DICE facilitates coordination and communication in engineering design by utilizing an object-oriented Blackboard architecture, where the various participants involved in the engineering process communicate through a global database – called Blackboard.
The blackboard architecture is a flexible and powerful expert system framework. It represents a general approach to problem solving that is useful in many domains of applications especially in the area of intelligent control. The blackboard architecture can provide an environment for achieving intelligent control behaviors in many AI systems.
Nov 17, 2010 · 4. 1.1 Basic idea • The idea of blackboard architecture is similar to the classroom blackboard setting used in solving problems. • It is a data-directed and a partially data-driven architecture. • The whole system is decomposed into two major partitions: – blackboard, used to store data (hypotheses and facts) – knowledge sources ...
A blackboard system architecture is illustrated in Figure 1, adapted from ( Vlachavas et al., 2005). In any of the aforementioned interconnection models, there can be two types of communication ...
In software engineering, the blackboard pattern is a behavioral design pattern that provides a computational framework for the design and implementation of systems that integrate large and diverse specialized modules, and implement complex, non-deterministic control strategies.
Advantages of Blackboard Architecture Style Blackboard architecture style provides concurrency which allows knowledge sources to work in parallel. This architecture supports experimentation for hypotheses and reusability of knowledge source components.
A blackboard system consists of three components: 1) Knowledge sources (KSs); 2) Blackboard; 3) Control component. Knowledge sources are independent modules that contain the knowledge needed for problem solving.
DisadvantagesIt is more vulnerable to failure and data replication or duplication is possible.High dependency between data structure of data store and its agents.Changes in data structure highly affect the clients.Evolution of data is difficult and expensive.Cost of moving data on network for distributed data.
Architectures must have both form and function and it is a good test of an architecture to measure its elegance. An architecture that is well designed will tend to be elegant and have a simplicity of form that will be obvious to those that take the time study it.
A software architect makes important decisions regarding the software that goes on to define its overall integrity. A good software architecture helps define attributes such as performance, quality, scalability, maintainability, manageability, and usability.Jul 12, 2021
The Pipe and Filter is an architectural pattern for stream processing. It consists of one or more components called filters. These filters will transform or filter data and then pass it on via connectors called pipes.
A blackboard system consists of three components ( Figure 1 ) : Blackboard ( BB ), • Knowledge sources ( KSs), and • Control unit.
Discussion ForumQue.The architects are influenced by which of the following factors?b.Developing organizationc.Background and experience of the architectsd.All of the mentionedAnswer:All of the mentioned1 more row
Data architecture is a framework for how IT infrastructure supports your data strategy. The goal of any data architecture is to show the company's infrastructure how data is acquired, transported, stored, queried, and secured. A data architecture is the foundation of any data strategy.Mar 4, 2021
The data center architecture specifies where and how the server, storage networking, racks and other data center resources will be physically placed. It also addresses how these resources/devices will be interconnected and how physical and logical security workflows are arranged.
A repository architecture consists of a central data structure (often a database) and a collection of independent components which operate on the central data structure Examples of repository architectures include blackboard architectures, where a blackboard serves as communication centre for a collection of knowledge ...
Pairs is an application consisting of a report, represented as an HTML document; blackboard architecture that provides a shared working memory for the sequence of tasks; and a control shell that coordinates tasks to be done by a variety of smart tools.
The Expert System architecture consists of a knowledge base and an inference engine ( Fig. 4 ). Its knowledge is generally represented in terms of rules. Rules represent domain knowledge in an ‘if-then-else’ format and they can be written in different programming languages like C, LISP, and OWL. For example, in the CLIPS expert system used by Siemens, rules are written in OWL 2 language in the format of concept-ontology and instance-ontology [ 56 ]. In some cases, frames are also used to represent the knowledge in expert systems. Frames are used to represent the stereotyped knowledge as a collection of attributes and their associated values. An example is the meteorological vehicle system, wherein the expert system for fault diagnosis is built using object-frame structure, with the frame being a collection of state-object, test-object, rule-object, and repair-object [ 57 ]. Most Expert systems employ Rule-Based Reasoning (RBR) methodology to solve their problem. The RBR is executed in the following two ways: i) Forward Chaining, and ii) Backward Chaining. Forward Chaining starts with the initial state of facts and applies the rules until the endpoint is reached. Backward Chaining starts from a hypothesis and looks for rules that will allow the hypothesis to be proven. In other words, it starts with an effect and looks for the possible root causes that could lead to that effect. Forward Chaining is data driven whereas Backward Chaining is goal driven [ 58 ].
Generally, the knowledge base of a rule-based expert system consists of a set of rules of the following form: if condition1 and … and conditionm are true then conclusion1 and … and conclusionn. Each rule contains one or more conditions and one or more conclusions or actions. MYCIN is a classical rule-based system.
The knowledge-based systems carry out reasoning based on the existing knowledge base . This knowledge can be anything like procedural or declarative, structured or unstructured and are represented in such a way that the reasoner understands. In general, the knowledge can be represented in the form of a concept, its intent, and the context. The Concept is the basic unit of knowledge, providing the abstraction of real-world things. Concepts have an association with other concepts which give context of the knowledge. Concepts and its associations can be represented using any of the technologies like Rules, Procedures, Frames, Nets, Models, Ontologies, and Scripts, based on the intent of knowledge, which is the ability or the skill required to achieve the goal [ 55 ]. Some of the knowledge-based systems are discussed here and Table 2 presents the comparison of advantages and disadvantages of these systems.
A single server environment virtualization is useful in a reduced resource environment where advantage may be taken to provide multiple instances of Learn on a single host.
One approach which provides the flexibility of installation management provided by virtualization and the necessary resources to sustain a Learn installation is to use a combination of virtualization and dedicated hardware.
On Windows operating systems, Blackboard Learn requires the use of NTFS as the file system. Follow the steps below to confirm that the disk is using the NTFS file system.
A load-balanced configuration requires that the first application server, shared content directory, and database server be installed using the two server configuration model.
Blackboard Learn 9.1 has been set up, configured, and tested against a single database instance.
The alias for the bbconfig.database.type.oracle.tns parameter must match the one defined in the tnsnames.ora.bb file.
Be sure you have completely installed and set up your Oracle RAC environment according to Oracle's documentation before installing Blackboard Learn.
Be sure the database server properties are set properly to point to one of the Oracle RAC nodes. To learn more, see Changing Blackboard Learn From Oracle RAC Mode to Single Instance Mode.
The Blackboard Learn 9.1 installer, by default, ensures the correct properties are set for the OS bit, JVM bit, Oracle client library, and the bbconfig file. The installer dynamically checks the OS and JVM for the Oracle RAC environment and selects the correct file properties for bbconfig and the Oracle client library files as follows:
ORA-00600: internal error code, arguments: [kkocxj : pjpCtx] while complex sqls.