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Kuwabara, Kazuhiro, & Ishida, Toru. 1992. Symbiotic Approach to Distributed Resource Allocation: Toward Coordinated Balancing. In: pre-proceedings MAAMAW92: 4th European Workshop on Modelling Autonomous Agents in a MultiAgent World, Italy.

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Formalising Trust as a Computational Concept - Marsh (1994)   (79 citations)  (Correct)

.... mostly from potentially cooperative situations, since, as was discussed in chapter 1, much of the work in DAI is concerned with circumstances involving cooperation amongst agents (see also Marsh (1992, 1993) Rosenschein (1985) Urzelai and Garijo (1992) and for a different approach to this idea Kuwabara and Ishida (1992)) The chapter focuses on furniture moving as an example, and is developed from Marsh (1992) which in turn used the example given in Connah and Wavish (1990) The reasons for the use of furniture moving as an example are given in section 5.2.1. 5.1.1 Formulae Used The formulae presented in the ....

Kuwabara, Kazuhiro, & Ishida, Toru. 1992. Symbiotic Approach to Distributed Resource Allocation: Toward Coordinated Balancing. In: pre-proceedings MAAMAW92: 4th European Workshop on Modelling Autonomous Agents in a MultiAgent World, Italy.


A Microeconomic Approach to Intelligent Resource Sharing in.. - Lee, Durfee (1995)   (2 citations)  (Correct)

....behavior in a self organizing and distributed fashion, involving the use of a microeconomic pricing system based on economic laws of supply and demand and trading among agents. The agents, therefore, allocate resources based on an artificial economy or market (Wellman 1993; Bogan 1994; Kuwabara and Ishida 1992). In work following a similar microeconomic model, Wellman (1993) states that market oriented programming refers to the general approach of deriving solutions to distributed resource allocation problems by computing the competitive equilibrium of an artificial economy. This approach is ....

Kuwabara, K. and T. Ishida (1992, July). Symbiotic approach to distributed resource allocation: Toward coordinated balancing. In A. Cesta, R. Conte, and M. Miceli (Eds.), Pre-Proceedings of the Fourth European Workshop on Modeling Autonomous Agents in a Multi-Agent World, Rome, Italy.


An Implementation of the Contract Net Protocol Based on Marginal .. - Sandholm (1993)   (112 citations)  (Correct)

....similar items an agent wants to buy and it is assumed that the purchase of one type of items is independent of the purchase of other types of items. In our system, each item (task set) is different and task sets of different announcements are highly interdependent. In the equilibrium approach of (Kuwabara and Ishida 1992), at each iteration, the seller sets the price based on demand and the buyers state the quantity they want to buy. Section 2 presents the architecture of our implementation. Section 3 discusses the local control strategy of an agent. In sections 4 to 7, the negotiation phases of announcing, ....

Kuwabara, K., and Ishida, T. 1992. Symbiotic Approach to Distributed Resource Allocation: Toward Coordinated Balancing. In Proceedings of the European Workshop on Modeling Autonomous Agents and Multi-Agent Worlds '92.


A Market-Oriented Programming Environment and its Application to.. - Wellman (1993)   (154 citations)  (Correct)

....operating system. Researchers in distributed computing (Kurose Simha, 1989) have also applied specialized algorithms based on economic analyses to specific resource allocation problems arising in distributed systems. For further remarks on this line of work, see (Wellman, 1991) Recently, Kuwabara and Ishida (1992) have experimented with demand adjustment methods for a task very similar to the multicommodity flow problem considered here. One significant difference is that their method would consider each path in the network as a separate resource, whereas the market structures here manipulate only links or ....

Kuwabara, K., & Ishida, T. (1992). Symbiotic approach to distributed resource allocation: Toward coordinated balancing. In Pre-Proceedings of the 4th European Workshop on Modeling Autonomous Agents in a Multi-Agent World.

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