Subproject 2: “Logical‐Computational methods and technologies” (Coordinator: Roberta Calegari)
Subproject 2 focuses on methods and technologies for the legal governance of computations. The focus will be on computable laws, and on the architectures for law compliant ALAs. Besides the express formal representation of computable law, to be processed according to logical inference and argumentation, we shall also consider how compliance can be learned through case-based reasoning and machine learning. Finally, we will address regulations and guidelines directed to designers of computable laws and ALAs, to support the correct specification of computable laws and their effective implementation.
We will provide computable models of rules, principles, and cases. We will provide formal specifications covering: normative concepts (obligation, permission, powers, Hohfeldian positions); basic socio-cognitive notions (action, goal, intention, belief, influence); basic social relations (dependency, delegation and responsibility); rules (defeasibility, conditionality, constitution); values and goals (means-end reasoning, scalable goals, proportionality); defeasible argumentation (argument schemes and well as relations of support, attack and defeat between arguments); dialectical interactions (strategic games, argumentation protocols); institutional structures (meta-rules and roles for adjudicating and enforcing norms); norm-related cognitive processes (norm-awareness, motivation to comply and violate). The architecture of ALAs will mainly be based on the BDI (Belief-Desire-Intention) models, expanded with norms, legitimacy and trust. Issues connected to the legal/ethical assessment of the machine learning methods and outcomes will be addressed.