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Open AccessJournal ArticleDOI

Negotiation Decision Functions for Autonomous Agents

TLDR
A formal model of negotiation between autonomous agents is presented, based on computationally tractable assumptions, demonstrated in the domain of business process management and empirically evaluated.
About
This article is published in Robotics and Autonomous Systems.The article was published on 1998-09-30 and is currently open access. It has received 1232 citations till now. The article focuses on the topics: Autonomous agent & Multi-agent system.

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Citations
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On agent-based software engineering

TL;DR: It will be argued that the development of robust and scalable software systems requires autonomous agents that can complete their objectives while situated in a dynamic and uncertain environment, that can engage in rich, high-level social interactions, and that can operate within flexible organisational structures.
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Adaptive Service Composition in Flexible Processes

TL;DR: A new modeling approach to the Web service selection problem that is particularly effective for large processes and when QoS constraints are severe is introduced.
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Argumentation-based negotiation

TL;DR: This article provides a conceptual framework through which the core elements and features required by agents engaged in argumentation-based negotiation, as well as the environment that hosts these agents are outlined, and surveys and evaluates existing proposed techniques in the literature.
Journal ArticleDOI

Using similarity criteria to make issue trade-offs in automated negotiations

TL;DR: In this article, the authors present a trade-off strategy where multiple negotiation decision variables are traded-off against one another (e.g., paying a higher price in order to obtain an earlier delivery date or waiting longer to obtain a higher quality service).
References
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Book

The Evolution of Cooperation

TL;DR: In this paper, a model based on the concept of an evolutionarily stable strategy in the context of the Prisoner's Dilemma game was developed for cooperation in organisms, and the results of a computer tournament showed how cooperation based on reciprocity can get started in an asocial world, can thrive while interacting with a wide range of other strategies, and can resist invasion once fully established.

Lecture Notes in Artificial Intelligence

P. Brezillon, +1 more
TL;DR: The topics in LNAI include automated reasoning, automated programming, algorithms, knowledge representation, agent-based systems, intelligent systems, expert systems, machine learning, natural-language processing, machine vision, robotics, search systems, knowledge discovery, data mining, and related programming languages.
Book

Theory of Value

E. Baudier, +1 more
Book

The art and science of negotiation

Howard Raiffa
TL;DR: In this article, the authors present an overview of the history of the Panama Canal Negotiations and discuss the role of time, risk sharing, and third-party intervention in these negotiations.
Posted Content

Decisions with Multiple Objectives

TL;DR: In this article, a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing trade-offs between incommensurable objectives.
Frequently Asked Questions (10)
Q1. What are the contributions mentioned in the paper "Negotiation decision functions for autonomous agents" ?

The authors present a formal model of negotiation between autonomous agents 

Since deadlines are short the number of messages exchanged to reach a deal will be small Consequently the system utility will be low and the cost adjusted utility will be highShort term deadlines are obtained by sampling a pair of values for tcmax t s max between a low range of values in this case between ticks of a discrete clock 

The utility to the system will be high when tactics have long deadlines since large numbers of o ers will be exchanged Consequently the agents will gain relatively less cost adjusted utilityThe authors de ne an environment with long term deadlines as one in which the values of tcmax and t s max are sampled within ticks of a discrete clock Note that the authors allow tcmax t s max and t c max t s max Since high values ofa overconstrain the true behaviour of tactics the authors set for both agents 

In environments where the deadline for negotiation is large tactics which quickly approach their reservation values will make more deals than tactics which have a slower rate of approach 

Because the length of the thread is independent of the time deadlines the resource dependent tactics cannot distinguish between short term and long term deadline 

This project has received the support of the DTI$EPSRC Intelligent Systems Integration Programme ISIP project ADEPT Nortel Technology and the Spanish Research project SMASH CICYT number TIC C 

The authors replaced them with three additional time dependent tactics with f g f g and f g Boulware Boulware and Boulware respectively whose behaviour becomes progressively linear with increasing values for As gure B shows this did indeed reduce the di erences between the client and the serverHowever signi cant di erences remain between the client and the server for tactics which are conciliatory i e Conceder and Thread 

The behaviour dependent tactics also gain relatively high utilities in both cases ranking approximately third and fourth for short and long term deadlines respectively 

This reduction is due to tactics that are either insensitive to changes in their environment or have a slow rate of approach to reservation values i e Thread Thread and Boulware respectively see gure 

The execution control in their experimental procedure means that the client always starts the negotiation at t followed by the server at t and so on For the client the value of cprice c price gureC and section