On the public citation graph
Depth-limited search for real-time problem solving
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4613-8716-9_14openalex-snapshot
Some Studies in Machine Learning Using the Game of Checkers. I
inferredcites →https://doi.org/10.1016/0004-3702(75)90019-3openalex-snapshot
An analysis of alpha-beta pruning
inferredcites →https://doi.org/10.1016/0004-3702(85)90084-0openalex-snapshot
Depth-first iterative-deepening
inferredcites →https://doi.org/10.1016/0004-3702(90)90054-4openalex-snapshot
Real-time heuristic search
inferredcites →https://doi.org/10.1016/0004-3702(91)90082-uopenalex-snapshot
Multi-player alpha-beta pruning
inferredcites →https://doi.org/10.1016/c2013-0-07701-8openalex-snapshot
Exploring Artificial Intelligence
inferredcites →https://doi.org/10.1080/01969727208545856openalex-snapshot
Look-Ahead and One-Person Games
inferredcites →https://doi.org/10.1080/14786445008521796openalex-snapshot
XXII. Programming a computer for playing chess
inferredcites →https://doi.org/10.1109/tssc.1968.300136openalex-snapshot
A Formal Basis for the Heuristic Determination of Minimum Cost Paths
inferredcites →https://doi.org/10.1145/358589.358616openalex-snapshot
The solution for the branching factor of the alpha-beta pruning algorithm and its optimality
inferredcites →https://doi.org/10.1147/rd.33.0210openalex-snapshot
Some Studies in Machine Learning Using the Game of Checkers
inferredcites →https://doi.org/10.1147/rd.441.0206openalex-snapshot
Some studies in machine learning using the game of checkers
inferredcites →https://doi.org/10.1609/aimag.v10i2.753openalex-snapshot
Deep Thought Wins Fredkin Intermediate Prize
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-45331-8_9openalex-snapshot
A Temporal Many-Valued Logic for Real Time Control Systems
inferred← citeshttps://doi.org/10.1007/3-540-45448-9_5openalex-snapshot
Evolving Real-Time Local Agent Control for Large-Scale Multi-agent Systems
inferred← citeshttps://doi.org/10.1007/bf01088630openalex-snapshot
A survey of research in deliberative real-time artificial intelligence
inferred← citeshttps://doi.org/10.1007/s10489-007-0083-xopenalex-snapshot
Planning in highly dynamic environments: an anytime approach for planning under time constraints
inferred← citeshttps://doi.org/10.1007/s10596-020-10017-yopenalex-snapshot
Fast robust optimization using bias correction applied to the mean model
inferred← citeshttps://doi.org/10.1016/0066-4138(91)90019-8openalex-snapshot
Knowledge representation for real-time on-line industrial inspection systems
inferred← citeshttps://doi.org/10.1016/0066-4138(94)90036-1openalex-snapshot
Integrating real-time AI techniques in adaptive intelligent agents
inferred← citeshttps://doi.org/10.1016/0066-4138(94)90083-3openalex-snapshot
Real time planning in N-dim state space
inferred← citeshttps://doi.org/10.1016/b978-0-08-041698-4.50023-8openalex-snapshot
Knowledge representation for real-time on-line industrial inspection systems
inferred← citeshttps://doi.org/10.1016/b978-0-08-042236-7.50005-5openalex-snapshot
Integrating Real-Time AI Techniques in Adaptive Intelligent Agents
inferred← citeshttps://doi.org/10.1016/j.jpdc.2017.11.010openalex-snapshot
Resource discovery for distributed computing systems: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.procir.2016.11.011openalex-snapshot
Optimized Adaptive Scheduling of a Manufacturing Process System with Multi-skill Workforce and Multiple Machine Types: An Ontology-based, Multi-agent Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1016/s0167-739x(00)00086-8openalex-snapshot
Building a model for real-time simulation
inferred← citeshttps://doi.org/10.1109/12.508319openalex-snapshot
On-line scheduling policies for a class of IRIS (increasing reward with increasing service) real-time tasks
inferred← citeshttps://doi.org/10.1109/dasc.1992.282159openalex-snapshot
A real-time knowledge processing executive for Army rotorcraft applications
inferred← citeshttps://doi.org/10.1109/icci.1992.227653openalex-snapshot
AI in real time: is this feasible?
inferred← citeshttps://doi.org/10.1109/icmas.2000.858523openalex-snapshot
State-based control for organizationally situated agents
inferred← citeshttps://doi.org/10.1109/tai.1994.346447openalex-snapshot
GREAT: a model of progressive reasoning for real-time systems
inferred← citeshttps://doi.org/10.1109/tai.1999.809806openalex-snapshot
A dynamic scheduling benchmark: design, implementation and performance evaluation
inferred← citeshttps://doi.org/10.1145/164996.165007openalex-snapshot
A bibliography on minimax trees
inferred← citeshttps://doi.org/10.1145/166955.167013openalex-snapshot
Efficient on-line processor scheduling for a class of IRIS ( increasing reward with increasing service ) real-time tasks
inferred← citeshttps://doi.org/10.1145/166962.167013openalex-snapshot
Efficient on-line processor scheduling for a class of IRIS ( increasing reward with increasing service ) real-time tasks
inferred← citeshttps://doi.org/10.31234/osf.io/r25qnopenalex-snapshot
Thinking about thinking through inverse reasoning
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