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A minimal cognitive architecture reproduces control of human decision-making processes

A minimal cognitive architecture reproduces control of human decision-making processes
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France General , Jean Daunizeau , Communications Psychology , Nature Communications Psychology , Paris Brain Institute , Sciencex Network , Markov Decision Processes ,

Forge ahead into the future of intelligent systems with the Artificial Intelligence and Autonomous Systems programme offered by IISc in collaboration with Talent Sprint

Spotlight News: This 9-month long, industry-aligned programme is delivered by IISc’s Centre for Continuing Education (CCE) and TalentSprint. ....

Shalabh Bhatnagar , John Deere , Shishir Kolathya , Senior Staff Research , Amazon Web Services , Institute Of Eminence , Autonomous Systems Program Intro , Iisc Centre For Continuing Education , Indian Institute Of Science Iisc , Talentsprint Alumni Network , Robert Bosch Center , Department Of Computer Science , World Economic Forum , Robert Bosch Centre For Cyber , Ambedkar Dukkipati Programme Coordinator , Software Engineer Manager , World University Rankings , Indian Institute Of Science Artificial Intelligence , Research Institute , Artificial Intelligence , Robotic Process Automation , Advanced Certification Programme , Autonomous Systems , Continuing Education , Indian Institute , Multi Armed Bandits ,

Decision Science Meets Design

The design process has changed dramatically over the last few decades. What was once a domain driven by human intuition, judgment, and aesthetic preferences is now augmented by computational methods… ....

Houssame Eddine Hsain , Decision Science Meets , Decision Science , Generative Design Problems , Markov Decision Processes ,

Reinforcement Learning Lecture Series 2021

The 2021 Reinforcement Learning Lecture series, created in collaboration with UCL, explores everything from dynamic programming to deep reinforcement learning. ....

University College London , Markov Decision Processes ,

"DITURIA: A Framework for Decision Coordination Among Multiple Agents" by Helena Ibro, Geeta Mahala et al.

Decision making in multi-agent settings is a complex exercise where agents have to handle incomplete knowledge of the complete problem. Agents are interdependent in multi-agent decision making, being subject to the decisions of other agents who bring to bear other qualitative and quantitative criteria. Some aspects of this problem have been addressed in the Distributed Constraint Optimisation Problems (DCOP) and Markov Decision Processes literature. Taking inspiration from a medical example, our objective in this paper is to provide a framework to support multi-agent decision coordination. This method can be applied in scenarios where we seek to combine qualitative preferences on projected final states with assessment made using utility/objective functions, while accounting for partial agent knowledge. ....

Distributed Constraint Optimisation Problems , Markov Decision Processes , Adversarial Search , Ecision Coordination , Decision Optimisation ,