The Use of Adaptive Negotiation by a Shopping Agent in Agent-Mediated Electronic Commerce

Oprea, Mihaela

doi:10.1007/3-540-45023-8_57

Cited by 22 publications

(32 citation statements)

References 4 publications

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“…Many of the models in the areas of social simulation, self-organisation, ant computing, and swarm intelligence belong to this class, and often are purely behavioural, described in a reactive manner by stimulus-response-like associations; the complexity emerges from the interaction of large numbers of such simple agents, and the environment. [5] (logical); [3], [42], [56] (numerical); [11], [13], [17], [1], [46], [32], [37], [51], [58], [60], [61], [36] (hybrid); [4], [21], [6], [7], [10] (transitions, automata, Petri nets) behavioural [52], [53], [26], [14] (social simulation, swarm intelligence); [27] (emotion contagion); [54] (analysis)…”

Section: Discussion and Classification Of Existing Modelsmentioning

confidence: 99%

A Three-Dimensional Abstraction Framework to Compare Multi-Agent System Models

Bosse

Hoogendoorn

Klein

et al. 2010

Computational Collective Intelligence. Technologies and Applications

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Models of agents or multiagent systems in a certain application area can be made at different levels of abstraction. The aim of this paper is to clarify different dimensions of abstraction. The three dimensions of considered are: the process abstraction dimension, the temporal dimension, and the agent cluster dimension. Thus a three-dimensional framework is obtained in which different types of multi-agent system models can be classified. For a number of multiagent system models in different application areas from the literature it is discussed how they fit in the framework.

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Section: Discussion and Classification Of Existing Modelsmentioning

confidence: 99%

A Three-Dimensional Abstraction Framework to Compare Multi-Agent System Models

Bosse

Hoogendoorn

Klein

et al. 2010

Computational Collective Intelligence. Technologies and Applications

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show abstract

“…In references [11], [12] an agent applies the predictive mechanism only at the pre-final step of the process, in order to increase the likelihood of achieving an agreement, and to produce an outcome of maximal utility. An older work concerning single-lag predictions in agents' strategy can be found in [13]. Trading scenarios via an internet platform are facilitated with the use of SmartAgent, enhanced with predictive decision making.…”

Section: Definitions Terminology and Related Workmentioning

confidence: 99%

“…In references [17][18][19] a negotiating agent enhanced with predictive ability in order to determine the sequence of optimal offers "knowing" the sequence of opponent's responses, has been implemented. This paper is focused on single-lag predictions and builds on Oprea 's earlier work [13], extending the strategy of the predictive agents to support negotiations over multiple issues (and not just single-issued as described in Oprea). Additionally a variation of the strategic rule is provided with the scope to generate different types of behaviors with respect to the agent's attitude towards risk.…”

Section: Definitions Terminology and Related Workmentioning

confidence: 99%

“…The risk-seeking agent is willing to spend all the remaining time until expiration of his deadline engaging in an adaptive behavior to turn the estimations of his counterpart's responses to profit. This risk-seeking behavior is based on the one discussed [13], and is extended to support multiple issues. More specifically:…”

Section: Extending the Strategy Of Predictive Agents To Support Multimentioning

confidence: 99%

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Predictive Automated Negotiators Employing Risk-Seeking and Risk-Averse Strategies

Masvoula

Halatsis

Martakos

2011

Engineering Applications of Neural Networks

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Abstract. Intelligent agents that seek to automate various stages of the negotiation process are often enhanced with models of computational intelligence extending the cognitive abilities of the parties they represent. This paper is focused on predictive strategies employed by automated negotiators, and particularly those based on forecasting the counterpart's responses. In this context a strategy supporting negotiations over multiple issues is presented and assessed. Various behaviors emerge with respect to negotiator's attitude towards risk, resulting to different utility gains. Forecasting is conducted with the use of Multilayer Perceptrons (MLPs) and the training set is extracted online during the negotiation session. Two cases are examined: in the first separate MLPs are used for the estimations of each negotiable attribute, whereas in the second a single MLP is used to estimate the counterpart's response. Experiments are conducted to search the architecture of the MLPs.

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“…For adaptive agent based negotiation, Oliver [8] showed that agents could learn strategies using a genetic algorithm-based learning technique and Oprea [9] proposed a negotiation system that used a feed forward artificial neural network as the learning ability of a negotiation model in the context of agent-based e-commerce. These studies have shown satisfying results on negotiation under long-term deadlines; however, their systems require longer time interval to obtain better deals.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Automated Negotiation System Using Multi-attributes in the Online Environment

Park

Yang

2004

Lecture Notes in Computer Science

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Abstract. In this paper we propose an efficient negotiation agent system that guarantees the reciprocity of the attendants in a bilateral negotiation on the ecommerce. The proposed negotiation agent system exploits incremental learning based on artificial neural networks to generate counter-offers and is trained by the previous offers that have been rejected by the other party. During a negotiation, the software agents on behalf of the buyer and the seller negotiate each other by considering the multi-attributes of a product. The experimental results show that the proposed negotiation system achieves better agreements than other negotiation agent systems that can be operable under the realistic and practical environment. Furthermore, the proposed system carries out negotiations about twenty times faster than other negotiation systems on the average.

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The Use of Adaptive Negotiation by a Shopping Agent in Agent-Mediated Electronic Commerce

Cited by 22 publications

References 4 publications

A Three-Dimensional Abstraction Framework to Compare Multi-Agent System Models

A Three-Dimensional Abstraction Framework to Compare Multi-Agent System Models

Predictive Automated Negotiators Employing Risk-Seeking and Risk-Averse Strategies

An Efficient Automated Negotiation System Using Multi-attributes in the Online Environment

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