Description of Network Features
The following table summarizes information about the network nodes in the basic KARMA example corresponding to features (in target and source domains).

FEATURE NAME*	DESCRIPTION	POSSIBLE VALUES
TARGET DOMAIN
DIFF	difficulty	Present, Absent
EC_STATE	economic state	Recession, No_Growth, Low_Growth, Mod_Growth, High_Growth
ASPECT	aspectual status	Ready, Starting, Ongoing, Suspended, Finishing, Done, Stopped, Canceled (corresponding to the standard controller graph for aspect)
IN_CONTROL	Whether the actor is in control of the policy/state	True, False
POL_EVAL	policy evaluation information that can be inferred from the input	Good, Bad
GOAL	goal of the policy	Unregulated_freetrade, Protectionism
OUTCOME	the outcome of the policy	Succeed, Fail
PROG_AMT	amount of progress made at different stages	None, Low, Med, High
ACTOR	economic actor	IG (Indian Government), US, FRANCE, GERMANY
POLICY	The type of Economic Policy followed	Liberalization, Protectionism
PROG_RATE	Rate of Progress in Policy	None, Low, Med, High
PROG_DIR	Policy Direction	Forward (toward Goal), Backward (away from Goal), Sideways (Tangential)
SOURCE DOMAIN
OBSTACLE	obstacle (blocking motion on path)	Present, Absent
LOC	Location	Hole, Stable (on stable ground), Slippery, Uphill
PAT_STATE	patient health state	Healthy, Diseased
CONTROLLER_STATE	aspectual status	(same as controller graph nodes)
STABILIZE	recover stability (x-schema)	True, False
EXPEND_ENERGY	expend energy	Low, Med, High
UNSTABLE	unstable	False, True
FALL	fall (x-schema)	False, True (x-schema selection)
DISTANCE	distance (x-schema parameter)	Tiny, Small, Med, Large, Giant
MOVER	mover, trajector of motion	x-schema role
MOTION	presence of motion	Present, Absent
TREATMENT	quality of treatment	Good, Bad
speed	speed (x-schema parameter)	slow-, slow, med, high, high+
DIRECTION	direction (x-schema parameter)	forward, backward, sideways

*Target features have nodes corresponding to three time steps. Links between time steps correspond to temporal persistence links.

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The following table summarizes information about the network nodes in the basic KARMA example corresponding to active metaphors.

METAPHORS **	DESCRIPTION
OBSTACLES_ARE_DIFFICULTIES	Event Structure Metaphor
LOCATIONS_ARE_STATES	same as above
PAT_STATE_IS_EC_STATE	Economies are usually viewed as patients and the state of the economy as the state of the patient (from the Health Source Domain)
CONTROL_IS_CONTROL (ACT)	Control of one's bodily motions in the source domain are mapped to control of the policy of action.
FALL_IS_FAIL	Event Structure Metaphor
DISTANCE(forw)_IS_PROG_AMT	Event Structure Metaphor
ACTORS_ARE_MOVERS	Event Structure Metaphor
MOTION_IS_ACTION	Event Structure Metaphor
TREAT_TYPE_IS POLICY	Health domain metaphor that seems quite productive in economics. Can be used to specify evaluation of policies, assign responsibility/blame, etc.
PROG_RATE_IS_SPEED	Event Structure Metaphor
POL(dir)_IS_MOTION (dir)	Event Structure Metaphor

**All metaphors are either active or inactive during processing.