Other material could be made available during the course.
Argomenti del programma: The course is organized through a mix of theoretical lectures and practical computer activities that contribute to the assessment of students' learning outcomes. Lectures include the following topics: Data management: data pre-processing, data cleaning, feature engineering, data imputation, and data rebalancing.
Further teaching material could be possibly made available along the course.
Argomenti del programma: 1. Introduction to the concepts of autonomous agents and multiagent systems. 2. Autonomous agents as rational decision-makers: architecture for intelligent agents, Markov decision processes. 3. Interactions between self-interested agents: short introduction to game theory, coalition formation. 4. Interactions between cooperative agents: multiagent planning, distributed constraint optimization. 5.
Argomenti del programma: Introduction to AI overview of the problems tackled in AI main research areas and application fields State space and related problem solving methods state spaces and search methods non-informed and informed search methods adversarial search: minimax, alfa-beta pruning, and Monte Carlo tree search constraint satisfaction problems Logic and reasoning recalls of propositional logic recalls of resolution theorem proving…
Argomenti del programma: Introduction to AI overview of the problems tackled in AI main research areas and application fields State space and related problem solving methods state spaces and search methods non-informed and informed search methods adversarial search: minimax, alfa-beta pruning, and Monte Carlo tree search constraint satisfaction problems Logic and reasoning recalls of propositional logic recalls of resolution theorem proving…
Argomenti del programma: Introduction to AI overview of the problems tackled in AI main research areas and application fields State space and related problem solving methods state spaces and search methods non-informed and informed search methods adversarial search: minimax, alfa-beta pruning, and Monte Carlo tree search constraint satisfaction problems Logic and reasoning recalls of propositional logic recalls of resolution theorem proving…
Argomenti del programma: Introduction to AI overview of the problems tackled in AI main research areas and application fields State space and related problem solving methods state spaces and search methods non-informed and informed search methods adversarial search: minimax, alfa-beta pruning, and Monte Carlo tree search constraint satisfaction problems Logic and reasoning recalls of propositional logic recalls of resolution theorem proving…
Further teaching material could be possibly made available along the course.
Argomenti del programma: 1. Introduction to the concepts of autonomous agents and multiagent systems. 2. Autonomous agents as rational decision-makers: architecture for intelligent agents, Markov decision processes. 3. Interactions between self-interested agents: short introduction to game theory, coalition formation. 4. Interactions between cooperative agents: multiagent planning, distributed constraint optimization. 5.
Argomenti del programma: Introduction to AI overview of the problems tackled in AI main research areas and application fields State space and related problem solving methods state spaces and search methods non-informed and informed search methods adversarial search: minimax, alfa-beta pruning, and Monte Carlo tree search constraint satisfaction problems Logic and reasoning recalls of propositional logic recalls of resolution theorem proving…
Argomenti del programma: Introduction to AI overview of the problems tackled in AI main research areas and application fields State space and related problem solving methods state spaces and search methods non-informed and informed search methods adversarial search: minimax, alfa-beta pruning, and Monte Carlo tree search constraint satisfaction problems Logic and reasoning recalls of propositional logic recalls of resolution theorem proving…
Argomenti del programma: Introduction to AI overview of the problems tackled in AI main research areas and application fields State space and related problem solving methods state spaces and search methods non-informed and informed search methods adversarial search: minimax, alfa-beta pruning, and Monte Carlo tree search constraint satisfaction problems Logic and reasoning recalls of propositional logic recalls of resolution theorem proving…
Argomenti del programma: Introduction to AI overview of the problems tackled in AI main research areas and application fields State space and related problem solving methods state spaces and search methods non-informed and informed search methods adversarial search: minimax, alfa-beta pruning, and Monte Carlo tree search constraint satisfaction problems Logic and reasoning recalls of propositional logic recalls of resolution theorem proving…
Further teaching material could be possibly made available along the course.
Argomenti del programma: 1. Introduction to the concepts of autonomous agents and multiagent systems. 2. Autonomous agents as rational decision-makers: architecture for intelligent agents, Markov decision processes. 3. Interactions between self-interested agents: short introduction to game theory, coalition formation. 4. Interactions between cooperative agents: multiagent planning, distributed constraint optimization. 5.
Argomenti del programma: Introduction to AI overview of the problems tackled in AI main research areas and application fields State space and related problem solving methods state spaces and search methods non-informed and informed search methods adversarial search: minimax, alfa-beta pruning, and Monte Carlo tree search constraint satisfaction problems Logic and reasoning recalls of propositional logic recalls of resolution theorem proving…
Argomenti del programma: Introduction to AI overview of the problems tackled in AI main research areas and application fields State space and related problem solving methods state spaces and search methods non-informed and informed search methods adversarial search: minimax, alfa-beta pruning, and Monte Carlo tree search constraint satisfaction problems Logic and reasoning recalls of propositional logic recalls of resolution theorem proving…
Further teaching material could be possibly made available along the course.
Argomenti del programma: 1. Introduction to the concepts of autonomous agents and multiagent systems. 2. Autonomous agents as rational decision-makers: architecture for intelligent agents, Markov decision processes. 3. Interactions between self-interested agents: short introduction to game theory, coalition formation. 4. Interactions between cooperative agents: multiagent planning, distributed constraint optimization. 5.
Libri Universitari