Key Action 2: Cooperation for innovation and the exchange of good practices - Capacity-building projects in the field of higher education FREQUENTLY ASKED QUESTIONS Selection -1st Call[removed]EAC-A04-2014)

Source URL: eacea.ec.europa.eu

• Erasmus Mundus
• Knowledge
• Erasmus Programme
• TEMPUS
• Desiderius Erasmus
• Interreg
• Educational policies and initiatives of the European Union
• Education
• Academia

Erasmus+ Programme Key-Action 2: Cooperation for innovation and the exchange of good practices - Capacity building in the field of youth[removed]Selection Round 2 - awarded applications N°

Source URL: eacea.ec.europa.eu

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

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

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

Decentralized Bayesian Reinforcement Learning for Online Agent Collaboration A. Rogers1 , N. R. Jennings1 S. McClean4 , G. Parr4 W. T. L. Teacy1 , G. Chalkiadakis2

Source URL: eprints.soton.ac.uk

• Bayesian statistics
• Stochastic control
• Markov models
• Markov decision process
• Reinforcement learning
• Conjugate prior
• Bayesian inference
• Q-learning
• Action selection
• Statistics
• Dynamic programming
• Markov processes

Phil. Trans. R. Soc. B doi:[removed]rstb[removed]Published online An agent-based model of group decision making in baboons

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

• Science
• Multi-agent systems
• Foraging
• Action selection
• Asymmetric information
• Agent-based model
• Flocking
• Affect
• Agent
• Ethology
• Artificial intelligence
• Behavior