[go: up one dir, main page]

Callaway et al., 2021 - Google Patents

Human planning as optimal information seeking

Callaway et al., 2021

View PDF
Document ID
7501013599901942414
Author
Callaway F
Van Opheusden B
Gul S
Das P
Krueger P
Lieder F
Griffiths T
Publication year
Publication venue
Manuscript in preparation

External Links

Snippet

A critical aspect of human intelligence is our ability to plan, that is, to use a model of the world to simulate, evaluate, and select among hypothetical future actions. However, exhaustive planning is intractable because the number of possible action sequences …
Continue reading at files.osf.io (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/04—Inference methods or devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/005—Probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/12—Computer systems based on biological models using genetic models
    • G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis

Similar Documents

Publication Publication Date Title
Callaway et al. Rational use of cognitive resources in human planning
Callaway et al. Human planning as optimal information seeking
US7707131B2 (en) Thompson strategy based online reinforcement learning system for action selection
Cheng et al. Preference-based policy iteration: Leveraging preference learning for reinforcement learning
Yang et al. A survey on reinforcement learning for combinatorial optimization
Metaxiotis et al. Integrating fuzzy logic into decision suppport systems: current research and future prospects
Chang et al. Data-driven experimental design and model development using Gaussian process with active learning
Jain et al. Measuring how people learn how to plan.
Semogan et al. A rule-based fuzzy diagnostics decision support system for tuberculosis
Xu et al. Deep reinforcement learning for quantitative trading
Ramezankhani et al. A transductive learning-based early warning system for housing and stock markets with off-policy optimization
Ren et al. RiskMiner: Discovering Formulaic Alphas via Risk Seeking Monte Carlo Tree Search
Lipovetzky Planning for novelty: Width-based algorithms for common problems in control, planning and reinforcement learning
Amhraoui et al. Expected Lenient Q-learning: a fast variant of the Lenient Q-learning algorithm for cooperative stochastic Markov games
Garcia et al. Inverse engineering preferences in the graph model for conflict resolution
Kitzis et al. Broadening the tests of learning models
Antonov et al. Exploring replay
Chang et al. COMB: Scalable concession-driven opponent models using bayesian learning for preference learning in bilateral multi-issue automated negotiation
Li A Design Trajectory Map of Human-AI Collaborative Reinforcement Learning Systems: Survey and Taxonomy
Shachter et al. Using potential influence diagrams for probabilistic inference and decision making
Hajek et al. Interval-valued intuitionistic fuzzy cognitive maps for stock index forecasting
Lu AlphaSMT: A reinforcement learning guided SMT solver
Velázquez-Vargas et al. Learning to Move and Plan like the Knight: Sequential Decision Making with a Novel Motor Mapping
Lu Automated Machine Learning and Data-Driven Decision Support System for Strategy Management in Organizational Activities
Bauman et al. A Deep Learning Approach to Goal-Based Portfolio Optimization in Non-Stationary Environments