Probabilistic algorithms use randomness as part of their logic, often providing faster or simpler solutions compared to deterministic algorithms, though they may produce incorrect results with a small probability. They are particularly useful in scenarios where an approximate solution is sufficient or where deterministic solutions are computationally expensive.