Online Agent Supervision in the Situation Calculus

Authors: Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance

IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical The main results of this paper are (i) a formalization of the online maximally permissive supervisor, (ii) a sound and complete technique for execution of the agent as constrained by such a supervisor, and (iii) a new type of lookahead search construct that ensures nonblockingness over such online executions.
Researcher Affiliation Academia Bita Banihashemi York University Toronto, Canada bita@cse.yorku.ca Giuseppe De Giacomo Sapienza Universit a di Roma Roma, Italy degiacomo@dis.uniroma1.it Yves Lesp erance York University Toronto, Canada lesperan@cse.yorku.ca
Pseudocode No The paper does not contain structured pseudocode or algorithm blocks. It defines logical predicates and language constructs but not procedural pseudocode.
Open Source Code No The paper does not provide concrete access to source code for the methodology described.
Open Datasets No The paper is theoretical and does not discuss datasets for training or their public availability.
Dataset Splits No The paper is theoretical and does not provide specific dataset split information for validation.
Hardware Specification No The paper does not provide specific hardware details used for running experiments.
Software Dependencies No The paper refers to theoretical frameworks (Situation Calculus, Con Golog) but does not provide specific ancillary software details with version numbers (e.g., libraries, solvers).
Experiment Setup No The paper is theoretical and does not provide specific experimental setup details such as hyperparameters or training configurations.