Domain

Remarks

Beginning

• Intelligence is a much sought after attribute & thoughtfulness is more often associated with humans
• Assuming that intelligence & thoughtfulness give rise to consciousness, then understanding & using consciousness needs the prerequisite of intelligence

Intelligence

• What can be labeled as intelligent? What are the criteria?
• Is intelligence a natural phenomenon? If we assume it is, what are the underlying enabling mechanisms? Can we use artificial models to create intelligence, thus consciousness?
• Adaptation to changes
• Bloom's taxonomy learning model
• Dr Edward De Bono's six thinking hats

Bases for intelligence

• Knowledge: processes & understanding of phenomena
• Observation: keen sensory, cognition, pattern synthesis
• Learning: sense-synthesis-respond-memory; incorporate new, update old, discard irrelevant
• Thinking: reasoning, inference, beliefs

Artificial intelligence

• The recreation & creation of intelligence artificially
• Through modeling, research, programming & testing
• Direct intelligence has yet to be fully realized as what was difficult for people and easy for computers was more than offset by the things that were easy for people to do but almost impossible for computers to do
• Due to lack of understanding of intelligence, computation, bio-computing knowledge, people-machine interface
• Indirect intelligence has produced graphical user interface (GUI), object-oriented programming (OOP), expert systems, evolutionary algorithms & connectionism
• The fundamental question: "what can be smart?"

Facets of AI

• Symbol processing: abstracting phenomena into physical symbols for formulation, manipulation & solution; a high-level cognitive process; conscious level
• Neural network: parallel architecture for connecting (weights) a network of brain cells (neurons); a low-level cognitive pattern recognition & sensory processing; unconscious level

Intelligent agents

• Thinking representatives that assist us in the increasingly networked, sophisticated world
• Basic model: Events - Conditions - Actions
• Events: sensory contacts to environmental context
• Conditions: evaluation, reasoning, thinking of decisions
• Actions: performance of intentions, agency, mobility

Types of IA

• Reactive or reflex: neural-network stimulus type
• Deliberative: symbolic reasoning type that plans actions to reach goals
• Collaborative: work together to solve problems, share & ex
• Interface: learn by observations, analyze feedback, user-defined & learn from other agents' experiences
• Information: searching, filtering & organizing information

IA fundamental

• Are the agents enabling & automating, not frustrating or intrusive?