems. Climate change policy can no longer be addressed separately from a broader context of adaptation and sustainability strategies. A vast body of literature on agent-based modelling (ABM) shows its potential to couple social and environmental models, to incorporate the influence of micro-level decision making in the system dynamics and to study the emergence of collective responses to policies. However, there are few publications which concretely apply this methodology to the study of climate change related issues. The analysis of the state of the art reported in this paper supports the idea that today ABM is an appropriate methodology for the bottom-up exploration of climate policies, especially because it can take into account adaptive behaviour and heterogeneity of the system's components.Review, Agent-Based Modelling, Socio-Ecosystems, Climate Change, Adaptation, Complexity.

"A step into the abyss" Transmedia in the UK Games and Television Industries

This article uses a media industries studies perspective to investigate the current state of transmedia production in the UK. Analysing the discursive statements of a range of industry participants from both UK television and games industries, the article reveals a series of contradictions and misunderstandings that may be limiting the effectiveness of multi-platform projects. By comparing overlapping discursive patterns around attitudes to risk, measures of success, authorship between the two industries, and repeated concerns over the balance of creative and commercial imperatives, the article argues that existing hierarchies of power between media industries threaten to derail future convergence

Organizational Design and Resource Evaluation

A crucial problem of evaluating, discovering, and creating the value of resources remains at the center of the subject of business strategy. The present article draws on reliability theory to advance an analytical platform that can address part of this problem, the evaluation of resource value. Reliability theory offers a way to model managerial ability and to derive the evaluation properties of organizations, boards, teams and committees. It is shown how the problem of resource evaluation can be remedied by proper evaluation structures. An evaluation structure that is build out of a very few agents can achieve significant improvements. A simulation of the classical n-armed bandit problem shows how evaluation structures can help managers select innovations of better economic value.Reliability theory, resource value

A C-DAG task model for scheduling complex real-time tasks on heterogeneous platforms: preemption matters

Recent commercial hardware platforms for embedded real-time systems feature heterogeneous processing units and computing accelerators on the same System-on-Chip. When designing complex real-time application for such architectures, the designer needs to make a number of difficult choices: on which processor should a certain task be implemented? Should a component be implemented in parallel or sequentially? These choices may have a great impact on feasibility, as the difference in the processor internal architectures impact on the tasks' execution time and preemption cost. To help the designer explore the wide space of design choices and tune the scheduling parameters, in this paper we propose a novel real-time application model, called C-DAG, specifically conceived for heterogeneous platforms. A C-DAG allows to specify alternative implementations of the same component of an application for different processing engines to be selected off-line, as well as conditional branches to model if-then-else statements to be selected at run-time. We also propose a schedulability analysis for the C-DAG model and a heuristic allocation algorithm so that all deadlines are respected. Our analysis takes into account the cost of preempting a task, which can be non-negligible on certain processors. We demonstrate the effectiveness of our approach on a large set of synthetic experiments by comparing with state of the art algorithms in the literature