Final answer:
Intelligent agents in the realm of artificial intelligence (AI) demonstrate problem-solving capability, which enables them to identify and solve complex issues, differentiating them from other technologies like machine learning and pattern recognition.
Step-by-step explanation:
Intelligent agents demonstrate the ability to select problems or situations that need attention and act on them, which is defined as problem-solving capability. This is a crucial aspect of artificial intelligence (AI), which can effectively be defined as 'the simulation of human intelligence by machines programmed to mimic human thought and actions.' AI encompasses various capabilities, including machine learning, pattern recognition, and indeed, problem-solving capabilities.
Machine learning is a subset of AI focusing on systems that learn from data, pattern recognition involves identifying patterns in data, but it is the problem-solving capability that allows AI systems to identify and solve complex problems, often using algorithms and heuristics. This capacity is evident in diverse applications of AI, from self-driving cars to virtual assistants, and forms the foundation for more sophisticated AI classifications, such as reactive machines, limited memory, theory of mind, and self-aware AI.
Therefore, within the provided options, intelligent agents demonstrate problem-solving capability, which is the answer to the question.