Learning Mechanism for Distributed Default Logic Based MAS – Implementation Considerations
نویسندگان
چکیده
The paper presents learning mechanisms for MAS based on Distributed Default Logic (DDL), the formalism for multi-agent knowledge representation and reasoning. In the distributed environment learning processes provide measures to order default rules, which gives the agent better use of its local and external knowledge. Such mechanisms allow the system to work effectively in a changing environment, where basic facts and sources of information are uncertain.
منابع مشابه
On learning intentionally
Any attempt to include learning competences in agent technologies, involves the problem of integrating such competences in the rationality of the agents. This work discusses the design of learning intentional agents in a multiagent system (MAS). Learning intentionally means that these agents learn to adopt their intentions under practical reasoning considerations, specified in terms of Beliefs,...
متن کاملA Novel Approach to Default Reasoning for MAS
In a multi-agent system the sought information can often be found across various knowledge bases, which means that making early assumptions can lead to hasty conclusions. In the paper we present a formalism for distributed default reasoning to be performed by a group of agents that share knowledge in the form of a distributed default theory. The formalism is based on default transformations, wh...
متن کاملAn Implementation of Statistical Default Logic
Statistical default logic is a variation of classical (i.e., Reiter’s) default logic designed to represent basic inference forms common in inferential statistics. In this paper we present an embedding of an important subset of statistical default theories into stable model semantics.
متن کاملA semantic-aware role-based access control model for pervasive computing environments
Access control in open and dynamic Pervasive Computing Environments (PCEs) is a very complex mechanism and encompasses various new requirements. In fact, in such environments, context information should be used in access control decision process; however, it is not applicable to gather all context information completely and accurately all the time. Thus, a suitable access control model for PCEs...
متن کاملExtending Constructive Negation for Partial Functions in Lazy Functional-logic Languages
In this paper the mechanism of Default Rules for narrowing-based languages proposed in 24] is adapted to lazy narrowing. Every partial deenition of a function can be completed with a default rule. In a concrete function call, the default rule is applicable when the normal ones determine that they cannot compute the value of the call. Furthermore , when the goal has variables the evaluation mech...
متن کامل