. . "Skupinov\u00E9 u\u010Den\u00ED s logick\u00FDmi reprezentacemi"@cs . "360347" . "RIV/68407700:21230/08:03142518!RIV09-MSM-21230___" . . "3"^^ . "Collaborative Learning with Logic-Based Models"@en . "3"^^ . . "Collaborative Learning with Logic-Based Models"@en . "Heidelberg" . "255"^^ . "Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning" . "intelligent system; logic-based learning"@en . "\u010Cl\u00E1nek navrhuje a popisuje metodu pro skupinov\u00E9 u\u010Den\u00ED v multi-agentn\u00EDch syst\u00E9mech. Metoda je zalo\u017Eena na logick\u00FDch reprezentac\u00EDch a stav\u00ED na dvou hlavn\u00EDch komponent\u00E1ch: (1) skupin\u011B u\u010Debn\u00EDch operac\u00ED vych\u00E1zej\u00EDc\u00EDch z induktivn\u00EDho logick\u00E9ho programov\u00E1n\u00ED (ILP) a (2) souboru komunika\u010Dn\u00EDch strategi\u00ED pro sd\u00EDlen\u00ED z\u00EDskan\u00E9 znalosti. Na z\u00E1klad\u011B t\u011Bchto dvou komponent je navr\u017Eeno n\u011Bkolik skupinov\u00FDch u\u010D\u00EDc\u00EDch algoritm\u016F li\u0161\u00EDc\u00EDch se kvalitou u\u010Den\u00ED, v\u00FDpo\u010Detn\u00EDmi a komunika\u010Dn\u00EDmi n\u00E1roky a pr\u00E1ci s priv\u00E1tn\u00ED znalost\u00ED jednotliv\u00FDch agent\u016F. Navr\u017Een\u00E1 metoda byla implementov\u00E1na jako softwarov\u00FD modul, jen\u017E m\u016F\u017Ee b\u00FDt integrov\u00E1n do \u0159\u00EDd\u00EDc\u00ED smy\u010Dky agenta. Metoda byla experiment\u00E1ln\u011B ov\u011B\u0159ena a vyhodnocena na simulovan\u00E9m logistick\u00E9m sc\u00E9na\u0159i, ve kter\u00E9m se t\u00FDmy obchoduj\u00EDc\u00EDch agent\u016F u\u010D\u00ED vlastnost\u00ED prost\u0159ed\u00ED a t\u00EDm optimalizuj\u00ED svou \u010Dinnost."@cs . "[6C1E0810EA5F]" . "Springer-Verlag" . "978-3-540-77947-6" . . "Z(MSM6840770038)" . "Adaptability is a fundamental property of any intelligent system. In this paper, we present how adaptability in multi-agent systems can be implemented by means of collaborative logic-based learning. The proposed method is based on two building blocks: (1) a set of operations centred around inductive logic programming for generalizing agents' observations into sets of rules, and (2) a set of communication strategies for sharing acquired knowledge among agents in order to improve the collaborative learning process. Using these modular building blocks, several learning algorithms can be constructed with different trade-offs between the quality of learning, computation and communication requirements, and the disclosure of the agent's private information. The method has been implemented as a modular software component that can be integrated into the control loop of an intelligent agent."@en . . "To\u017Ei\u010Dka, Jan" . "Skupinov\u00E9 u\u010Den\u00ED s logick\u00FDmi reprezentacemi"@cs . . . . "Collaborative Learning with Logic-Based Models" . "Adaptability is a fundamental property of any intelligent system. In this paper, we present how adaptability in multi-agent systems can be implemented by means of collaborative logic-based learning. The proposed method is based on two building blocks: (1) a set of operations centred around inductive logic programming for generalizing agents' observations into sets of rules, and (2) a set of communication strategies for sharing acquired knowledge among agents in order to improve the collaborative learning process. Using these modular building blocks, several learning algorithms can be constructed with different trade-offs between the quality of learning, computation and communication requirements, and the disclosure of the agent's private information. The method has been implemented as a modular software component that can be integrated into the control loop of an intelligent agent." . . . . "15"^^ . "Jakob, Michal" . "RIV/68407700:21230/08:03142518" . . "21230" . . . "P\u011Bchou\u010Dek, Michal" . "Collaborative Learning with Logic-Based Models" . .