TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries Evan R. Sparks Ameet Talwalkar

Source URL: arxiv.org

• Model selection
• PAQ
• Decision trees
• Ensemble learning
• Predictive analytics
• Supervised learning
• Grid search
• Random forest
• Feature selection
• Statistics
• Machine learning
• Artificial intelligence

Microsoft Word - Cooperation Detection - Basel.doc

Source URL: www.psych.uni-goettingen.de

• Philosophical logic
• Cognition
• Abstraction
• Cognitive psychology
• Interdisciplinary fields
• Deontic logic
• Wason selection task
• Norm
• Mental model
• Science
• Logic
• Ethology

Case-Based Goal-Driven Coordination of Multiple Learning Agents Ulit Jaidee1, Héctor Muñoz-Avila1, and David W. Aha2 1 Department of Computer Science & Engineering, Lehigh University, Bethlehem, PA 18015

Source URL: www.nrl.navy.mil

• Cognitive science
• Markov models
• Multi-agent systems
• Reinforcement learning
• Action selection
• Q-learning
• Agent-based model
• Actor model
• Stratagus
• Software
• Computing
• Artificial intelligence

Action Selection and Individuation in Agent Based Modelling Joanna J. Bryson University of Bath Department of Computer Science Artificial models of natural Intelligence (AmonI)

Source URL: www.cs.bath.ac.uk

• Simulation
• Multi-agent systems
• Ethology
• Artificial intelligence
• Reactive planning
• Action selection
• Agent-based model
• Finite-state machine
• Social simulation
• Science
• Models of computation
• Scientific modeling

What Does it Mean to Have an Architecture?∗ Brian Logan Abstract In this paper, I propose an approach to architectures which makes precise exactly what it means for an agent to ‘have’ an architecture, and allows us

Source URL: www.cs.nott.ac.uk

• Science
• Philosophical logic
• Metalogic
• 2APL
• Action selection
• Cognitive architecture
• Software agent
• 3APL
• Agent-based model
• Multi-agent systems
• Logic
• Artificial intelligence

Chapter-5 DISCUSSION To improve salinity tolerance in a crop species like Triticum aestivum L. through selection and breeding, availability of two components is necessary. Firstly, there must be

Source URL: prr.hec.gov.pk

• Staple foods
• Energy crops
• Model organisms
• Tropical agriculture
• Agronomy
• Wheat
• Salinity
• Plant breeding
• Rice
• Food and drink
• Biology
• Agriculture

Biorealistic Simulation of Baboon Foraging using Agent-Based Modelling W. I. Sellers University of Loughborough Department of Human Sciences Loughborough UK [removed]

Source URL: www.cs.nott.ac.uk

• Baboon
• Chacma baboon
• Foraging
• Action selection
• Yellow baboon
• Theoretical ecology
• Primatology
• Agent-based model
• Lotka–Volterra equation
• Fauna of Africa
• Artificial intelligence
• Hamadryas baboon

Affective vs. Deliberative Agent Control Matthias Scheutz? and Brian Logany ? School of Computer Science University of Birmingham

Source URL: www.cs.nott.ac.uk

• Science
• Mind
• Action selection
• Cognitive science
• Motor control
• Affect
• Intelligent agent
• Deliberative agent
• Agent-based model
• Artificial intelligence
• Multi-agent systems
• Feeling

G RAPH S PECIFIC ELEMENT OF BDMCMC METHOD Bayesian model selection in graphs by using BDgraph package

Source URL: files.meetup.com

A logic of situated resource-bounded agents Natasha Alechina and Brian Logan University of Nottingham School of Computer Science Nottingham NG8 1BB, UK {nza,bsl}@cs.nott.ac.uk

Source URL: www.cs.nott.ac.uk

• Model theory
• Mathematical logic
• Logical syntax
• Interpretation
• Modal logic
• Action selection
• Proposition
• Linear temporal logic
• Logic
• Philosophy of language
• Formal languages