This short paper introduces a new way by which to design production system rules. An indirect encoding scheme is presented which views such rules as protein complexes produced by the temporal behaviour of an artificial genetic regulatory network. This initial study begins by using a simple Boolean regulatory network to produce traditional ternary-encoded rules before moving to a fuzzy variant t...

In this paper, we present a method for improving the performance of classical symbolic rules. This is achieved by introducing a type of hybrid rules, called neurules, which integrate neurocomputing into the symbolic framework of production rules. Neurules are produced by converting existing symbolic rules. Each neurule is considered as an adaline unit, where weights are considered as significan...

Neurules are a kind of hybrid rules integrating neurocomputing and production rules. Each neurule is represented as an adaline unit. Thus, the corresponding rule base consists of a number of autonomous adaline units (neurules). Due to this fact, a modular and natural rule base is constructed, in contrast to existing connectionist rule bases. In this paper, we present a method for generating neu...

User requirements and low-cost small quantity production are new challenges for the modern manufacturing industry. This means that small batch sizes or even the manufacturing of one single product should be affordable. To make such a system cost-effective it should be capable to use the available production resources for many different products in parallel. This paper gives a description of the...

An Evolvable Production System (EPS) is a complex and lively entity composed of intelligent modules that interact, through bio-inspired mechanisms, to ensure high system availability and seamless reconfiguration. The diagnosis of such dynamic systems, characterized by constant change, presents new diagnostic challenges and opportunities that can hardly be tackled by traditional approaches. On t...

We previously reported that milk production by dairy cows was increased by adding specific xylanase-rich (XYL) and xylanase-cellulase enzymes to corn silage-based diets containing 0 or 10% bermudagrass silage. This study examined effects of adding XYL on the intake and performance of lactating dairy cows consuming a totally mixed ration (TMR) formulated with a greater proportion of bermudagrass...

Agent-based simulation has demonstrated its usefulness for the modelling of complex systems. However, the simulation widely depends on the agent behaviour designing. In order to facilitate the definition of such behaviour, we propose an approach based on a participatory method: a domain expert directly enters his knowledge about entities in a specific environment. In this paper, we propose to f...

This paper describes an agent-based minimal economic model currently under development by UCF Complex Adaptive Systems Lab. Standard results using this model are observed and discussed. The model is modified to compare standard results against a tax and spend scheme. We find that taxation and wealth redistribution has significant effect on carrying capacity of the simulation and distribution of...

In vitro propagation of plant has played a very important role in rapidmultiplication of cultivars with desirable traits and production of healthy and disease-free plants. In the present investigation, the objectives were to optimize the micropropagation of Rose hybrid ‘Black Baccarat’ cultivar. In proliferation step, the nodal segments (1.5 cm) was cultured on both liquid and solid media (MS, ...

A streptogramin type B antibiotic, virginiamycin S (VS), is produced by Streptomyces virginiae, together with a streptogramin type A antibiotic, virginiamycin M1 (VM), as its synergistic counterpart. VS is a cyclic hexadepsipeptide containing a nonproteinogenic amino acid, Lphenylglycine (L-pheGly), in its core structure. We have identified, in the left-hand extremity of the virginiamycin super...