Group items tagged

3. JSON Class hinting ¶ There are only simple data types defined in JSON. To overcome this problem in a JSON compatible way a special property for objects is introduced. {"__jsonclass__":["constructor", [param1,...]], "prop1": ...} The object is then instantiated using the constructor, passing in the parameters. Once constructed the properties (prop1, ...) will be applied.

To give the serverside peer a chance to send messages to the client side peer, the client side peer may reopen communication by sending an empty HTTP POST.

--> {"method": "postMessage", "params": ["Hello all!"], "id": 99} <-- {"result": 1, "error": null, "id": 99} <-- {"method": "handleMessage", "params": ["user1", "we were just talking"], "id": null} <-- {"method": "handleMessage", "params": ["user3", "sorry, gotta go now, ttyl"], "id": null} --> {"method": "postMessage", "params": ["I have a question:"], "id": 101} <-- {"method": "userLeft", "params": ["user3"], "id": null} <-- {"result": 1, "error": null, "id": 101}

A production system (or production rule system) is a computer program typically used to provide some form of artificial intelligence, which consists primarily of a set of rules about behavior. These rules, termed productions, are a basic representation found useful in AI planning, expert systems and action selection. A production system provides the mechanism necessary to execute productions in order to achieve some goal for the system. Productions consist of two parts: a sensory precondition (or "IF" statement) and an action (or "THEN"). If a production's precondition matches the current state of the world, then the production is said to be triggered. If a production's action is executed, it is said to have fired. A production system also contains a database, sometimes called working memory, which maintains data about current state or knowledge, and a rule interpreter. The rule interpreter must provide a mechanism for prioritizing productions when more than one is triggered.

A production system (or production rule system) is a computer program typically used to provide some form of artificial intelligence, which consists primarily of a set of rules about behavior. These rules, termed productions, are a basic representation found useful in AI planning, expert systems and action selection. A production system provides the mechanism necessary to execute productions in order to achieve some goal for the system. Productions consist of two parts: a sensory precondition (or "IF" statement) and an action (or "THEN"). If a production's precondition matches the current state of the world, then the production is said to be triggered. If a production's action is executed, it is said to have fired. A production system also contains a database, sometimes called working memory, which maintains data about current state or knowledge, and a rule interpreter. The rule interpreter must provide a mechanism for prioritizing productions when more than one is triggered.

In telecommunications and software engineering, scalability is a desirable property of a system, a network, or a process, which indicates its ability to either handle growing amounts of work in a graceful manner, or to be readily enlarged.[1] For example, it can refer to the capability of a system to increase total throughput under an increased load when resources (typically hardware) are added. An analogous meaning is implied when the word is used in a commercial context, where scalability of a company implies that the underlying business model offers the potential for economic growth within the company.