Affect and believability in game characters:a review of the use of affective computing in games

Virtual agents are important in many digital environments. Designing a character that highly engages users in terms of interaction is an intricate task constrained by many requirements. One aspect that has gained more attention recently is the effective dimension of the agent. Several studies have addressed the possibility of developing an affect-aware system for a better user experience. Particularly in games, including emotional and social features in NPCs adds depth to the characters, enriches interaction possibilities, and combined with the basic level of competence, creates a more appealing game. Design requirements for emotionally intelligent NPCs differ from general autonomous agents with the main goal being a stronger player-agent relationship as opposed to problem solving and goal assessment. Nevertheless, deploying an affective module into NPCs adds to the complexity of the architecture and constraints. In addition, using such composite NPC in games seems beyond current technology, despite some brave attempts. However, a MARPO-type modular architecture would seem a useful starting point for adding emotions

The economic psychology of value added tax compliance

VAT is a tax on consumer expenditure, collected on business transactions and assessed on the value added to goods and services. It applies, with some exceptions (for example, to young children’s clothes and shoes in the UK), to all goods and services that are bought and sold. VAT is a general tax (as it applies, in principle, to all commercial activities) and a consumption tax (as it is paid ultimately by the final consumer). It is not actually a tax on business, though some business owners do see it that way. In fact, whilst VAT is paid to the tax authorities by the seller of the goods or services, the tax is paid by the buyer to the seller as part of the tax and so, in essence, businesses are acting as unpaid tax collectors. VAT was first introduced in France in 1954, and subsequently has been extended, through a series of directives, to cover the whole of the European Union (EU). The system in the EU is now reasonably standardized, although different rates of VAT apply in different EU member states. The minimum standard rate in the EU is 15 percent, though lower rates are applied to certain services. Some goods and services are exempt from VAT throughout the EU (e.g., postal services, insurance, betting). In addition to spreading throughout Europe (member states are required to introduce VAT, so the increase in membership of the EU has inevitably increased the number of countries that use this system), VAT has also been introduced in a large number of other countries, notably China (Yeh, 1997), and India (after many delays) in 2005, so that now over 130 countries world-wide operate VAT. In the Caribbean, for example, Belize, Dominica, Guyana, and Antigua have all introduced VAT in the past two years. Other countries have introduced taxes that are classified as value added taxes, such as Australia, which now operates a General Sales Tax (GST). The introduction of VAT has been the major tax reform around the world in the past 25 years, and VAT is now of global significance and impact (Ebrill et al., 2001)

Enhancing Workflow with a Semantic Description of Scientific Intent

Peer reviewedPreprin

Dynamic systems as tools for analysing human judgement

With the advent of computers in the experimental labs, dynamic systems have become a new tool for research on problem solving and decision making. A short review on this research is given and the main features of these systems (connectivity and dynamics) are illustrated. To allow systematic approaches to the influential variables in this area, two formal frameworks (linear structural equations and finite state automata) are presented. Besides the formal background, it is shown how the task demands of system identification and system control can be realized in these environments and how psychometrically acceptable dependent variables can be derived

Conclave: secure multi-party computation on big data (extended TR)

Secure Multi-Party Computation (MPC) allows mutually distrusting parties to run joint computations without revealing private data. Current MPC algorithms scale poorly with data size, which makes MPC on "big data" prohibitively slow and inhibits its practical use. Many relational analytics queries can maintain MPC's end-to-end security guarantee without using cryptographic MPC techniques for all operations. Conclave is a query compiler that accelerates such queries by transforming them into a combination of data-parallel, local cleartext processing and small MPC steps. When parties trust others with specific subsets of the data, Conclave applies new hybrid MPC-cleartext protocols to run additional steps outside of MPC and improve scalability further. Our Conclave prototype generates code for cleartext processing in Python and Spark, and for secure MPC using the Sharemind and Obliv-C frameworks. Conclave scales to data sets between three and six orders of magnitude larger than state-of-the-art MPC frameworks support on their own. Thanks to its hybrid protocols, Conclave also substantially outperforms SMCQL, the most similar existing system.Comment: Extended technical report for EuroSys 2019 pape