Issue Downloads
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
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 agents is a key ...
Formalizing and verifying protocol refinements
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 and ...
Constitutive and regulative specifications of commitment protocols: A decoupled approach
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 and ...
A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids
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. The ...
Building and using social structures: A case study using the agent ART testbed
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 techniques that can ...
Stereotypical trust and bias in dynamic multiagent systems
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 untrustworthy ...
From manifesta to krypta: The relevance of categories for trusting others
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 ...
Tractable POMDP representations for intelligent tutoring systems
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
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 learning ...
Personalized reading support for second-language web documents
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. If the ...
Intelligent systems and technology for integrative and predictive medicine: An ACP approach
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
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 belief-...
Learning image-to-class distance metric for image classification
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 different ...
A fully online and unsupervised system for large and high-density area surveillance: Tracking, semantic scene learning and abnormality detection
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 scene ...
A conformant planner based on approximation: CpA(H)
This article describes the planner CpA(H), the recipient of the Best Nonobservable Nondeterministic Planner Award in the “Uncertainty Track” of the 6th International Planning Competition (IPC), 2008. The article presents the various techniques that help ...