Automated negotiation with behaviour prediction

Bala, Mohammad Irfan; Vij, Sheetal; Mukhopadhyay, Debajyoti

doi:10.1504/ijipt.2015.074339

Cited by 4 publications

(7 citation statements)

References 13 publications

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“…At the beginning of the 21st century, digitization led to an increase in the automation of negotiation. Automated negotiation grew increasingly important with the development of new technologies (i.e., artificial intelligent technology) for the web and e-commerce [15]. Popular online auctions increasingly utilize automated negotiation trade for e-commerce [15].…”

Section: Study Backgroundmentioning

confidence: 99%

“…Automated negotiation grew increasingly important with the development of new technologies (i.e., artificial intelligent technology) for the web and e-commerce [15]. Popular online auctions increasingly utilize automated negotiation trade for e-commerce [15]. There are several forms of automated negotiation: (1) human-to-human negotiation, (2) agent-to-agent negotiation and (3) agent-to-human negotiation [6].…”

Section: Study Backgroundmentioning

confidence: 99%

“…Meanwhile, agent-to-agent negotiation is described as software agents representing both parties of negotiators performing a negotiation process. The goals of these interactions are to make other agents take on a specific path of action (e.g., perform a specific service), change an intended course of action (e.g., delay or bring forward a specific activity so that there is no longer a conflict), or come to an agreement on a typical course of action [6,15]. Design for an automated negotiation agent for agent-to-human negotiation is totally different from agent-to-agent negotiation.…”

Section: Study Backgroundmentioning

confidence: 99%

“…Design for an automated negotiation agent for agent-to-human negotiation is totally different from agent-to-agent negotiation. Agents need to be equipped with a decision-making mechanism to adapt to a negotiating partner's behavior [15]. It is essential to explore the potential effects of the complexity of the negotiation assignment to gain more in-depth insights into agent-to-human negotiations [3].…”

Section: Study Backgroundmentioning

confidence: 99%

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A Study of Integrative Bargaining Model with Argumentation-Based Negotiation

et al. 2019

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E-commerce is increasingly competitive and there is a constant need for new approaches and technology to facilitate exchange. Emerging techniques include the use of artificial intelligence (AI). One AI tool that has sparked interest in e-commerce is the automated negotiation agent (negotiation-agent). This study examines such agents, and proposes an offer strategy model of integrative negotiation for a negotiation-agent with a focus on negotiation agent-to-human interaction. More specifically, a new offer strategy was developed based on the integrative bargaining model, which emphasizes the importance of exchanging information among negotiators and multi-issue negotiation that includes package offers to achieve an integrative (win-win) outcome. This study incorporated an argumentation-based negotiation and the negotiation tactic of multiple equivalent simultaneous offers, which was programmed into the negotiation-agent. An experiment was conducted performing 49 negotiation-agent-to-human negotiations over three issues in online purchase tasks to demonstrate the effectiveness of the proposed strategy. Experimental results indicated that the proposed offer strategy with agent negotiation can enhance the persuasiveness of an offer and the performance of negotiation outcome (human counterpart's perception toward negotiation process, opponent-agent and desire for future negotiation). The findings confirmed the effectiveness of the proposed design and demonstrated an innovative approach to e-commerce transactions.

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Section: Study Backgroundmentioning

confidence: 99%

Section: Study Backgroundmentioning

confidence: 99%

Section: Study Backgroundmentioning

confidence: 99%

Section: Study Backgroundmentioning

confidence: 99%

See 2 more Smart Citations

A Study of Integrative Bargaining Model with Argumentation-Based Negotiation

et al. 2019

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“…A prediction method of utility function gives good result to identify the behavior of opponents [5].…”

Section: Introductionmentioning

confidence: 99%

An Approach on Multilateral Automated Negotiation

Patrikar¹,

Vij²,

Mukhopadhyay³

2015

Procedia Computer Science

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In E-commerce, numbers of transactions are increasing day by day in B2B and B2C trade. Online negotiation is possible because of automated negotiation. In this paper, we propose linear programming and pattern matching based multilateral automated negotiation system and study some multilateral system with several methods. We have studied fuzzy inference logic based system, multithreading based automated negotiation system, linear programming based system and genetic algorithm based system and we have compared some methods of automated negotiation. Multilateral negotiation system gives better result to participant than bilateral automated negotiation. Technique of pattern matching based automated negotiation gives fast result and reduces overhead of calculation. © 2015 The Authors. Published by Elsevier B.V. Peer-review under responsibility of organizing committee of the 4th International Conference on Advances in Computing, Communication and Control (ICAC3'15).

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A model to incorporate automated negotiation in IoT

Bala

Chishti

2017

2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)

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Automated negotiation with behaviour prediction

Cited by 4 publications

References 13 publications

A Study of Integrative Bargaining Model with Argumentation-Based Negotiation

A Study of Integrative Bargaining Model with Argumentation-Based Negotiation

An Approach on Multilateral Automated Negotiation

A model to incorporate automated negotiation in IoT

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