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Spectrum sensing is one of the key technologies to realize spectrum reuse and increase the spectrum efficiency in cognitive radio networks (CRNs). In this paper, we study energy-efficient cooperative multi-channel spectrum sensing in CRNs. We first propose a cooperative spectrum sensing and accessing (CSSA) scheme for all the secondary users (SUs). The SUs cooperatively sense the licensed channels...
In multi-agent system, social rationality is a desirable goal to achieve in terms of maximizing the global efficiency of the system. Using tag to select partners in agent populations has been shown to be successful to promote social rationality among agents in prisoner's dilemma game and anti-coordination game, but the results are not quite satisfactory. We develop a tag-based learning framework for...
Crowd sourcing is evolving as a distributed problem-solving and business production model in recent years. In crowd sourcing paradigm, tasks are distributed to networked people to complete such that a company's production cost can be greatly reduced. In 2003, Luis von Ahn and his colleagues pioneered the concept of "human computation", which utilizes human abilities to perform computation...
Social games provide a framework to study how individuals and groups of individuals interact with each other, and develop strategies to achieve their own well-defined objectives. This paper provides a co evolutionary analysis of how different strategies evolves in a class of social games. We describe a new formalism for modeling a player that is capable of learning and adapting its strategies to act...
Game theoretic adaptive algorithms can be successfully applied for distributed intelligent Cognitive Wireless Sensor Networks (CWSNs). The use of these algorithms avoids weaknesses of centralized CWSNs. In this paper, a noncooperative spectrum sharing game theoretic approach for CWSNs is proposed to determine the optimum spectrum demand. The main objectives of this approach are improving the flexibility,...
This paper presents an ongoing project that builds engaging, affectionate and effective pedagogical agents in 3D virtual worlds for learning. Employing the theory of Transformed Social Interaction (TSI), we design pedagogical agents with abilities of self-representation, emotional states reasoning and situational awareness. A prototype of a virtual quiz show, Quizmaster, has been implemented to realize...
We present a new strategy for studying trust determination, especially in the context of dynamic trust. We created a game in which the players start with neutral trust for each other, have assigned roles ("good'' or "bad'') and an incentive to deduce the roles of the other players, and are encouraged to take part in social and economic interactions with each other, thereby gathering data...
Standard models in bio-evolutionary game theory involve repetitions of a single stage game (e.g., the Prisoner's Dilemma or the Stag Hunt); but it is clear that repeatedly playing the {\em same} stage game is not an accurate model of most individuals' lives. Rather, individuals' interactions with others correspond to many different kinds of stage games. In this work, we concentrate on discovering...
In cognitive radio networks, the secondary users (SUs) can be selected as the cooperative relays to assist the transmission of the primary user (PU). In order to increase the utility, the PU needs to consider whether it is beneficial to use cooperative transmission and which SU should be chosen as the cooperative relay. In addition, if the PU selects a secondary relay, it needs to allocate time resources...
The criterion of fairness has not been given much attention in the research of multi-agent learning problem. We propose an adaptive strategy for agents to achieve fairness in repeated two-agent game with conflicting interests. In our strategy, each agent is equipped with inequity-averse based fairness model, and makes its decision according to its attractiveness for each action. Besides, each agent...
We utilize evolutionary game theory to study the evolution of cooperative societies and the behaviors of individual agents (i.e., players) in such societies. We present a novel player model based upon empirical evidence from the social and behavioral sciences stating that: (1) an individual's behavior may often be motivated not only by self-interest but also by the consequences for others, and (2)...
Based on the practical experience of developing web-based educational games in a joint universities project in Hong Kong, the authors discuss a `even-stage rapid game development model' with a `dynamic fine tuning' of team composition. Reflection on lessons learned from the practical experience is described.
In some resource allocation problems, the capacities of resources may change gradually or abruptly. We study a class of such resource allocation problems in this paper. The system consists of competitive agents that choose among several resources with changing capacities. The objective is that agents can adapt to the dynamic environment and make good utilisation of resources. We design an adaptive...
In the past few years, many new development toolkits such as the Nebula2 and/or mobile technologies including the WiFi or mobileTV have opened up exciting learning opportunities on mobile devices. On top of it, new technologies continue to fuel the rapid growth of newly merged fields of research like the edutainment for educational entertainment. In a recent teaching development project, we have developed...
Online buyer coalition formation problem is an application of e-commerce and distributed agent technology. So far, most works in this topic are social utility based approaches, which assume the agents' utilities to be transferable and publicly known. However, such assumptions are not valid in many software agents applications where agents beliefs are private, and stability is often a more important...
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