By Chris Reed, Timothy J. Norman (auth.), Chris Reed, Timothy J. Norman (eds.)
In the past due Nineteen Nineties, AI witnessed an expanding use of the time period 'argumentation' inside its bounds: in average language processing, in person interface layout, in good judgment programming and nonmonotonic reasoning, in Al's interface with the criminal group, and within the newly rising box of multi-agent structures. It looked as if it would me that lots of those makes use of of argumentation have been encouraged by means of (of ten encouraged) guesswork, and nice majority of the AI group have been unaware that there has been a maturing, wealthy box of study in Argumentation idea (and serious pondering and casual good judgment) that were progressively re construction a scholarly method of the world over the former two decades or so. Argumentation conception, on its part; used to be constructing theories and methods that many within the box felt may have a task extra greatly in learn and soci ety, yet have been for the main half unaware that AI used to be the most effective applicants for such application.
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Extra resources for Argumentation Machines: New Frontiers in Argument and Computation
But a psychiatrist might be able to show that Bob is deceiving himself. Suppose Bob is committed to the proposition that the Turin shroud is authentic. What does this mean? Suppose for example that Bob wrote an article in Newsweek arguing that the Turin shroud is authentic. Bob cited a lot of evidence concerning carbon dating tests and the like and then on balance, he came to the conclusion that the shroud is authentic. Bob then is committed to the proposition that the shroud is authentic. Of course, Bob could retract this commitment, if new evidence comes in, or if he comes to a new conclusion on what he thinks that evidence shows.
The one agent can communicate with the other quite well by conducting communications on the basis of the other agent's commitments. As long as one agent will accept some proposition, even if that proposition cannot really be proved to be true or shown to be based on knowledge, acceptance or commitment may be quite enough to enable the two speech partners to move forward in the dialogue. Nor does one agent need to know which propositions the other agent believes. A probing into the other agent's beliefs might be quite difficult and uncertain.
The third is in law, where traditions of rhetoric and modem developments in argumentation might be expected to drive new innovation in AI & Law systems and theories. The fourth is in natural language generation, where models of rhetoric and argument structure can be put to work as operational definitions and algorithms for system design and implementation. And the fifth picks up on the importance of rhetoric across different subfields, identifying the roles that rhetorical models can play throughout AI, and considering how such application might lead to new departures for rhetoric itself.