Nontraditional student expectations and progression: a game theory approach

Laing, Christopher; Chao, Kuo-Ming; Robinson, Alan G.; Sun, Pu

doi:10.1109/fie.2002.1158219

Cited by 2 publications

(5 citation statements)

References 5 publications

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“…We are aware that time can be an important element in bargaining power (Laing et al, 2002). However, in the proposed architecture we can include factors related to time as issues for the utility functions.…”

Section: Discussionmentioning

confidence: 96%

“…These assumptions are not rational in real world cases. The Nash bargaining solution provides great insight into bargaining behaviours, but it is limited to a one-stage bargaining game (Laing et al, 2002;Osborne and Rubinstein, 1994). It does not consider multiple issues and incomplete information bargaining games.…”

Section: Discussionmentioning

confidence: 99%

“…It does not consider multiple issues and incomplete information bargaining games. The Alternating-Offer model (Laing et al, 2002) allows agents to take turns to make offers until the agreement is secured. This model employs the sub-game perfect equilibrium concept and the Nash bargaining solution to support the theory.…”

Section: Discussionmentioning

confidence: 99%

“…The proposed approach can locate a solution, which is Pareto efficient and is close to a Nash equilibrium. This approach has led to some contributions to agent-based automated negotiation and has been applied to different problem domains (Laing et al, 2002). However, there are no sophisticated negotiation strategies to instruct an agent how to carry out offer and counter-offer in an effective negotiation protocol.…”

Section: Introductionmentioning

confidence: 99%

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Combining Cooperative and Non-Cooperative Automated Negotiations

et al. 2005

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Automated negotiation is a key issue to facilitate eBusiness. It is an on-going research area and attracts attention from both research communities and industry. In this paper, we propose a multiple-stage co-operative automated negotiation architecture, including a sophisticated negotiation strategy and protocol, to resolve the agents' conflicts. This proposed architecture attempts to address the search for joint efficiency for negotiating agents in large and complex problem spaces using a co-evolutionary method. A game theoretic method is adapted to distribute the payoffs generated from the co-evolutionary method. The architecture supports interactions between the two methods to demonstrate that high-quality solutions can be found through their complimentary functions. Using the structure it is possible to refine and explore potential agreements through an iterated process. This article also reports some experimental results and discussions.

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Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Combining Cooperative and Non-Cooperative Automated Negotiations

et al. 2005

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“…After a number of iterations, a solution, which is a Paretoefficiency and is close to a Nash equilibrium, is found. This approach has led to some contributions to agentbased automated negotiation and has been applied to different problem domains [17,18]. However, this approach is limited to non-cooperative negotiation.…”

Section: Introductionmentioning

confidence: 99%

Degree of satisfaction in agent negotiation

Chao

Younas

Anane

et al.

IEEE International Conference on E-Commerce, 2003. CEC 2003.

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Agent negotiation over multiple issues is often seen as the process of searching for a solution in a complex and large space. Depending on the negotiation mechanism such search space can be dynamic wherein agents may be cooperative or non-cooperative. In a realistic negotiation, agents are unwilling to reveal their utility functions to their opponents or collaborators. These important characteristics of negotiation increase the complexity of the design of efficient and effective negotiation agents. In this paper, we propose a novel approach that combines a co-evolutionary mechanism with the notion of degree of satisfaction. The former effectively searches the space, while the latter improves negotiation efficiency. Agents under the proposed scheme can carry out cooperative , or non-cooperative, without revealing their utility functions. The proposed approach is implemented as a prototype system and evaluated through a number of experiments. The evaluation shows the effectiveness of the proposed approach in cooperation and non-cooperation.

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Nontraditional student expectations and progression: a game theory approach

Cited by 2 publications

References 5 publications

Combining Cooperative and Non-Cooperative Automated Negotiations

Combining Cooperative and Non-Cooperative Automated Negotiations

Degree of satisfaction in agent negotiation

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