Debate Dynamics: How Controversy Improves Our Beliefs by Gregor Betz

By Gregor Betz

Is severe argumentation a good way to beat confrontation? And does the trade of arguments carry competitors in an issue towards the reality? This research presents a brand new viewpoint on those pivotal questions. through multi-agent simulations, it investigates the reality and consensus-conduciveness of debatable debates. The e-book brings jointly study in formal epistemology and argumentation thought. other than its outcomes for discursive perform, the paintings can have vital implications for philosophy of technology and how we construe medical rationality as well.

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In other words, according to epistemic logic, agents are logically omniscient and hold deductively closed knowledge claims (see also Fagin et al. 1995, pp. 333–337; Hendricks 2006, p. 98). The AGM model, named after its original authors Carlos Alchourr´on, Peter G¨ardenfors, and David Makinson, represents an agent’s beliefs as a set of sentences in some formal language. Belief revision theories in the tradition of the AGM model study the principles of how an agent’s overall belief set ought to change given (1) the acquisition of some new belief (expansion), the dismissal of some previously held belief (contraction), or the replacement of previously held beliefs 26 1 General Introduction by new ones (revision).

One may, for example, assume that agents are logically omniscient, being aware not only of all inferential relations within a given set of sentences but even of all logical implications some sentence carries. This amounts to maximal logical competence and represents an extreme assumption in the spectrum we are considering. ” Agents are (modeled as) logically ignorant if they don’t take account of any inferential relations between their convictions when revising their beliefs. This is in particular the case if a model of belief change doesn’t represent inferential relations between sentences in the first place.

Furthermore, we may reconstruct the modified inductive inference, which makes use of the novel evidence, as follows: (P1) (P2) (P3) (P4) (C) Tara is an Indian living in Punjab. Most Indians living in Punjab are Muslims. If (1) most F are G, (2) a is F, and (3) a being F represents our total evidence relevant to the question whether a is G or not, then a is G. Tara being an Indian living in Punjab represents our total evidence relevant to the question whether she is Muslim or not. Thus, Tara is Muslim.

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