By Gerhard K. Kraetzschmar
This booklet offers a scientific in-depth research of a category of multiple-context assumption-based multiagent reasoning difficulties, commonplace, e.g., for dispensed making plans, scheduling, and keep watch over. First, logical and architectural foundations are supplied to build the 2 platforms XFRMS and MXFRMS permitting the improvement of extra advanced utilities. Then the know-how built for XFRMS within the single-agent case is additional stronger to the multiagent state of affairs. The multiagent RMS MXFRMS offers, besides XFRMS, a pretty good origin for construction extra complicated utilities, similar to plan or agenda upkeep structures. within the ultimate bankruptcy, the software program engineer faced with the duty of establishing a attainable multiagent method can discover a dialogue of capability makes use of and destiny extensions of the platforms provided.
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G. meeting m4 to be held in seattle, are met by her scheduling decisions, she can simply include the respective propositions into FA1. The clauses for checking consistency will then ensure that a conflict is discovered. Representing several alternative schedules is obviously no problem: the problem solver simply uses different sets FA~ of scheduling decisions. It is similarly easy to "modify" schedules: The problem solver makes new scheduling decisions, adds all new relevant data dependencies as clauses to F, and uses a different set FAj of scheduling decisions.
2. The first four columns represent the alternatives. Jr- -- _ Schedule D a t a ~ M-~t-~ngI Place II Flight I H~ Monday Tuesday Tuesday Wednesday Wednesday Thursday Thursday Thursday Friday Friday Friday Friday Saturday ml m2 m5 m3 m4 m4 m3 m2 m5 m5 m2 m3 Boston --Boston . . . Seattle B--+S SH Seattle B-~S SH Seattle SH Seattle . . 2: Patricia's second schedule. symbols + and - axe again used to indicate that a line is part of an alternative or not. T h e alternatives themselves are marked +, - , or O, which indicates whether an alternative represents a complete schedule meeting all constraints (+) or not ( - ) and which one is the alternative currently selected for execution (O).
Bench-Capon, 1990] or [Stoyan, 1988] and [Stoyan, 1991]. 2 Formalization of Assumption-Based Reasoning 33 are production rules s, semantic nets 9, frames 1~ and constraints 11. The by far largest variety of approaches have been developed in logics 12. The use of logics has been strongly advocated by John McCarthy, Nils Nilsson and many others for a long time. la Some of the more often cited reasons in support for using logics in AI axe the following: 9 Logic has by far the strongest foundation, mainly because of its very long tradition in mathematics and philosophy, which reaches back to the ancient Greeks.
Distributed Reason Maintenance for Multiagent Systems by Gerhard K. Kraetzschmar