Advances in Artificial Intelligence: 10th Mexican by Kryštof Hoder, Laura Kovács, Andrei Voronkov (auth.), Ildar

By Kryštof Hoder, Laura Kovács, Andrei Voronkov (auth.), Ildar Batyrshin, Grigori Sidorov (eds.)

The two-volume set LNAI 7094 and LNAI 7095 constitutes the refereed lawsuits of the tenth Mexican foreign convention on man made Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The ninety six revised papers offered have been rigorously reviewed and chosen from a variety of submissions. the 1st quantity comprises 50 papers representing the present major issues of curiosity for the AI group and their purposes. The papers are equipped within the following topical sections: computerized reasoning and multi-agent platforms; challenge fixing and desktop studying; traditional language processing; robotics, making plans and scheduling; and clinical functions of man-made intelligence.

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Additional info for Advances in Artificial Intelligence: 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011, Proceedings, Part I

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It also shows the percentage of generated invariants shown to be redundant. As one can see, on the average over 80% of the generated invariants were proved to be redundant. Moreover, Table 1 reports whether quantified invariants with only universal quantifier (∀-Inv) and with quantifier alternations (∀∃-Inv) have been generated. The relative size of the minimised set varies from example to example. Also, the intended invariant is always implied by the invariants generated in the first second (as reported in Table 3).

For example, any inference applied to two invariants gives an invariant. For this reason, 1 As described in [7], for every program variable v two transparent variables v0 and v are used, denoting the initial and the final values of this loop variable. Further, a colored unary function symbol v is introduced, such that v(X) denotes the value of the loop variable v at iteration X. Case Studies on Invariant Generation Using a Saturation Theorem Prover 9 Table 1. Symbol elimination on programs from [2,13], by running Vampire with 1 and 10 seconds of time limit Loop Initialisation Copy Find Vararg Partition Partition Init Shift SEI 15 24 151 1 166 168 41 Symbol Elimination within 1s Min SEI % Redundancy ∀-Inv ∀∃-Inv 5 67% yes no 5 79% yes no 13 91% yes no 1 0% yes no 38 77% yes yes 24 86% yes yes 12 71% yes no SEI 40 25 474 1 849 692 111 Symbol Elimination within 10s Min SEI % Redundancy ∀-Inv ∀∃-Inv 5 88% yes no 5 80% yes no 21 96% yes no 1 0% yes no 59 93% yes yes 127 82% yes yes 16 86% yes no [7] only stores invariants obtained by an inference having at least one colored premise, that is, a symbol-eliminating inference.

Finally, we present the theorem that indicates the relationship between M M r and CF 2. Theorem 1. [12] Given an argumentation framework AF = AR, Attacks , r and given E ⊆ AR, E ∈ M MM (PAF ) if and only if E ∈ CF 2(AF ). 4 Preferred Extension and M M r Semantics The idea about to define a mapping in order to regard argumentation frameworks as logic programs was used by Dung previously in [9]. In fact, one can see in [9] that the mapping proposed by Dung is able to characterize the grounded and stable argumentation semantics; however, to the best of our knowledge, that mapping is unable to characterize the preferred argumentation semantics by considering a logic programming semantics with negation as failure.

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