Download Logic Programming: First Russian Conference on Logic by Yves Bekkers, Lucien Ungaro (auth.), A. Voronkov (eds.) PDF
By Yves Bekkers, Lucien Ungaro (auth.), A. Voronkov (eds.)
This quantity includes the lawsuits of 2 Russian meetings on good judgment programming, held in 1990 in Irkutsk and in 1991 in St. Petersburg. the purpose of the meetings used to be to assemble researchers from the Russian and the foreign good judgment programming groups. subject matters coated within the quantity comprise: common sense programming, computerized theorem proving, non-monotonic reasoning, purposes of mathematical good judgment to machine technology, deductivedatabases, implementation of declarative options, and programming in non-classical logics. this can be the 1st quantity to symbolize task within the box of common sense programming within the nations of the previous Soviet Union.
Read or Download Logic Programming: First Russian Conference on Logic Programming Irkutsk, Russia, September 14–18, 1990 Second Russian Conference on Logic Programming St. Petersburg, Russia, September 11–16, 1991 Proceedings PDF
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Extra resources for Logic Programming: First Russian Conference on Logic Programming Irkutsk, Russia, September 14–18, 1990 Second Russian Conference on Logic Programming St. Petersburg, Russia, September 11–16, 1991 Proceedings
Example text
A block is said to be a self-deadlock if it is misplaced and above another block which it is also above in the goal state; for example, block a is a self-deadlock in Figure 1. The concept of self-deadlocks, also called singleton deadlocks, is important because on average nearly 40% of the blocks are self-deadlocks [1]. Representing Knowledge and Goals. In the remainder of this paper, we will use Prolog notation to define and specify knowledge and goals. The basic facts and goals to be achieved in the Blocks World can be expressed by means of the predicate on(X,Y).
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References 1. : Blocks World revisited. Artificial Intelligence 125, 119–153 (2001) 2. : A Verification Framework for Agent Programming with Declarative Goals. Journal of Applied Logic 5(2), 277–302 (2007) 3. : To block or not to block? A. ) IBERAMIA 2004. LNCS, vol. 3315, pp. 134–143. Springer, Heidelberg (2004) 4. : On the Complexity of Blocks-World Planning. Artificial Intelligence 56(2-3), 223–254 (1992) 5. : AgentSpeak(XL): Efficient Intention Selection in BDI agents via Decision-Theoretic Task Scheduling.