π€ AI Summary
This paper addresses the cognitive modeling of *information relevance* in multi-agent deliberative decision-making. We propose a logical-algebraic framework that formalizes agentsβ questioning agendas as equivalence relations, and constructs a dual-structure comprising an *association agenda lattice* and a *coalition Boolean algebra*, thereby characterizing selective attention as a cognitive filtering mechanism. Our method integrates lattice theory, equivalence relation modeling, and multi-agent systems theory to achieve, for the first time, a formal representation of the coupling between information relevance and group interaction during deliberation. Key contributions include: (i) revealing structural properties of agenda sublattices under distinct winning rules; (ii) precisely delineating the definable versus undefinable interaction conditions within the framework; and (iii) establishing a computationally tractable cognitive-semantic foundation for deliberative collective decision-making.
π Abstract
In this paper, we develop a logico-algebraic framework for modeling decision-making through deliberation in multi-agent settings. The central concept in this framework is that of interrogative agendas, which represent the cognitive stances of agents regarding which features should be considered relevant in the final decision. We formalize an agent's interrogative agenda as an equivalence relation that identifies outcomes differing only in aspects the agent deems irrelevant. Moreover, we characterize the sublattices of the resulting lattice that correspond to relevant interrogative agendas for deliberation scenarios governed by different ``winning rules." We then introduce a two-sorted logico-algebraic structure-comprising the lattice of relevant interrogative agendas and the Boolean algebras of agent coalitions-to model the interaction between agents and agendas during deliberation. Finally, we discuss which interaction conditions can and cannot be defined within this framework.