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MULTI-AGENT BLACKBOARD ARCHITECTURE FOR SUPPORTING LEGAL DECISION MAKING
2018
Computer Science
Our research objective is to design a system to support legal decision making using the multi-agent blackboard architecture. Agents represent experts that may apply various knowledge-processing algorithms and knowledge sources. Experts cooperate with each other using the blackboard to store facts about a current case. Knowledge is represented as a set of rules. The inference process is based on bottom-up control (forward chaining). The goal of our system is to find rationales for arguments that
doi:10.7494/csci.2018.19.4.3007
fatcat:pxtkyb2sv5hb5meqjr43y246gm