Abstract: A resource allocation platform for allocating resources between a provider and a plurality of users at a certain price differentiated for different users, the resources being time dependent resources such as communication data capacity, the platform comprising: an agent-based interaction mechanism for allowing said provider and said plurality of users to indicate their requirements and to translate the requirements into offers and bids, and a pricing engine for ascertaining a resource allocation price for the offers and bids. The pricing engine uses a learning mechanism for learning demand behavior of individual users so that it can translate their requirements into a price which is fair to them and fair to the provider. Thus, the time-consuming, and in the case of time-dependent products, product destroying, bargaining stage of resource allocation is avoided. Optionally, a “reverse auction” format may be provided, in which a variable amount of a resource is provided for a fixed price.

Abstract: Provided are isolated nucleic acid molecules which comprise VRN1 nucleotide sequences, which encode a polypeptide which is capable of specifically altering the vernalisation response of a plant into which the nucleic acid is introduced and expressed. Examples include cDNA and gDNA sequences (see e.g., Annex I). Also provided are variant molecules which may be derivatives or homologues (e.g., alleles, or paralogues such as RTV1), plus also complementary molecules. Corresponding polypeptides form a further part of the invention. The invention also provides methods and materials for preparing and using these molecules, e.g., in the production of plants having modified vernalisation characteristics. Also provided are methods for influencing and assessing the vernalisation phenotype of a plant.

Abstract: A resource allocation platform for allocating resources between a provider and a plurality of users at a certain price differentiated for different users, the resources being time dependent resources such as communication data capacity, the platform comprising: an agent-based interaction mechanism for allowing said provider and said plurality of users to indicate their requirements and to translate the requirements into offers and bids, and a pricing engine for ascertaining a resource allocation price for the offers and bids. The pricing engine uses a learning mechanism for learning demand behavior of individual users so that it can translate their requirements into a price which is fair to them and fair to the provider. Thus, the time-consuming, and in the case of time-dependent products, product destroying, bargaining stage of resource allocation is avoided.