Tham khảo tài liệu 'smart home systems part 7', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Applying agent-based theory to adaptive architectural environment - Example of smart skins 81 5. Conclusions An agent-based control system can be divided into two parts responsible for describing and setting the responses and actions of intelligent devices. The first of these consists of an independent intelligent agent module and its computing mechanism and plans and the second consists of the intelligent agent community and its interaction model. Under fuzzy logic operating conditions each intelligent agent is a clearly defined smart module and agent communities can rely on cooperation and interaction to achieve their design missions. If a user experience-oriented context awareness function is taken as an agent design goal fuzzy logic is superior to other inference mechanisms insofar as it can provide a near-human classification of feelings and sensations and inference method and can also generate continuous mechanical output effects. In other words such a system does not need to comply with the threshold value restrictions of rule-based reasoning which cause actions to be discontinuous nor do binary logic conflicts cause actions to be interrupted. Apart from possessing human or biological learning characteristics and transmitting experience derived from experts inferences neuro-fuzzy learning avoids erroneous and defective learning. Situation simulation results displayed that the use of agents possessing only inferential computing ability in the establishment of a user experience-oriented context awareness function is insufficient. Instead agents must possess learning ability and be able to rely on constant learning to achieve familiarity with and acquire users life experience. The experiment confirmed that agents can rely on fuzzy logic inferences and neuro-fuzzy learning to use examples of user experience to adjust degree of support for fuzzy rules and thereby eliminate the difference between expert rules and actual use. Furthermore in an environment .
