Part I. Experimental Studies: 2. Experiment in psychology 3. Experiments on perceiving III Experiments on imaging 4-8. Experiments on remembering: (a) The method of description (b) The method of repeated reproduction (c) The method of picture writing (d) The method of serial reproduction (e) The method of serial reproduction picture material 9. Perceiving, recognizing, remembering 10. A theory of remembering 11. Images and their functions 12. Meaning Part II. Remembering as a Study in Social Psychology: 13. Social psychology 14. Social psychology and the matter of recall 15. Social psychology and the manner of recall 16. Conventionalism 17. The notion of a collective unconscious 18. The basis of social recall 19. A summary and some conclusions.

Remembering. A Study in Experimental and Social Psychology, Cambridge (University Press) 1964.

by J. Biggs and C. Tang, Maidenhead, England,
Open University Press, 2007, 360 pp., £29.99, ISBN-13: 978-0-335-22126-4

Teaching for quality learning at university

Rapid advances in industrial information integration methods have spurred tremendous growth in the use of enterprise systems. Consequently, a variety of techniques have been used for probing enterprise systems. These techniques include business process management, workflow management, Enterprise Application Integration (EAI), Service-Oriented Architecture (SOA), grid computing, and others. Many applications require a combination of these techniques, which is giving rise to the emergence of enterprise systems. Development of the techniques has originated from different disciplines and has the potential to significantly improve the performance of enterprise systems. However, the lack of powerful tools still poses a major hindrance to exploiting the full potential of enterprise systems. In particular, formal methods and systems methods are crucial for modeling complex enterprise systems, which poses unique challenges. In this paper, we briefly survey the state of the art in the area of enterprise systems as they relate to industrial informatics.

Enterprise Systems: State-of-the-Art and Future Trends

Though research on the Semantic Web has progressed at a steady pace, its promise has yet to be realized. One major difficulty is that, by its very nature, the Semantic Web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each source. We cannot expect each user to know the trustworthiness of each source, nor would we want to assign top-down or global credibility values due to the subjective nature of trust. We tackle this problem by employing a web of trust, in which each user maintains trusts in a small number of other users. We then compose these trusts into trust values for all other users. The result of our computation is not an agglomerate "trustworthiness" of each user. Instead, each user receives a personalized set of trusts, which may vary widely from person to person. We define properties for combination functions which merge such trusts, and define a class of functions for which merging may be done locally while maintaining these properties. We give examples of specific functions and apply them to data from Epinions and our BibServ bibliography server. Experiments confirm that the methods are robust to noise, and do not put unreasonable expectations on users. We hope that these methods will help move the Semantic Web closer to fulfilling its promise.

Trust management for the Semantic Web

Arthur Chickering is Distinguished Professor of Higher Education at Memphis State University. On leave from the Directorship of the Center for the Study of Higher Education at Memphis State, he is Visiting Professor at George Mason University. Zelda Gamson is a sociologist who holds appointments at the John W. McCormack Institute of Public Affairs at the University of Massachusetts-Boston and in the Center for the Study of Higher and Postsecondary Education at the University of Michigan.

Seven Principles for Good Practice in Undergraduate Education: Faculty Inventory. Institutional Inventory.

Software configuration management (SCM) systems are very important for coordinating group efforts in developing large and complex software systems. The ability to support concurrent software development is the key to deliver high quality software with low time-to-market, where merging is the core enabling technique. Textual merging is the primary and the only successful merging function available in today's SCM systems. However none of them supports complete textual merging, which is not only very useful itself but also the foundation for syntactic and semantic textual merging. In this paper we propose a novel operation-based textual merging algorithm, which has the capability of supporting complete textual merging while still preserving the intentions of individual editing operations

A complete textual merging algorithm for software configuration management systems

With the development of new web technologies, web-based collaborative applications, exemplified by office applications, are emerging to take advantage of web's attractive features. We propose to plug a collaborative engine into web-based office applications so that advanced collaboration capabilities can be seamlessly integrated without compromising or modifying their conventional capabilities. This engine lies on application-independent data addressing and operation models to be reusable for a wide range of diverse applications without being modified. in this paper, we present a data addressing model for web-based word processors, which complies with the model used by the engine and shall lay a good foundation for investigating data addressing models for other web-based applications.

integrating advanced collaborative capabilities into web-based word processors

Recent years have witnessed the emergence and rapid development of collaborative Web-based applications exemplified by Web-based office productivity applications. One major challenge in building these applications is maintaining data consistency while meeting the requirements of fast local response, total work preservation, unconstrained interaction, and customizable collaboration mode. These requirements are important in determining users’ experiences in interaction and collaboration, and in meeting users’ diverse needs under complex and dynamic collaboration and networking environments; but none of existing solutions is able to meet all of them. In this article, we present a data consistency maintenance solution capable of meeting these requirements for collaborative Web-based applications. Major technical contributions include an efficient sequence-based operation transformation control algorithm based on the concept of contextualization, an operation broadcast protocol for supporting a variety of collaboration modes, an operation replaying algorithm for ensuring fast local response and efficient remote operation replay, and a set of communication protocols for managing the integrity of collaborative Web-based sessions. The proposed solution has been implemented in a prototype collaborative Web-based editor WRACE and the correctness of the solution is formally verified in the article.

Achieving Data Consistency by Contextualization in Web-Based Collaborative Applications

Network latency imposes a major hinderance on the responsiveness and consistency of a Multi-Player Online Game (MPOG). In past decades, several network topologies and latency handling solutions have been proposed and adopted in a variety of MPOGs. Another issue closely related to latency is jitter, which is caused by the variation of latency. Most of the existing MPOGs adopt a simplistic approach to tackling jitter: when one's varying latency exceeds a threshold, one will be forced to leave the game; otherwise latency is treated constant or estimated from historical data. However, forcing a player to quit in the middle of a game simply because of a spike of unusual lengthy latency has a significant negative impact on both the fairness of the game and the player's gameplay quality of experience (QoE). In this paper, we propose an alternative approach that instead conceals jitter by seamlessly and transparently switching between a remote human player and their intelligent agent that resembles them. To model such an intelligent agent, we further contribute a novel technique referred to as predictive modeling of user behaviour (PREMUB), which predicts an object's future state based on how the remote player interacts with the object in the past. We have also developed an online table tennis game to demonstrate this idea and compare the prediction accuracy between using PREMUB and using the existing technique of dead reckoning that does not consider a user's playing pattern.

Haifeng Shen

Papers

A complete textual merging algorithm for software configuration management systems

integrating advanced collaborative capabilities into web-based word processors

Achieving Data Consistency by Contextualization in Web-Based Collaborative Applications

Concealing jitter in Multi-Player Online Games through predictive behaviour modeling

RECIPE: A Web-based Environment for Supporting Real-time Collaborative Programming