Agents that reason and negotiate by arguing

Parsons, Simon

doi:10.1093/logcom/8.3.261

Cited by 480 publications

(363 citation statements)

References 29 publications

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“…A one-to-one iterated bargaining process [28] consists of two participants playing the role of buyer and seller exchanging proposals between them. The proposals consist of a tentative agreement, with all parameters of the agreement specified.…”

Section: Negotiationmentioning

confidence: 99%

Semantic Web support for the business-to-business e-commerce pre-contractual lifecycle

2003

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semantic web, e-commerce, matchmaking, automated negotiation, DAML+OIL, service descriptionIf an e-services approach to electronic commerce is to become widespread, standardisation of ontologies, message content and message protocols will be necessary. In this paper, we present a lifecycle of a business-to-business e -commerce interaction, and show how the Semantic Web can support a service description language that can be used throughout this lifecycle. By using DAML+OIL, we develop a service description language sufficiently expressive and flexible to be used not only in advertisements, but also in matchmaking queries, negotiation proposals and agreements. We also identify which operations must be carried out on this description language if the B2B lifecycle is to be fully supported. We do not propose specific standard protocols, but instead argue that our operators are able to support a wide variety of interaction protocols, and so will be fundamental irrespective of which protocols are finally adopted. ABSTRACTIf an e-services approach to electronic commerce is to become widespread, standardisation of ontologies, message content and message protocols will be necessary. In this paper, we present a lifecycle of a business-to-business e-commerce interaction, and show how the Semantic Web can support a service description language that can be used throughout this lifecycle. By using DAML+OIL, we develop a service description language sufficiently expressive and flexible to be used not only in advertisements, but also in matchmaking queries, negotiation proposals and agreements. We also identify which operations must be carried out on this description language if the B2B lifecycle is to be fully supported. We do not propose specific standard protocols, but instead argue that our operators are able to support a wide variety of interaction protocols, and so will be fundamental irrespective of which protocols are finally adopted.

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Section: Negotiationmentioning

confidence: 99%

Semantic Web support for the business-to-business e-commerce pre-contractual lifecycle

2003

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“…This can be seen in the following simple example. [18]). Two home builder agents, A and B, need to hang a mirror (A's job) and a picture (B's job).…”

Section: Introductionmentioning

confidence: 99%

Logic Programming for Multiagent Planning with Negotiation

2009

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Abstract. Multiagent planning deals with the problem of generating plans for multiple agents. It requires formalizing ways for the agents to interact and cooperate, in order to achieve their goals. One way for the agents to interact is through negotiations. Integration of negotiation in multiagent planning has not been extensively investigated and a systematic way for this task has yet to be found. We develop a generic model for negotiation in dynamic environments and apply it to generate joint-plans with negotiation for multiple agents. We identify the minimal requirements for such a model and propose a general scheme for one-to-one negotiations. This model of negotiation is instantiated to deal with dynamic knowledge of planning agents. We demonstrate how logic programming can be employed as a uniform platform to support both planning and negotiation, providing an ideal testbed for experimenting with multiagent planning with negotiations.

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“…[22] and Parsons et.al. [19] to specify several agent architectures and particularly to model some classes of BDI agents [17]. Indeed one advantage of the MCS logical approach to agency modelling is that it allows for rather affordable computational implementation.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed one advantage of the MCS logical approach to agency modelling is that it allows for rather affordable computational implementation. For instance, a portion of the framework described in [17] is being now implemented using a prolog multithreaded architecture [8].…”

Section: Introductionmentioning

confidence: 99%

“…There are a few works that partially address this issue and emphasize the importance of graded models. Notably, Parsons and Giorgini [17] consider the belief quantification by using Evidence Theory. In their proposal, an agent is allowed to express its opinion on the reliability of the agents it interacts with, and to revise its beliefs when they become inconsistent.…”

Section: Introductionmentioning

confidence: 99%

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Graded BDI Models for Agent Architectures

Casali

Godo

Sierra

2005

Lecture Notes in Computer Science

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Abstract. In the recent past, an increasing number of multiagent systems (MAS) have been designed and implemented to engineer complex distributed systems. Several previous works have proposed theories and architectures to give these systems a formal support. Among them, one of the most widely used is the BDI agent architecture presented by Rao and Georgeff. We consider that in order to apply agents in real domains, it is important for the formal models to incorporate a model to represent and reason under uncertainty. With that aim we introduce in this paper a general model for graded BDI agents, and an architecture, based on multi-context systems, able to model these graded mental attitudes. This architecture serves as a blueprint to design different kinds of particular agents. We illustrate the design process by formalising a simple travel assistant agent.

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Agents that reason and negotiate by arguing

Cited by 480 publications

References 29 publications

Semantic Web support for the business-to-business e-commerce pre-contractual lifecycle

Semantic Web support for the business-to-business e-commerce pre-contractual lifecycle

Logic Programming for Multiagent Planning with Negotiation

Graded BDI Models for Agent Architectures

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