Executes advanced multi-step reasoning process for complex problems.

Performs systematic problem-solving using analyze, plan, execute, evaluate, and adapt phases. Updates performance metrics based on reasoning outcomes.

Parameters

• agent - AI Agent struct
• problem_context - Context information about the problem to solve

Returns

Tuple with updated agent and list of reasoning step results

Examples

iex> AIAgent.execute_advanced_reasoning(agent, %{type: :optimization})
{updated_agent, [{:analyze, :analysis_complete}, ...]}

Creates a new AI Agent with advanced learning and reasoning capabilities.

Parameters

• opts - Configuration options:
  • :id - Agent identifier (generates random if not provided)
  • :intelligence_level - Level of intelligence (:basic, :intermediate, :advanced)
  • :specialization - Agent specialization (:general, :problem_solving, etc.)
  • :autonomy_level - Degree of autonomy (:low, :medium, :high)
  • :goal - Custom goal function

Returns

AIAgent struct with initialized capabilities and performance metrics

Examples

iex> Object.Subtypes.AIAgent.new(intelligence_level: :advanced)
%Object.Subtypes.AIAgent{intelligence_level: :advanced, ...}

Performs self-modification using meta-DSL constructs.

Enables the AI agent to modify its own behavior and capabilities based on performance feedback and adaptation requirements.

Parameters

• agent - AI Agent struct
• modification_context - Context for the modification including performance feedback

Returns

Updated AI Agent with modified capabilities and improved performance metrics