In this paper, we discuss a new architecture for integrating and executing business process models with rules. It is based on a workflow engine that runs a BPMN-based business process model. On the lower level, rules are used to express the specific parts of the business logic. Rules working in the same context are grouped into a single task in the process model. Such a rule task is modeled by ...

In this work we describe Pennyworth, a software system that provides both a reusable context inference engine and an infrastructure that supports context-aware features across a variety of heterogeneous applications.

The paper presents an architecture of a distributed expert system for knowledge sharing across the network, which differs from traditional autonomous agents approach by separating knowledgebase and inference into different components possibly located on different network hosts. By combining inference engine and knowledge provider components in different ways it is possible to combine knowledge ...

Article history: Received 20 February 2011 Accepted 4 April 2011 Available online xxxx

We propose an integrated architecture, extending a framework for fine grained access control of Grid computational services, with an inference engine managing reputation and trust management credentials. Also, we present the implementation of the proposed architecture, with preliminary performance figures.

Architecture of the toolkit ESWin and hybrid expert systems, supported by one, are described in this report. The knowledge representation by rules, frames and linguistic variables is used in this architecture. The possibility of keeping and extraction of data from external databases, execute of external programs are provided. This architecture supports of forward and backward fuzzy inference, r...

An increasingly popular theory holds that the mind should be viewed as a near-optimal or rational engine of probabilistic inference, in domains as diverse as word learning, pragmatics, naive physics, and predictions of the future. We argue that this view, often identified with Bayesian models of inference, is markedly less promising than widely believed, and is undermined by post hoc practices ...

CycQL is an Apache Jena/ARQ based SPARQL adapter for OpenCyc 4.0. It enables the Cyc inference engine to be used with Semantic Web tools via a SPARQL endpoint. Cyc achieves scalability and optimizes inference by restricting the search space to a relevant subset of microtheories. With this adapter, Cyc microtheories are identified with RDF named graphs. This paper demonstrates how greater effici...

This paper describes the implementation of a Non-Axiomatic Reasoning System (NARS), a unified AGI system which works under the assumption of insufficient knowledge and resources (AIKR). The system’s architecture, memory structure, inference engine, and control mechanism are described in detail.