Artificial Intelligence Assignment Help , Artificial Intelligence Homework Help

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Our Online Artificial Intelligence tutors offer instant support for Artificial Intelligence weekly assignments. Send your assignments at This email address is being protected from spambots. You need JavaScript enabled to view it. for instant help or speak to us on the website chat.

Few Topics are:

• foundations, scope, problems, and approaches of AI.

• Intelligent agents: reactive, deliberative, goal-driven, utility-driven, and learning agents

  Artificial Intelligence programming techniques

• Problem-solving through Search: forward and backward, state-space, blind, heuristic, problem-reduction, A, A*, AO*, minimax, constraint propagation, neural, stochastic, and evolutionary search algorithms.

• Knowledge Representation and Reasoning: ontologies, representing and reasoning about objects, relations, events, actions, time, and space; predicate logic, situation calculus, description logics, reasoning with defaults, reasoning about knowledge, sample applications.

• Planning: planning as search, partial order planning, construction and use of planning graphs

• Representing and Reasoning with Uncertain Knowledge: probability, connection to logic, independence, Bayes rule, bayesian networks, probabilistic inference.

• Decision-Making: basics of utility theory, decision theory, sequential decision problems, elementary game theory.

• Machine Learning and Knowledge Acquisition: learning from memorization, examples, explanation, and exploration. learning nearest neighbor, naive Bayes, and decision tree classifiers, Q-learning for learning action policies, applications.

• Perception, communication, interaction, and action; multiagent systems

Complex Topics are:

• AI techniques and tools
  
• games programming
  
• complex software system
  
• search strategies for solving problems
  
• knowledge representation
  
• automated planning
  
• intelligent agents
  
• reasoning under uncertainty
  
• bio-inspired optimisation
  
• machine learning
  
• search heuristics
  
• automated planning and agent systems
  
• probabilistic reasoning
  
• knowledge-base systems
  
• probabilistic models
  
• AI solution techniques
  
• artificial intelligence techniques
  
• knowledge representation and reasoning
  
• probabilistic inference
  
• machine learning, and natural language
• human and machine vision
  
• signal and speech processing
  
• artificial life
  
• mathematical foundations of connectionism
  
• computational learning theory
  
• Methods of general problem solving
  
• mathematical logic Mechanical theorem proving
  
• Game playing
  
• Natural language processing

Online Artificial Intelligence Tutors Help with:

• problem solving, reasoning
  
• games, and machine learning
  
• uninformed and informed graph search algorithms
  
• propositional logic and forward and backward chaining algorithms
  
• declarative programming with Prolog
  
• the min-max and alpha-beta pruning algorithms
  
• Bayesian networks and probabilistic inference algorithms
  
• classification learning algorithms
  
• consistency algorithms
  
• local search and heuristic algorithms
  
• simulated annealing
  
• population-based algorithms
  
• genetic search and swarm optimisation