By Vicente Botti, Adriana Giret (auth.)
ANEMONA is a multi-agent procedure (MAS) technique for holonic production process (HMS) research and layout, in line with HMS specifications. ANEMONA defines a combined top-down and bottom-up improvement approach, and offers HMS-specific directions to assist the dressmaker in making a choice on and imposing holons. In ANEMONA, the desired HMS is split into concrete facets that shape various "views" of the system.
The improvement means of ANEMONA presents transparent and HMS-specific modeling directions for HMS designers, and whole improvement levels for the HMS existence cycle. The research section is outlined in levels: process requisites research, and Holon identity and Specification. This research presents high-level HMS requisites from the necessities, adopting a top-down recursive procedure. a bonus of this recursive research is that its effects, i.e. the research types, supply a suite of straightforward parts and assembling principles. the subsequent level is Holon layout, a bottom-up method to supply the process structure from the research types of the former level. The Holons Implementation degree produces an Executable Code for the SetUp and Configuration degree. ultimately, maintenances services are performed within the Operation and upkeep stage.
ANEMONA: A Multi-agent technique for Holonic production Systems might be of curiosity to researchers and postgraduate scholars eager about synthetic intelligence and software program engineering, in addition to to production engineers in and academia.
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Extra resources for ANEMONA: A Mulit-agent Methodology for Holonic Manufacturing Systems
Nevertheless, it is the only study that considers the global manufacturing system integrated in the company. 3 Multi-agent System Methods In this section we present a summary of the better-known MAS methodologies in the agent field. We classify them into two big clusters: general-purpose MAS methods1 and MAS methods for manufacturing systems. 1 General-purpose MAS Methods In this section we summarize some of the better-known MAS methodologies. 1 In this cluster of general-purpose methodologies we can find different clusters, for example, role-based methods, agent-based methods, organization-based methods, system-based methods, interaction-based methods, behavior-based methods, extensions of knowledge-based methodologies, etc.
2. A multi-agent system is made up of two or more abstract agents that interact to solve problems that are beyond the individual capabilities and individual knowledge of each abstract agent. 2 extends the traditional notion of multi-agent systems when indicating that a MAS is made up of abstract agents. This could be a very useful property because with this we could have a MAS made up of interacting MASs. 2 illustrates the essential abstract agent structure. 4 Abstract Agent 33 Fig. * There are two levels in an abstract agent.
In this sense, manufacturing holons are semi-autonomous. This characteristic is defined implicitly in the way that 41 42 4 HMS Development holons are organized to cooperate. A holarchy is a “loosely coupled” and temporal hierarchical structure in which there is a certain level of subordination to the holon that manages it (for example, the staff holon of the PROSA architecture, or the coordinator holon of the cooperation domains, see Sect. 3). At the same time each holon is an autonomous entity that acts in cooperation interactions.