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Multiagent Approach to Fuzzy-Linguistic Knowledge Integration

Modliński Ł., Popek G.

Computational Methods in Science and Technology

2018

Vol. 24, No. 4

317--336

The paper aims to give at least a partial answer to an urgent need for knowledge processing systems equipped with semantic capabilities. One of the crucial goals is to reflect inner computational models and numerical data outside of the system by presenting linguistic statements easily understood by a non-expert user. The paper follows a motivational scenario and presents a layered approach to knowledge integration. The fundamental rationale behind the proposed approach is that a degree of inconsistency of the whole body of knowledge should be incorporated into the formed summary and conveyed to the external user of the system. The paper deals with a practically important problem of processing modal epistemic statements about an object exhibiting some set of fuzzy properties. The statements represent distributed knowledge of some agent population and are represented on the level of a semi-natural language. In particular, the paper describes an approach to two-level fuzzy-linguistic knowledge integration based on the consensus-theory and clustering methods. In particular, it discusses the difference between the in-cluster level and the cross-cluster level. While this paper considers an environment limited to a single object with multiple properties, it is directly extendable to environments with multiple objects. The reduction is purely technical as it allows for a simplification of a notation and presented descriptions.

Co-ordination in the autonomous software agents’ systems

Madejski J.

Journal of Achievements in Materials and Manufacturing Engineering

2012

Vol. 55, nr 1

74--79

Purpose: Agents are designed to behave individually rational, which means that they should maximize their personal utility which is the way to make them less vulnerable to mean actions of others, yet they have to co-ordinate their actions to reach common goals, which is the purpose of this work. Design/methodology/approach: Agents can create and pursue their individual goals, behaving in a ‘selfish’ way to acquire the desired state of their world. To achieve that they may choose to adopt goals of other agents too, should this co-ordination be assessed as beneficial for them. Moreover, there is also a possibility to define the desired states of the agents in a way which will induce them to work together rather than try to operate individually. This may include their specialization, which forces in most cases sharing of their potential. This may be achieved by specialised design of agents being able to carry out elementary tasks. Such approach calls however, for design of a layer of supervisory agents which will be capable of realising what is the multi-agent overall system goal, setting up their teams from simple agents and committing to common sub-goals. All such systems may be efficiently developed only after careful study of the successfully operating systems in which humans are the agents, whose tasks may now be assigned to the software ones. These agents have to be coupled, as it also happens in their human counterparts. Findings: Development of the software agents’ co-operation framework based on review of publications covering both the fundamental considerations, as well as the latest developments. Research limitations/implications: Approach presented still needs careful testing and refinement of the co-ordination / negotiation rules. Originality/value: Co-ordination of agents to reach their common goal, satisfying also their individual utility.