“…After all, more complex reasoning tasks, such as those that involve managing uncertainty and resolving conflicts, often benefit from input and insights elicited from multiple agents engaged in the dialogical exchange of locutions. Hence, non-monotonic logics • Knowledge representation, reasoning, and engineering, including: development of both structured and abstract argumentation frameworks and argumentative (dialectical) formalisations of non-monotonic logics that comply with rational principles regarding the handling of uncertainty and resolution of conflict (e.g., [22-24, 35, 36, 39, 60, 65, 67, 68, 73, 99]); proof theories and algorithms for reasoning with and about arguments (e.g., [66,[78][79][80]; specification of argument schemes specialised to particular domains (e.g., [86,92]); argument mining approaches for identifying arguments and relations between arguments from text (e.g., [16,18]). • Dialogical argumentation, including: systems for distributed inquiry over beliefs and for distributed deliberation over actions (e.g., [4,6]); how an agent can act strategically so as to influence the outcome of dialogical argumentation, taking into account what it believes to be true about its interlocutor's private mental state (e.g., [5,41,46,69]).…”