ANEMONA: A Mulit-agent Methodology for Holonic Manufacturing by Vicente Botti, Adriana Giret (auth.)

By Vicente Botti, Adriana Giret (auth.)

ANEMONA is a multi-agent approach (MAS) method for holonic production procedure (HMS) research and layout, according to HMS requisites. ANEMONA defines a combined top-down and bottom-up improvement technique, and gives HMS-specific guidance to aid the fashion designer in choosing and imposing holons. In ANEMONA, the desired HMS is split into concrete points that shape diverse "views" of the system.

The improvement technique of ANEMONA presents transparent and HMS-specific modeling instructions for HMS designers, and whole improvement stages for the HMS lifestyles cycle. The research part is outlined in phases: approach requisites research, and Holon identity and Specification. This research offers high-level HMS necessities from the necessities, adopting a top-down recursive technique. a bonus of this recursive research is that its effects, i.e. the research types, supply a collection of common components and assembling principles. the subsequent degree is Holon layout, a bottom-up strategy to provide the method structure from the research types of the former level. The Holons Implementation degree produces an Executable Code for the SetUp and Configuration level. ultimately, maintenances services are finished within the Operation and upkeep stage.

ANEMONA: A Multi-agent technique for Holonic production Systems might be of curiosity to researchers and postgraduate scholars excited by synthetic intelligence and software program engineering, in addition to to production engineers in and academia.

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Additional resources for ANEMONA: A Mulit-agent Methodology for Holonic Manufacturing Systems

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With respect to these goals, a holon never deliberately rejects cooperation with another holon. Only when the requested actions are impossible or strongly disadvantageous to the manufacturing process, does it refuse their execution [11]. Coordination, negotiation, bargaining, and other cooperation techniques allow holons to flexibly interact with other holons in an abstract way. Regarding cooperation, a great number of specific approaches exist in MAS: see [67] and [68] for an overview. A sample cooperation scenario was presented in the social ability subsection.

There are two levels in an abstract agent. The abstraction level and the recursion level. The abstraction level is used in the analysis and design phases. , an }. , an } are said to be on a lower abstraction level than A. , an } are in m− 1 abstraction level. Subsequent analysis will ”open” these agents, for example when analyzing a1 , we could have that a1 = {a11, a12 , a13 }. Then the abstraction level of each agent in {a11 , a12 , a13 } will be m − 1, and so on. 3. Let a be an agent and A and Ai be abstract agents.

1 Agents An agent is an autonomous and flexible computational system that is able to act in an environment [5]. Flexible means that the agent is: • Reactive: it reacts to the environment it is in. • Proactive: it is able to try to fulfill it’s own plan or goals. • Social: it is able to communicate with other agents by means of a language. Some properties that are usually attributed to agents to a greater or lesser degree, for solving particular problems are [61, 62]: • Autonomy: agents can operate without the direct intervention of humans or other agents.

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