Intelligent Systems and Technology (TIST)


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ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems, Volume 4 Issue 2, March 2013

Section: 1 - Special Section on Agent Communication

Introduction to the special section on agent communication
Amit K. Chopra, Alexander Artikis, Jamal Bentahar, Frank Dignum
Article No.: 19
DOI: 10.1145/2438653.2438654

Research directions in agent communication
Amit K. Chopra, Alexander Artikis, Jamal Bentahar, Marco Colombetti, Frank Dignum, Nicoletta Fornara, Andrew J. I. Jones, Munindar P. Singh, Pinar Yolum
Article No.: 20
DOI: 10.1145/2438653.2438655

Increasingly, software engineering involves open systems consisting of autonomous and heterogeneous participants or agents who carry out loosely coupled interactions. Accordingly, understanding and specifying communications among...

Formalizing and verifying protocol refinements
Scott N. Gerard, Munindar P. Singh
Article No.: 21
DOI: 10.1145/2438653.2438656

A (business) protocol describes, in high-level terms, a pattern of communication between two or more participants, specifically via the creation and manipulation of the commitments between them. In this manner, a protocol offers both flexibility...

Constitutive and regulative specifications of commitment protocols: A decoupled approach
Matteo Baldoni, Cristina Baroglio, Elisa Marengo, Viviana Patti
Article No.: 22
DOI: 10.1145/2438653.2438657

Interaction protocols play a fundamental role in multiagent systems. In this work, after analyzing the trends that are emerging not only from research on multiagent interaction protocols but also from neighboring fields, like research on workflows...

Section: 2 - Special Section on Trust in Multiagent Systems

Introduction to special section on trust in multiagent systems
Rino Falcone, Munindar P. Singh
Article No.: 23
DOI: 10.1145/2438653.2438658

A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids
Jie Zhang, Robin Cohen
Article No.: 24
DOI: 10.1145/2438653.2438659

In this article, we present a framework of use in electronic marketplaces that allows buying agents to model the trustworthiness of selling agents in an effective way, making use of seller ratings provided by other buying agents known as advisors....

Building and using social structures: A case study using the agent ART testbed
Elisabetta Erriquez, Wiebe van der Hoek, Michael Wooldridge
Article No.: 25
DOI: 10.1145/2438653.2438660

This article investigates the conjecture that agents who make decisions in scenarios where trust is important can benefit from the use of a social structure, representing the social relationships that exist between agents. We propose...

Stereotypical trust and bias in dynamic multiagent systems
Chris Burnett, Timothy J. Norman, Katia Sycara
Article No.: 26
DOI: 10.1145/2438653.2438661

Large-scale multiagent systems have the potential to be highly dynamic. Trust and reputation are crucial concepts in these environments, as it may be necessary for agents to rely on their peers to perform as expected, and learn to avoid...

From manifesta to krypta: The relevance of categories for trusting others
Rino Falcone, Michele Piunti, Matteo Venanzi, Cristiano Castelfranchi
Article No.: 27
DOI: 10.1145/2438653.2438662

In this article we consider the special abilities needed by agents for assessing trust based on inference and reasoning. We analyze the case in which it is possible to infer trust towards unknown counterparts by reasoning on abstract classes or...

Section: 3 - Special Section on Intelligent Tutoring and Coaching Systems

Introduction to the special section on intelligent tutoring and coaching systems
Qing Li, Xiangfeng Luo, Liu Wenyin, Cristina Conati
Article No.: 28
DOI: 10.1145/2438653.2438663

Tractable POMDP representations for intelligent tutoring systems
Jeremiah T. Folsom-Kovarik, Gita Sukthankar, Sae Schatz
Article No.: 29
DOI: 10.1145/2438653.2438664

With Partially Observable Markov Decision Processes (POMDPs), Intelligent Tutoring Systems (ITSs) can model individual learners from limited evidence and plan ahead despite uncertainty. However, POMDPs need appropriate representations to become...

LONET: An interactive search network for intelligent lecture path generation
Neil Y. Yen, Timothy K. Shih, Qun Jin
Article No.: 30
DOI: 10.1145/2438653.2438665

Sharing resources and information on the Internet has become an important activity for education. In distance learning, instructors can benefit from resources, also known as Learning Objects (LOs), to create plenteous materials for specific...

Personalized reading support for second-language web documents
Yo Ehara, Nobuyuki Shimizu, Takashi Ninomiya, Hiroshi Nakagawa
Article No.: 31
DOI: 10.1145/2438653.2438666

A novel intelligent interface eases the browsing of Web documents written in the second languages of users. It automatically predicts words unfamiliar to the user by a collective intelligence method and glosses them with their meaning in advance....

Intelligent systems and technology for integrative and predictive medicine: An ACP approach
Fei-Yue Wang, Pak Kin Wong
Article No.: 32
DOI: 10.1145/2438653.2438667

One of the principal goals in medicine is to determine and implement the best treatment for patients through fastidious estimation of the effects and benefits of therapeutic procedures. The inherent complexities of physiological and pathological...

A parts-based approach for automatic 3D shape categorization using belief functions
Hedi Tabia, Mohamed Daoudi, Jean-Philippe Vandeborre, Olivier Colot
Article No.: 33
DOI: 10.1145/2438653.2438668

Grouping 3D objects into (semantically) meaningful categories is a challenging and important problem in 3D mining and shape processing. Here, we present a novel approach to categorize 3D objects. The method described in this article, is a...

Learning image-to-class distance metric for image classification
Zhengxiang Wang, Yiqun Hu, Liang-Tien Chia
Article No.: 34
DOI: 10.1145/2438653.2438669

Image-To-Class (I2C) distance is a novel distance used for image classification and has successfully handled datasets with large intra-class variances. However, it uses Euclidean distance for measuring the distance between local features in...

A fully online and unsupervised system for large and high-density area surveillance: Tracking, semantic scene learning and abnormality detection
Xuan Song, Xiaowei Shao, Quanshi Zhang, Ryosuke Shibasaki, Huijing Zhao, Jinshi Cui, Hongbin Zha
Article No.: 35
DOI: 10.1145/2438653.2438670

For reasons of public security, an intelligent surveillance system that can cover a large, crowded public area has become an urgent need. In this article, we propose a novel laser-based system that can simultaneously perform tracking, semantic...