Sciweavers

IAT
2008
IEEE
13 years 11 months ago
Formalizing Multi-state Learning Dynamics
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
IAT
2008
IEEE
13 years 11 months ago
A Personalized Spam Filtering Approach Utilizing Two Separately Trained Filters
By feeding personal e-mails into the training set, personalized content-based spam filters are believed to classify e-mails in higher accuracy. However, filters trained by both sp...
Wei-Lun Teng, Wei-Chung Teng
IAT
2008
IEEE
13 years 11 months ago
Finding Minimum Data Requirements Using Pseudo-independence
In situations where Bayesian networks (BN) inferencing approximation is allowable, we show how to reduce the amount of sensory observations necessary and in a multi-agent context ...
Yoonheui Kim, Victor R. Lesser
IAT
2008
IEEE
13 years 11 months ago
Intent-Driven Insider Threat Detection in Intelligence Analyses
In intelligence analysis, information plays an important role in solving problems and making decisions. However, an increasing number of malicious behaviors, most of which come fr...
Eugene Santos Jr., Hien Nguyen, Fei Yu, Keum Joo K...
IAT
2008
IEEE
13 years 11 months ago
An Analysis of Entries in the First TAC Market Design Competition
This paper presents an analysis of entries in the first TAC Market Design Competition that compares the entries across several scenarios. The analysis complements previous work a...
Jinzhong Niu, Kai Cai, Peter McBurney, Simon Parso...
IAT
2008
IEEE
13 years 11 months ago
Obligations with Deadlines and Maintained Interdictions in Privacy Regulation Frameworks
We aim at providing artificial agents with logical tools to reason specifically on privacy-related regulations, in order to comply with them. In order to express these regulatio...
Guillaume Piolle, Yves Demazeau
IAT
2008
IEEE
13 years 11 months ago
Privacy Guarantees through Distributed Constraint Satisfaction
The reason for using distributed constraint satisfaction algorithms is often to allow agents to find a solution while revealing as little as possible about their variables and co...
Boi Faltings, Thomas Léauté, Adrian ...
IAT
2008
IEEE
13 years 11 months ago
Negotiation in Semi-cooperative Agreement Problems
In this paper we introduce the Semi-Cooperative Extended Incremental Multiagent Agreement Problem with Preferences (SC-EIMAPP). In SC-EIMAPPs, variables arise over time. For each ...
Elisabeth Crawford, Manuela M. Veloso
IAT
2008
IEEE
13 years 11 months ago
An Agent Modeling Language Implementing Protocols through Capabilities
In this paper we present how to use the Agent MOdeling LAnguage (AMOLA) to define agent interaction protocols and how to integrate these in an agent model. AMOLA provides the synt...
Nikolaos I. Spanoudakis, Pavlos Moraitis
IAT
2008
IEEE
13 years 11 months ago
Characterizing the Outcomes of Argumentation-Based Integrative Negotiation
In the negotiation literature we find two relatively distinct types of negotiation. The two types are known as integrative negotiations and distributive negotiations. Integrative...
Yannis Dimopoulos, Pavlos Moraitis, Leila Amgoud