Abstract. Many organisms search for limiting resources by using repeated responses to local cues, which cumulatively cause movement towards more favorable parts of their environment. This paper presents a general asymptotic expression, derived under the assumption of shallow environmental gradients

microelectronics-based, information/communication technologies, and genetic Materials for an exploratory theory of the network society 9 engineering. In this sense what is characteristic of the network society is not the critical role of knowledge and information, because knowledge and information were central

knowledge of what data they have? For example, two intelligence agencies might be willing to cooperate by sharing documents about a specific case, and need a way of determining which documents might be of interest to each other. We introduce and address the problem of allowing such entities to search each

queries to improve search results and will present retrieved passages in decreasing order of relevance. It differs from other intelligent database functions in two ways: it works with semantically unprocessed text and the expert systems contains a knowledge base of search strategies independent of any

Summary: This paper presents the model of Intelligence Information System (IIS) based on a Service-Oriented Architecture. In this paper we propose the new service’s model, based on the Intelligence cycle and other systems which are necessary for gathering intelligence information and data

to improve search results and presents retrieved passages in decreasing order of estimated relevance. It differs from other intelligent database functions in two ways: it works with semantically unprocessed text and the expert systems contains a knowledge base of search strategies independent of any

of its strength, it also makes the task of finding the right information more difficult. Most of the current solutions such as information gateways and search engines are "single user mode" and "domain independent" which limit their effectiveness. This paper describes a knowledge-based

queries to improve search results and will present re ~r ieved passages in decreasing order of relevance. It differs from other intelligent database functions in two ways: it works with semanticall y unprocessed tex't and the expert systems contains a knowledge base of search strategies independent

from recent developments in SOC. In difference to many standard SOC algorithms, our approach can directly infer the system dynamics from data points, and, hence, can also be used for model-based reinforcement learning. This paper represents an extension of [13]. In addition to revisiting the content we

Digital libraries (DLs) are a resource for answering complex questions. Up to now, such systems mainly support keyword-based searching and browsing. The mapping from a research question to keywords and the assessment whether an article is relevant for a research question is completely with the user