In a realistic environment, intentions of Belief-Desire-Intention (BDI) agents may be threatened by the impact of exogenous change. Subsequent activity failure may incur debilitative consequences which hinder both recovery and subsequent goal achievement. CAMP-BDI (Capability Aware, Maintaining Plans) embodies BDI agents with capability knowledge, allowing anticipation of threats to activity su...

In a realistic environment, intentions of belief-desire-intention (BDI) agents may be threatened by exogenous change. Subsequent activity failure may incur debilitative consequences that hinder both recovery and subsequent goal achievement. Capability aware, maintaining plans (CAMP-BDI) embodies BDI agents with capability knowledge, allowing anticipation of threats to activity success and stimu...

In the context of continuous development Internet and close cooperation international economy, Xiaohongshu, as a cross-broad e-commerce company, is exploring its best marketing strategies. This article analyses threats drawbacks Xiaohongshu through SWOT then put forward related suggestions. While constantly trying new plans, it should also improve correct shortcuts to respond risk competition i...

CONTEXT In 1993, coverage of reversible contraception by U.S. health insurance plans was extremely low. Little is known about how coverage has changed since then, particularly in response to state mandates. METHODS In 2001-2002, a nationally representative sample of 205 health care insurers responded to a survey about coverage of reproductive health care services in "typical" employment-based...

One approach for computing plans for reactive agents is is to check goal statements over state trajectories modeling predicted behaviors of an agent. This paper describes a powerful extension of this approach to handle time, safety, and liveness goals that are specified by Metric Temporal Logic formulas. Our planning method is based on an incremental planning algorithm that generates a reactive...

In this paper we present the recent developments of the approach to the design of Cognitive Robots (i.e. robots whose actions are driven by a formally developed theory of action), that are capable of performing tasks in a coordinated way. The logic of actions that we adopt is an epistemic dynamic logic, where it is possible to derive acyclic branching plans (branches corresponding to sensing ac...

Data mining is an emerging area to discover knowledge from a tremendously large database or data warehouse. Plan mining is an extension activity of data mining. Given a set of plans, the objective is to enable user to know the interesting plans. With the proliferation of database technology, planbase are increasingly common.Efficient patterns of actions discovery, valuating the planbase, and de...

MapReduce-based data processing platforms offer a promising approach for cost-effective and Web-scale processing of Semantic Web data. However, one major challenge is that this computational paradigm leads to high I/O and communication costs when processing tasks with several join operations typical in SPARQL queries. The goal of this demonstration is to show how a system RAPID+, an extension o...

BACKGROUND The use of high accuracy dose calculation algorithms, such as Monte Carlo (MC) and Collapsed Cone (CC) determine dose in inhomogeneous tissue more accurately than pencil beam (PB) algorithms. However, prescription protocols based on clinical experience with PB are often used for treatment plans calculated with CC. This may lead to treatment plans with changes in field size (FS) and c...

Query optimizers in current database systems are designed to pick a single efficient plan for a given query based on current statistical properties of the data. However, different subsets of the data can sometimes have very different statistical properties. In such scenarios it can be more efficient to process different subsets of the data for a query using different plans. We propose a new que...